<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/40589?offset=30</link>
	<atom:link href="https://bioinformaticsonline.com/related/40589?offset=30" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38389/blast-options-setting-and-defaults</guid>
	<pubDate>Mon, 10 Dec 2018 08:29:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38389/blast-options-setting-and-defaults</link>
	<title><![CDATA[BLAST options, setting and defaults]]></title>
	<description><![CDATA[<p>BLAST stands for Basic Local Alignment Search Tool and was developed by Altschul et al. (1990) and significantly improved by&nbsp;<a href="http://www3.oup.co.uk/nar/Volume_25/Issue_17/freepdf/">Altschul et al. (1997).</a>&nbsp;It is a very fast search algorithm that is used to separately search protein or DNA databases. BLAST is best used for sequence similarity searching, rather than for motif searching. For searches using a query sequence of fewer than twenty residues,&nbsp;<a href="https://www.arabidopsis.org/servlets/tools/patmatch/">PatMatch</a>&nbsp;is the best choice. Another sequence alignment tool that may yield different results from BLAST, and may be useful for motif searching, is&nbsp;<a href="https://www.arabidopsis.org/cgi-bin/fasta/TAIRfasta.pl">FASTA</a>. To search nonplant datasets, try&nbsp;<a href="http://seqsim.ncgr.org/newBlast.html">NCGR BLAST</a>&nbsp;or&nbsp;<a href="http://www.ncbi.nlm.nih.gov/blast/blast.cgi?Jform=0">NCBI BLAST</a>.</p>
<p>A fairly complete on-line guide to BLAST searching can be found at the&nbsp;<a href="http://www.ncbi.nlm.nih.gov/BLAST/blast_help.html">NCBI BLAST Help Manual</a>. For a theoretical overview of BLAST, see the&nbsp;<a href="http://www.ncbi.nlm.nih.gov/BLAST/tutorial/Altschul-1.html">NCBI BLAST Course</a>. Additional information can be found in the&nbsp;<a href="https://www.arabidopsis.org/blast/aboutblast2.htm">BLAST 2.0 Release Notes</a></p>
<table border="1">
<tbody>
<tr><th>&nbsp;</th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">BLASTN</a></th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">BLASTP</a></th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">BLASTX</a></th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">TBLASTN</a></th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">TBLASTX</a></th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">PSIBLAST</a></th></tr>
<tr>
<td><a name="open" id="open"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#open"><strong>Gap opening penalty</strong></a>:<br>cost to open a gap [integer]</td>
<td align="center">default = 5</td>
<td align="center">default = 11<br>limited&nbsp;values&nbsp;are supported</td>
<td align="center">default = 11<br>limited&nbsp;values&nbsp;are supported</td>
<td align="center">default = 11<br>limited&nbsp;values&nbsp;are supported</td>
<td align="center">default = 11<br>limited&nbsp;values&nbsp;are supported</td>
<td align="center">default = 5</td>
</tr>
<tr>
<td><a name="extend" id="extend"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#extend"><strong>Gap extension penalty</strong></a>:<br>cost to extend a gap [integer]</td>
<td align="center">default = 2</td>
<td align="center">default = 1<br>a 0 in this field means to use the default</td>
<td align="center">default = 1<br>a 0 in this field means to use the default</td>
<td align="center">default = 1<br>a 0 in this field means to use the default</td>
<td align="center">default = 1<br>a 0 in this field means to use the default</td>
<td align="center">default = 2</td>
</tr>
<tr>
<td><a name="match" id="match"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#match"><strong>Nucleic match</strong></a>:<br>reward for a match in the BLAST portion of run [integer]</td>
<td align="center">default = 1</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">default = 1</td>
</tr>
<tr>
<td><a name="mismatch" id="mismatch"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#mismatch"><strong>Nucleic mismatch</strong></a>:<br>penalty for a mismatch in the blast portion of run [integer]</td>
<td align="center">default = -3</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">default = -3</td>
</tr>
<tr>
<td><strong><a name="expect" id="expect"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#expect">Expectation value</a></strong>:<br>(E) [real]</td>
<td align="center">default = 10.0</td>
<td align="center">default = 10.0</td>
<td align="center">default = 10.0</td>
<td align="center">default = 10.0</td>
<td align="center">default = 10.0</td>
<td align="center">default = 10.0</td>
</tr>
<tr>
<td><a name="word" id="word"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#word"><strong>Word size</strong></a>:<br>the size of the initial word that must be matched between the database and the query sequence</td>
<td align="center">default = 11</td>
<td align="center">default = 3</td>
<td align="center">default = 3</td>
<td align="center">default = 3</td>
<td align="center">default = 3</td>
<td align="center">default = 11</td>
</tr>
<tr>
<td><a name="descriptions" id="descriptions"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#descriptions"><strong>Max scores</strong></a>:<br>Number of one-line descriptions (V) [Integer]</td>
<td align="center">default = 25</td>
<td align="center">default = 25</td>
<td align="center">default = 25</td>
<td align="center">default = 25</td>
<td align="center">default = 25</td>
<td align="center">default = 25</td>
</tr>
<tr>
<td><strong><a name="alignments" id="alignments"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#alignments">Max alignments</a></strong>:<br>number of alignments to show (B) [integer]</td>
<td align="center">default = 15</td>
<td align="center">default = 15</td>
<td align="center">default = 15</td>
<td align="center">default = 15</td>
<td align="center">default = 15</td>
<td align="center">default = 15</td>
</tr>
<tr>
<td><strong>Query filter</strong>:<br>filter applied to the query sequence</td>
<td align="center">default = DUST</td>
<td align="center">default = SEG</td>
<td align="center">default = SEG</td>
<td align="center">default = SEG</td>
<td align="center">default = SEG</td>
<td align="center">default = DUST</td>
</tr>
<tr>
<td><strong><a name="gencodes" id="gencodes"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#gencodes">Query genetic code</a></strong>:<br>genetic code to be used in BLASTX translation of the query</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">default = universal</td>
<td align="center">default = universal</td>
<td align="center">default = universal</td>
<td align="center">n/a</td>
</tr>
<tr>
<td><strong><a name="matrix" id="matrix"></a><a href="http://twod.med.harvard.edu/seqanal/matrices.html">Matrix</a></strong>:<br>substitution matrix to be used for amino acid comparisons</td>
<td align="center">no default</td>
<td align="center">default = blosum62</td>
<td align="center">default = blosum62</td>
<td align="center">default = blosum62</td>
<td align="center">default = blosum62</td>
<td align="center">no default</td>
</tr>
</tbody>
</table>
<p>Supported and Suggested&nbsp;Values&nbsp;for Gap Open and Extension in BLASTP, BLASTX, TBLASTN, and TBLASTX</p>
<table border="1">
<tbody>
<tr><th>Gaps Open</th><th>Gap Extension</th></tr>
<tr>
<td align="center">10</td>
<td align="center">1</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">2</td>
</tr>
<tr>
<td align="center">11</td>
<td align="center">1</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">2</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">2</td>
</tr>
</tbody>
</table><p>Address of the bookmark: <a href="https://www.arabidopsis.org/Blast/BLASToptions.jsp" rel="nofollow">https://www.arabidopsis.org/Blast/BLASToptions.jsp</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/44370/ncbiblast-2141-now-available</guid>
	<pubDate>Wed, 30 Aug 2023 02:36:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/44370/ncbiblast-2141-now-available</link>
	<title><![CDATA[NCBIBLAST+ 2.14.1 now available]]></title>
	<description><![CDATA[<p><a href="https://www.linkedin.com/feed/hashtag/?keywords=ncbiblast&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7101231946264924160">#NCBIBLAST</a><span>+ 2.14.1 now available with improved documentation, faster and more reliable database downloads, and some bug fixes.&nbsp;</span></p><p>Check out the changes they made.</p><p>They added the&nbsp;<code><span>cleanup-blastdb-volumes.py</span></code>&nbsp;script to remove unused BLAST database volumes. Read the documentation&nbsp;<a href="https://www.ncbi.nlm.nih.gov/books/NBK592857/">here</a>.</p><p>They also switched the protocol from&nbsp;<code><span>ftp</span></code>&nbsp;to&nbsp;<code><span>https</span></code>&nbsp;to access BLAST databases for increased performance and reliability when downloading data from the NCBI with the&nbsp;<code><span>update_blastdb.pl</span></code>&nbsp;script.</p><p>And fixed a few bugs related to downloading data from the NCBI, and&nbsp;<code><span>mt_mode</span></code>&nbsp;crashing&nbsp;<code><span>blastn</span></code>&nbsp;and&nbsp;<code><span>blastx</span></code>.</p><p>Check out the&nbsp;<a href="https://www.ncbi.nlm.nih.gov/books/NBK131777/">release notes</a>.</p><p>Download&nbsp;<a href="https://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/2.14.1/">BLAST+ 2.14.1</a></p><p>Questions or comments? Please write the&nbsp;<a href="https://support.nlm.nih.gov/support/create-case/">BLAST help desk</a>.</p><p><span><span>More info and download:</span>&nbsp;https://blast.ncbi.nlm.nih.gov/doc/blast-news/2023-BLAST-News.html</span></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44709/a-step-by-step-guide-to-running-blast-offline</guid>
	<pubDate>Sat, 07 Dec 2024 22:32:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44709/a-step-by-step-guide-to-running-blast-offline</link>
	<title><![CDATA[A Step-by-Step Guide to Running BLAST Offline]]></title>
	<description><![CDATA[<p>BLAST (Basic Local Alignment Search Tool) is a powerful algorithm used to compare nucleotide or protein sequences to sequence databases, identifying regions of similarity. Running BLAST offline provides more control, ensures data security, and allows customization for specific research needs. Here&rsquo;s a detailed guide to set up and run BLAST locally on your system.</p><hr><h3>Step 1: <strong>Install BLAST</strong></h3><ol>
<li>
<p><strong>Download BLAST</strong>:</p>
<ul>
<li>Visit the <a href="https://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/LATEST/">NCBI BLAST+ download page</a> to download the appropriate version for your operating system (Windows, macOS, or Linux).</li>
</ul>
</li>
<li>
<p><strong>Install BLAST</strong>:</p>
<ul>
<li>Extract the downloaded archive. For Linux/Mac, use:
<pre><code>tar -xvzf ncbi-blast-*.tar.gz
cd ncbi-blast-*
</code></pre>
</li>
<li>Add the BLAST binary folder to your system PATH for easier access:
<pre><code>export PATH=$PATH:/path/to/ncbi-blast-*/bin
</code></pre>
</li>
</ul>
</li>
<li>
<p><strong>Verify Installation</strong>:<br /> Run the following command to ensure BLAST is installed correctly:</p>
<pre><code>blastn -version
</code></pre>
</li>
</ol><hr><h3>Step 2: <strong>Prepare a Local Database</strong></h3><p>To run BLAST offline, you&rsquo;ll need a sequence database.</p><ol>
<li>
<p><strong>Download a Pre-Built Database (Optional)</strong>:</p>
<ul>
<li>NCBI provides ready-to-use databases such as <code>nt</code>, <code>nr</code>, and <code>Swiss-Prot</code>. Use the <code>update_blastdb.pl</code> script (bundled with BLAST) to download these:
<pre><code>update_blastdb.pl --decompress nt
</code></pre>
</li>
</ul>
</li>
<li>
<p><strong>Create a Custom Database</strong>:<br /> If you have specific sequences to use as a database:</p>
<ul>
<li>Prepare a FASTA file containing the sequences.</li>
<li>Use <code>makeblastdb</code> to create a database:
<pre><code>makeblastdb -in your_sequences.fasta -dbtype [nucl|prot] -out custom_db
</code></pre>
Replace <code>[nucl|prot]</code> with <code>nucl</code> for nucleotide sequences or <code>prot</code> for protein sequences.</li>
</ul>
</li>
</ol><hr><h3>Step 3: <strong>Prepare the Query Sequence</strong></h3><ul>
<li>Save your query sequence(s) in FASTA format.</li>
<li>Ensure the file is properly formatted, with a header line starting with <code>&gt;</code> followed by the sequence name, and the sequence on subsequent lines.</li>
</ul><p>Example:</p><pre><code>&gt;query_sequence
ATGCGTAGCTAGCGTAGCTAGCTAGCTA
</code></pre><hr><h3>Step 4: <strong>Run BLAST</strong></h3><ol>
<li>
<p><strong>Choose the Appropriate BLAST Tool</strong>:<br /> Depending on your data type:</p>
<ul>
<li><strong>blastn</strong>: For nucleotide-nucleotide searches.</li>
<li><strong>blastp</strong>: For protein-protein searches.</li>
<li><strong>blastx</strong>: Translates nucleotide sequences into proteins and compares them to a protein database.</li>
<li><strong>tblastn</strong>: Compares protein sequences to a nucleotide database.</li>
<li><strong>tblastx</strong>: Translates both nucleotide query and database sequences.</li>
</ul>
</li>
<li>
<p><strong>Run the Command</strong>:<br /> Example command for <code>blastn</code>:</p>
<pre><code>blastn -query query.fasta -db custom_db -out results.txt -outfmt 6 -evalue 1e-5
</code></pre>
<p><strong>Explanation of Parameters</strong>:</p>
<ul>
<li><code>-query</code>: Specifies the query file.</li>
<li><code>-db</code>: Points to the local database.</li>
<li><code>-out</code>: Output file name.</li>
<li><code>-outfmt</code>: Output format (e.g., 6 for tabular format).</li>
<li><code>-evalue</code>: E-value cutoff for significance.</li>
</ul>
</li>
</ol><hr><h3>Step 5: <strong>Interpret Results</strong></h3><ol>
<li>
<p><strong>Output Formats</strong>:</p>
<ul>
<li><strong>Default (outfmt 0)</strong>: Human-readable format.</li>
<li><strong>Tabular (outfmt 6)</strong>: Includes fields like query ID, subject ID, percent identity, alignment length, etc.</li>
</ul>
</li>
<li>
<p><strong>Analyze Results</strong>:<br /> Use tools like <code>grep</code>, Python, or R to parse and filter results for downstream analysis.</p>
</li>
</ol><hr><h3>Step 6: <strong>Optimize Performance</strong></h3><p>For large datasets, BLAST can be resource-intensive. To improve performance:</p><ol>
<li>
<p><strong>Multithreading</strong>:<br /> Use the <code>-num_threads</code> option to leverage multiple CPU cores:</p>
<pre><code>blastn -query query.fasta -db custom_db -out results.txt -num_threads 4
</code></pre>
</li>
<li>
<p><strong>Database Subsetting</strong>:<br /> Split large databases into smaller chunks for faster searches.</p>
</li>
<li>
<p><strong>Adjust Parameters</strong>:</p>
<ul>
<li>Lower the <code>-evalue</code> threshold for stricter matches.</li>
<li>Use <code>-max_target_seqs</code> to limit the number of results per query.</li>
</ul>
</li>
</ol><hr><h3>Step 7: <strong>Update Databases (Optional)</strong></h3><p>If using NCBI databases, regularly update them to ensure the inclusion of the latest sequences:</p><pre><code>update_blastdb.pl --decompress nt
</code></pre><hr><h3>Conclusion</h3><p>Running BLAST offline is a straightforward process that offers flexibility and security for bioinformaticians working with sensitive data. By following this guide, you can harness the power of BLAST to analyze sequences efficiently and gain valuable biological insights.</p><p>For advanced use cases, explore BLAST&rsquo;s customization options, such as custom scoring matrices, filtering, and iterative searches with tools like PSI-BLAST. Happy BLASTing!</p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/11592/xampp-starting-apache-fail-ubuntu</guid>
	<pubDate>Sat, 07 Jun 2014 05:52:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/11592/xampp-starting-apache-fail-ubuntu</link>
	<title><![CDATA[XAMPP: Starting Apache fail Ubuntu]]></title>
	<description><![CDATA[<p>Once you install XAMMP on linux, the most common problem you face is Apache failure. To fix the issues please use following command to first stop and then again start it.</p><p>sudo /etc/init.d/apache2 stop</p><p>sudo /etc/init.d/mysql stop</p><p>sudo /etc/init.d/proftpd stop</p><p>sudo /opt/lampp/lampp start</p><p>&nbsp;</p><p><strong>PhpMyAdmin &ldquo;Wrong permissions on configuration file, should not be world writable!&rdquo;</strong></p><p>Once the Xammp is installed, it might be possible to set up the configuration file in writable mode. Try the following steps:</p><p>Just chmod 0755 the file</p><pre>sudo chmod 0755 config.inc.php</pre>]]></description>
	<dc:creator>Ram Yash Pal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28269/4dgenome</guid>
	<pubDate>Mon, 04 Jul 2016 00:44:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28269/4dgenome</link>
	<title><![CDATA[4DGenome]]></title>
	<description><![CDATA[<p><span>Records in 4DGenome are compiled through comprehensive literature curation of experimentally-derived and computationally-predicted interactions. The current release contains 4,433,071 experimentally-derived and 3,605,176 computationally-predicted interactions in 5 organisms. Experimental data cover both high throughput datasets and individiual focused studies.&nbsp;</span><br><br><span>All interaction data are freely available in a standardized file format. Records can be queried by genomic regions, gene names, organism, and detection technology.&nbsp;</span></p><p>Address of the bookmark: <a href="http://4dgenome.research.chop.edu/" rel="nofollow">http://4dgenome.research.chop.edu/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38556/reactome-pathway-database</guid>
	<pubDate>Mon, 31 Dec 2018 02:41:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38556/reactome-pathway-database</link>
	<title><![CDATA[Reactome Pathway Database]]></title>
	<description><![CDATA[<p><span>REACTOME is an open-source, open access, manually curated and peer-reviewed pathway database. Our goal is to provide intuitive bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge to support basic and clinical research, genome analysis, modeling, systems biology and education. Founded in 2003, the Reactome project is led by Lincoln Stein of&nbsp;</span><a href="http://oicr.on.ca/">OICR</a><span>, Peter D&rsquo;Eustachio of&nbsp;</span><a href="http://nyulangone.org/">NYULMC</a><span>, Henning Hermjakob of&nbsp;</span><a href="http://www.ebi.ac.uk/">EMBL-EBI</a><span>, and Guanming Wu of&nbsp;</span><a href="http://www.ohsu.edu/">OHSU</a><span>.</span></p><p>Address of the bookmark: <a href="https://reactome.org/" rel="nofollow">https://reactome.org/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/2261/best-book-titles-for-learning-bionformatics</guid>
	<pubDate>Tue, 13 Aug 2013 17:31:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/2261/best-book-titles-for-learning-bionformatics</link>
	<title><![CDATA[Best book Titles for Learning Bionformatics]]></title>
	<description><![CDATA[<p>Nothing can add to our intellect more than reading a book. &nbsp;In books, we can experience new things that we would not normally be able to experience. It is proved that books can change our lives and other people&rsquo;s lives. Reading can make us more intelligent, updated, imaginative. Without reading we wouldn&rsquo;t know anything that we know today. There are several book, online and offile to read and I can't mentioned all of them here in the list. Therefore, I mentioned some bioinformatics and its related books in subgroups. Hope you will like the list.&nbsp;</p><p>Sequence Analysis and General Bioinformatics</p><ul>
<li>BLAST, Ian Korf, Mark Yandell, Joseph Bedell, 2003, O'Reilly</li>
<li>Sequence Analysis in a Nutshell: A Guide to Common Tools and Databases, Scott Markel, Darryl Leon, 2003, O'Reilly</li>
<li>Bioinformatics for Geneticists, Michael Barnes, Ian C Gray (Editors), 2003, John Wiley &amp; Sons</li>
<li>Bioinformatics for Dummies, Jean-Michel Claverie, Cedric Notredame, 2003, John Wiley &amp; Sons</li>
<li>Mathematics of Genome Analysis, Jerome K. Percus, 2002, Cambridge Univ Press</li>
<li>Bioinformatics Computing, Bryan P. Bergeron, 2002, Prentice Hall</li>
<li>Evolutionary Computation in Bioinformatics, Gary B. Fogel, David W. Corne (Editors), 2002, Morgan Kaufmann</li>
<li>Introduction to Bioinformatics, Arthur M. Lesk, 2002, Oxford University Press</li>
<li>Instant Notes in Bioinformatics, D.R. Westhead, J. H. Parish, R.M. Twyman, 2002, Bios Scientific Pub</li>
<li>Fundamental Concepts of Bioinformatics, Dan E. Krane, Michael L. Raymer, Michaeel L. Raymer, Elaine Nicpon Marieb, 2002, Benjamin/Cummings</li>
<li>Essentials of Genomics and Bioinformatics, C. W. Sensen (Editor), 2002, John Wiley &amp; Sons</li>
<li>Current Topics in Computational Molecular Biology (Computational Molecular Biology), Tao Jiang, Ying Xu, Michael Zhang (Editors), 2002, MIT Press</li>
<li>Hidden Markov Models for Bioinformatics, Timo Koski, Timo Koskinen, 2001, Kluwer Academic Publishers</li>
<li>Bioinformatics: From Genomes to Drugs, Thomas Lengauer (Editor), 2001, John Wiley &amp; Sons</li>
<li>Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health), Warren Ewens, Gregory Grant, 2001, Springer Verlag</li>
<li>Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Second Edition, Andreas D. Baxevanis, B. F. Francis Ouellette, 2001, Wiley-Interscience</li>
<li>Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning), Pierre Baldi, Soren Brunak, Sren Brunak, 2001, MIT Press</li>
<li>Introduction to Bioinformatics, T eresa Attwood, David Parry-Smith, 2001, Prentice Hall</li>
<li>Bioinformatics: A Primer, Charles Staben, 2001, Jones &amp; Bartlett Pub</li>
<li>Data Analysis and Classification for Bioinformatics, Arun Jagota, 2000, AKJ Academics</li>
<li>Bioinformatics: Sequence and Genome Analysis, David W. Mount, 2001, Cold Spring Harbor Laboratory Press</li>
<li>Bioinformatics: A Biologist's Guide to Biocomputing and the Internet, Stuart M. Brown, 2000, Eaton Pub Co</li>
<li>Bioinformatics: Sequence, Structure and Databanks: A Practical Approach (The Practical Approach Series, 236), Des Higgins (Editor), Willie Taylor (Editor), 2000, Oxford Univ Press</li>
<li>Neural Networks and Genome Informatics, Cathy H. Wu, Jerry W. McLarty, 2000, Elsevier Science</li>
<li>Computational Molecular Biology: An Introduction (Wiley Series in Mathematical and Computational Biology), Peter Clote and Rolf Backofen, 2000, John Wiley &amp; Sons</li>
<li>Computational Molecular Biology: An Algorithmic Approach, Pavel A. Pevzner, 2000, MIT Press</li>
<li>Post-Genome Informatics, Minoru Kanehisa, 2000, Oxford Univ Press</li>
<li>Mathematical and Computational Biology: Computational Morphogenesis, Hierarchical Complexity, and Digital Evolution, Chrystopher L. Nehaniv, 1999, American Mathematical Society</li>
<li>Pattern Discovery in Biomolecular Data: Tools, Techniques, and Applications, Jason T. L. Wang, Bruce A. Shapiro, Dennis Elliott Shasha (Editors), 1999, Oxford Univ Press</li>
<li>Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison, David Sankoff and Joseph Kruskal (Editors), 1999, Cambridge University Press</li>
<li>Bioinformatics Basics: Applications in Biological Science and Medicine, Hooman Rashidi, 1999, CRC Press</li>
<li>Bioinformatics: Methods and Protocols (Methods in Molecular Biology, Vol 132), Stephen Misener and Stephen A. Krawetz (Editors),1999, Humana Press</li>
<li>Bioinformatics: Databases and Systems, Stanley Letovsky (Editor),1999, Kluwer Academic Publishers</li>
<li>Computational Molecular Biology, P. Green, 1998, Blackwell Science Inc.</li>
<li>Computational Methods in Molecular Biology (New Comprehensive Biochemistry, V. 32), Steven L. Salzberg, David B. Searls, Simon Kasif (Editors), 1998, Elsevier Science Ltd.</li>
<li>Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids, Richard Durbin, S. Eddy, A. Krogh, G. Mitchison, 1998, Cambridge University Press</li>
<li>Guide to Human Genome Computing, M. J. Bishop (Editor), 1998, Academic Press</li>
<li>Introduction to Computational Molecular Biology, Joao Meidanis, Joao C. Setabal, 1997, PWS Pub. Co.</li>
<li>Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology, Dan Gusfield, 1997, Cambridge University Press</li>
<li>Sequence Data Analysis Guidebook, Simon R. Swindell (Editor), 1997, Humana Press</li>
<li>High Performance Computational Methods for Biological Sequence Analysis, Tieng K. Yap, Ophir Frieder, Robert L. Martino, 1996, Kluwer Academic Pub.</li>
<li>Computer Methods for Macromolecular Sequence Analysis, Methods in Enzymology, volume 266, Russell F. Doolittle (Editor), 1996, Academic Press</li>
<li>DNA and Protein Sequence Analysis: A Practical Approach (Practical Approach Series , No 171), 1996, M. J. Bishop and C. J. Rawlings (Editors), 1996, IRL Press</li>
<li>Molecular Bioinformatics: Algorithms and Applications, Steffen Schulze-Kremer, 1995, Walter De Gruyter</li>
<li>Introduction to Computational Biology - Maps, sequences and genomes, Michael S. Waterman, 1995, Chapman &amp; Hall</li>
<li>Computer Analysis of Sequence Data, Annette M. Griffin and Hugh G. Griffin (Editors), 1994, Humana Press</li>
<li>Artificial Intelligence and Molecular Biology, Lawrence Hunter (Editor), 1993, AAAI Press</li>
<li>Sequence Analysis Primer, Michael Gribskov and John Devereux (Editors), 1992, Oxford University Press</li>
<li>Mathematical Methods of Analysis of Biopolymer Sequences (Dimacs Series in Discrete Mathematics and Theoretical Computer Science ; Volume 8), S. G. Gindikin, 1992, American Mathematical Society</li>
<li>Mathematical Methods for DNA Sequences, Michael S. Waterman (Editor), 1989, CRC Press</li>
</ul><p>Programming Books for Bioinformatics</p><ul>
<li>Mastering Perl for Bioinformatics, James D. Tisdall, 2003, O'Reilly</li>
<li>Genomic Perl: From Bioinformatics Basics to Working Code, Rex A. Dwyer, 2002, Cambridge University Press</li>
<li>Beginning Perl for Bioinformatics, James Tisdall, 2001, O'Reilly</li>
<li>Developing Bioinformatics Computer Skills, Cynthia Gibas, Per Jambeck, 2001, O'Reilly</li>
</ul><p>General Genomics</p><ul>
<li>Functional Microbial Genomics (Volume 33), Brendan Wren, Nick Dorrell, 2003, Academic Press</li>
<li>Discovering Genomics, Proteomics, and Bioinformatics, A. Malcolm Campbell, Laurie J. Heyer, 2002, Benjamin/Cummings</li>
<li>Genomes, Terence A. Brown, 2002, John Wiley &amp; Sons</li>
<li>Essentials of Medical Genomics, Stuart M. Brown , 2002, John Wiley &amp; Sons</li>
<li>A Primer of Genome Science, Greg Gibson, Spencer V. Muse, 2002, Sinauer Associates</li>
<li>Pathogen Genomics: Impact on Human Health, Karen Joy, Phd Shaw (Editors), 2002, Humana Press</li>
<li>Genomics, John E. Antonopoulos, 2000, Xlibris Corporation</li>
<li>Genomics and Proteomics: Functional and Computational Aspects, Sandor Suhai (Editor), 2000, Plenum Pub Corp</li>
<li>Functional Genomics: A Practical Approach (The Practical Approach Series, 235), S. Hunt and F. Livesey (Editors), 2000, Oxford Univ Press</li>
<li>Human Molecular Genetics, Andrew P. Read, Tom Strachan 1999, BIOS Scientific Publishers Ltd.</li>
<li>Genomics: The Science and Technology Behind the Human Genome Project, Charles R. Cantor and Cassandra L. Smith, 1999, John Wiley &amp; Sons</li>
<li>Cells: A Laboratory Manual, 3 volumes, David L. Spector, Robert D. Goldman, Leslie A. Leinwand, 1998, Cold Spring Harbor Laboratory Press</li>
<li>Genome Analysis: A Laboratory Manual, 4 volumes, Bruce Birren, et al. (Editors), 1997, Cold Spring Harbor Laboratory Press</li>
<li>The Human Genome Project, N. G. Cooper (Editor), 1994, University Science Books</li>
</ul><p>Comparative Genomics</p><ul>
<li>Handbook of Comparative Genomics: Principles and Methodology, Cecilia Saccone, Graziano Pesole, 2003, Wiley-Liss</li>
<li>Sequence - Evolution - Function: Computational Approaches in Comparative Genomics, Eugene V. Koonin, Michael Y. Galperin, 2002, Kluwer Academic Publishers</li>
<li>Comparative Genomics - Empirical and Analytical Approaches to Gene Order Dynamics, Map Alignment and the Evolution of Gene Families, David Sankoff and Joseph H. Nadeau, 2000, Kluwer Academic Pub</li>
<li>Comparative Genomics, Melody Clark (Editor), 2000, Kluwer Academic Pub</li>
</ul><p>Proteomics</p><ul>
<li>Proteins and Proteomics: A Laboratory Manual, Richard J. Simpson (Editor), Cold Spring Harbor Laboratory</li>
<li>Proteomics in Practice: A Laboratory Manual of Proteome Analysis , Reiner Westermeier, Tom Naven, 2002, John Wiley &amp; Sons</li>
<li>Posttranslational Modifications of Proteins: Tools for Functional Proteomics (Methods in Molecular Biology, Vol 194) , Christoph Kannicht (Editor), 2002, Humana Press</li>
<li>Peptide Arrays on Membrane Supports: Synthesis and Applications (Springer Lab Manual), Joachim Koch, Michael Mahler (Editors), 2002, Springer Verlag</li>
<li>Proteomics , Timothy Palzkill, 2002, Kluwer Academic Publishers</li>
<li>Introduction to Proteomics: Tools for the New Biology , Daniel C. Liebler (Editor), 2001, Humana Press</li>
<li>Proteome Research: Mass Spectrometry (Principles and Practice) , P. James (Editor), 2001, Springer Verlag</li>
<li>Interpreting Protein Mass Spectra: A Comprehensive Resource , A. Peter Snyder, 2000, American Chemical Society</li>
<li>Protein Sequencing and Identification Using Tandem Mass Spectrometry , Michael Kinter, Nicholas E. Sherman, 2000, Wiley-Interscience</li>
<li>From Genome to Proteome: Advances in the Practice and Application of Proteomics, Michael J. Dunn (Editor), 2000, Vch Verlagsgesellschaft Mbh</li>
<li>Proteomics: From Protein Sequence to Function, S. Pennington (Editor), M. Dunn (Editor), 2000, Springer Verlag</li>
<li>Proteome Research: Two-Dimensional Gel Electrophoresis and Detection Methods (Principles and Practice), T. Rabilloud (Editor), 2000, Springer Verlag</li>
<li>Proteome and Protein Analysis, R. M. Kamp, D. Kyriakidis, th Choli-Papadopoulou (Editor), 1999, Springer Verlag</li>
<li>Proteome Research: New Frontiers in Functional Genomics, M. R. Wilkins, et al. (Editors), 1997, Springer Verlag</li>
</ul><p>Protein Structure</p><ul>
<li>Structural Bioinformatics, Philip E. Bourne, Helge Weissig (Editors), 2003, John Wiley &amp; Sons</li>
<li>Protein Structure Prediction: Bioinfomatic Approach, I.F. Tsigelny, 2002, International University Line</li>
<li>Introduction to Protein Architecture: The Structural Biology of Proteins, Arthur M. Lesk, 2001, Oxford University Press</li>
<li>Protein Structure Prediction: Methods and Protocols, David M. Webster (Editor), 2000, Humana Press</li>
<li>Introduction to Protein Structure, Carl-Ivar Branden, John Tooze, 1999, Garland Publishing</li>
<li>Structure and Mechanism in Protein Science: A Guide to Enzyme Catalysis and Protein Folding, Alan Fersht, 1999, Freeman</li>
</ul><p>Pharmacogenomics</p><ul>
<li>Pharmacogenomics: Social, Ethical, and Clinical Dimensions, Mark A. Rothstein (Editor), 2003, Wiley-Liss</li>
<li>Pharmacogenomics: The Search for Individualized Therapies, Julio Licinio, Ma-Li Wong (Editors), 2002, John Wiley &amp; Sons</li>
<li>Pharmacogenomics, Werner Kalow, Urs A. Meyer, Rachel Tyndale (Editors), 2001, Marcel Dekker</li>
<li>Pharmacogenetics and Pharmcogenomics: Recent Conceptual and Technical Advances (Pharmacology, Volume 61, Number 3, 2000), Elliot S. Vesell (Editor), 2000, S. Karger Publishing</li>
<li>Pharmacogenetics, Wendell Weber, 1997, Oxford University Press</li>
</ul><p>DNA Microarrays</p><ul>
<li>Statistical Analysis of Gene Expression Microarray Data, T. P. Speed (Editor), 2003, CRC Press</li>
<li>Microarray Gene Expression Data Analysis: A Beginner's Guide, Helen C. Causton, John Quackenbush, Alvis Brazma, 2003, Blackwell Publishers</li>
<li>The Analysis of Gene Expression Data (Statistics for Biology and Health), G. Parmigiani, E. S. Garrett, R. A. Irizarry, S. Zeger , Graeme Clark (Editors), 2003, Springer Verlag</li>
<li>A Practical Approach to Microarray Data Analysis, Daniel P. Berrar, Werner Dubitzky, Martin Granzow (Editors), 2002, Kluwer Academic Publishers</li>
<li>DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling, Pierre Baldi, G. Wesley Hatfield, 2002, Cambridge University Press</li>
<li>DNA Microarrays: A Molecular Cloning Manual, David Bowtell, Joseph Sambrook (Editors), 2002, Cold Spring Harbor Laboratory</li>
<li>DNA Array Image Analysis: Nuts &amp; Bolts, Gerda Kamberova, Shishir Shah, 2002, DNA Press</li>
<li>Microarray Analysis, Mark Schena, 2002, John Wiley &amp; Sons</li>
<li>A Biologist's Guide to Analysis of DNA Microarray Data, Steen Knudsen, 2002, John Wiley &amp; Sons</li>
<li>Microarrays for an Integrative Genomics (Computational Molecular Biology), Isaac S. Kohane, Alvin Kho, Atul J. Butte, 2002, MIT Press</li>
<li>Microarrays for the Neurosciences: An Essential Guide (Cellular and Molecular Neuroscience), Daniel H. Geschwind, Jeffrey P. Gregg (Editors), 2002, MIT Press</li>
<li>DNA Microarrays: Gene Expression Applications, Bertrand Jordan (Editor), 2001, Springer Verlag</li>
<li>DNA Arrays: Methods and Protocols (Methods in Molecular Biology, Volume 170), Jang B. Rampal (Editor), 2001, Humana Press</li>
<li>DNA Arrays: Technologies and Experimental Strategies, Elena V. Grigorenko (Editor), 2001, CRC Press</li>
<li>Microarray Biochip Technology, Mark Schena (Editor), 2000, Eaton Pub</li>
<li>Expression Genetics: Accelerated and High-Throughput Methods (Biotechniques Update Series), Michael McClelland (Editor), Arthur B. Pardee (Editor), 1999, Eaton Pub</li>
<li>DNA Microarrays: A Practical Approach (Practical Approach Series 205), Mark Schena (Editor), 1999, Oxford Univ Press</li>
<li>cDNA Preparation and Characterization (Methods in Enzymology Volume 303), S.M. Weissman (Editor), 1999, Academic Press</li>
</ul><p>Systems Biology, Genetic and Biochemical Network</p><ul>
<li>Handbook of Graphs and Networks : From the Genome to the Internet, Stefan Bornholdt, Heinz Georg Schuster (Editors), 2003, Vch Verlagsgesellschaft Mbh</li>
<li>Computational Cell Biology, Christopher Fall, Eric Marland, John Wagner, John Tyson (Editors), 2002, Springer Verlag</li>
<li>Gene Regulation and Metabolism: Post-Genomic Computational Approaches (Computational Molecular Biology), Julio Collado-Vides, Ralf Hofestadt (Editors), 2002, MIT Press</li>
<li>Foundations of Systems Biology, Hiroaki Kitano (Editor), 2001, MIT Press</li>
<li>Genomic Regulatory Systems: Development and Evolution, Eric H. Davidson , 2001, Academic Press</li>
<li>Genes &amp; Signals, Mark Ptashne, Alexander Gann, 2001, Cold Spring Harbor Laboratory</li>
<li>Computational Modeling of Genetic and Biochemical Networks (Computational Molecular Biology), James M. Bower and Hamid Bolouri (Editors), 2001, MIT Press</li>
<li>Protein-Protein Interactions: A Molecular Cloning Manual, Erica Golemis (Editor), 2001, Cold Spring Harbor Laboratory</li>
<li>Computational Analysis of Biochemical Systems: A Practical Guide for Biochemists and Molecular Biologists, Eberhard O. Voit, 2000, Cambridge University Press</li>
<li>Mathematical Physiology, James P. Keener, James Sneyd, 1998, Springer Verlag</li>
</ul><p>&nbsp;</p><p>DNA Sequencing</p><ul>
<li>DNA Sequencing: From Experimental Methods to Bioinformatics (Introduction to Biotechniques Series), Luke Alphey, 1997, Springer Verlag</li>
<li>Automated DNA sequencing and analysis, Adams M.D., Fields C., Venter J.C. (Editors), 1994, Academic Press</li>
</ul><p>&nbsp;</p><p>Apart from above mentioned books, you can also find some useful books links at following mentioned URLs:</p><p>&nbsp;</p><p><a href="http://www.amazon.com/Biological-Sequence-Analysis-Probabilistic-Proteins/dp/0521629713">http://www.amazon.com/Biological-Sequence-Analysis-Probabilistic-Proteins/dp/0521629713</a></p><p><a href="http://www.amazon.com/Bioinformatics-Genes-Proteins-Computers-Advanced/dp/1859960545">http://www.amazon.com/Bioinformatics-Genes-Proteins-Computers-Advanced/dp/1859960545</a></p><p><a href="http://www.amazon.com/Introduction-Bioinformatics-Algorithms-Computational-Molecular/dp/0262101068">http://www.amazon.com/Introduction-Bioinformatics-Algorithms-Computational-Molecular/dp/0262101068</a></p><p><a href="http://books.google.no/books?id=pxSM7R1sdeQC&amp;dq=Pierre+baldi+%2B+bioinformatics&amp;printsec=frontcover&amp;source=bn&amp;hl=en&amp;ei=IoGRS6uCIJT-NYLA8Z0N&amp;sa=X&amp;oi=book_result&amp;ct=result&amp;redir_esc=y#v=onepage&amp;q&amp;f=false">http://books.google.no/books?id=pxSM7R1sdeQC&amp;dq=Pierre+baldi+%2B+bioinformatics&amp;printsec=frontcover&amp;source=bn&amp;hl=en&amp;ei=IoGRS6uCIJT-NYLA8Z0N&amp;sa=X&amp;oi=book_result&amp;ct=result&amp;redir_esc=y#v=onepage&amp;q&amp;f=false</a></p><p><a href="http://www.amazon.com/Statistical-Methods-Bioinformatics-Introduction-Statistics/dp/0387400826">http://www.amazon.com/Statistical-Methods-Bioinformatics-Introduction-Statistics/dp/0387400826</a></p><p>&nbsp;</p><p>If you think your favourite books are not listed then please write it down in comment section for the benefits of other users.&nbsp;Feel free to add many more books in comment section.&nbsp;</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35294/httdb-horizontally-transferred-transposable-elements-database</guid>
	<pubDate>Tue, 23 Jan 2018 12:07:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35294/httdb-horizontally-transferred-transposable-elements-database</link>
	<title><![CDATA[HTTDB - Horizontally transferred transposable elements database]]></title>
	<description><![CDATA[<p><span>Transposons or Transposable elements (TEs) are "mobile genes" capable of mobilization from one genomic location to another through non-homologous recombination. As this movement is mediated by its own proteins and does not contribute to the survival of the host that it inhabits, they are known as selfish genomic parasites. Despite their capacity for transposition inside genomes, they can frequently transpose the species boundaries and consequently migrate from one species to another. Such phenomenon is called Horizontal Transposons Transfer. HTT was first discovered by Daniels et al. (1984) when analysing a&nbsp;</span><em>P</em><span>&nbsp;element that was transferred from&nbsp;</span><em>Drosophila willistoni</em><span>&nbsp;to&nbsp;</span><em>D. melanogaster</em><span>. Since then, many more cases have been documented in the literature. Moreover, in the last years, such discoveries have been boosted by the unprecedented amount of new genomes available. Despite the recognition of HTT as a common phenomenon in recent years, it is still difficult to draw major conclusions about HTT patterns, such as where in the tree of life these cases are more frequently found. This is mainly due to the historical bias and lack of studies in many taxa. To date, there has been no easy way to visualise each TE or host species, and should be further analysed in order to provide a more comprehensive view of such phenomena. Based on these concerns, we developed the HTT database to keep an updated repository of HTT events in all eukaryotes, allowing not only TE specialists to add new events and search the database, but also non-specialists. Moreover, we expanded the database to include Horizontal-Virus Transfer also known as endogenization events which is characterized by the stable integration a viral genomic fragment into the host genome.</span></p>
<p><span>https://www.ncbi.nlm.nih.gov/pubmed/29315358</span></p><p>Address of the bookmark: <a href="http://lpa.saogabriel.unipampa.edu.br:8080/httdatabase/" rel="nofollow">http://lpa.saogabriel.unipampa.edu.br:8080/httdatabase/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</guid>
	<pubDate>Thu, 13 Feb 2020 00:20:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</link>
	<title><![CDATA[genomics public data links !]]></title>
	<description><![CDATA[<p>List of publically available databases on google server.</p>
<p>More at <a href="https://software.broadinstitute.org/gatk/download/bundle">https://software.broadinstitute.org/gatk/download/bundle</a></p>
<p><a href="ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/">ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/</a>.</p>
<p><a href="ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/">ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/</a></p><p>Address of the bookmark: <a href="https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1" rel="nofollow">https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43319/k-mers-tutorial-classification-and-taxonomy</guid>
	<pubDate>Thu, 26 Aug 2021 10:28:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43319/k-mers-tutorial-classification-and-taxonomy</link>
	<title><![CDATA[k-mers tutorial - classification and taxonomy]]></title>
	<description><![CDATA[<p>DNA k-mers underlie much of our assembly work, and we (along with many others!) have spent a lot of time thinking about how to&nbsp;<a href="http://www.pnas.org/content/109/33/13272">store k-mer graphs efficiently</a>,&nbsp;<a href="http://ivory.idyll.org/blog/what-is-diginorm.html">discard redundant data</a>, and&nbsp;<a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0101271">count them efficiently</a>.</p>
<p>More recently, we've been enthused about&nbsp;<a href="http://joss.theoj.org/papers/3d793c6e7db683bee7c03377a4a7f3c9">using k-mer based similarity measures</a>&nbsp;and&nbsp;<a href="http://ivory.idyll.org/blog/2016-sourmash-sbt.html">computing and searching k-mer-based sketch search databases for all the things</a>.</p>
<p>But I haven't spent too much talking about using k-mers for taxonomy, although that has become an&nbsp;<em>ahem</em>&nbsp;area of interest recently,&nbsp;<a href="http://www.biorxiv.org/content/early/2017/07/03/155358">if you read into our papers a bit</a>.</p>
<p>In this blog post I'm going to fix this by doing a little bit of a literature review and waxing enthusiastic about other people's work. Then in a future blog post I'll talk about how we're building off of this work in fun! and interesting? ways!</p><p>Address of the bookmark: <a href="http://ivory.idyll.org/blog/2017-something-about-kmers.html" rel="nofollow">http://ivory.idyll.org/blog/2017-something-about-kmers.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

</channel>
</rss>