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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27113?offset=260</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/27311/release-notes-for-genome-workbench-2105</guid>
	<pubDate>Thu, 12 May 2016 13:49:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/27311/release-notes-for-genome-workbench-2105</link>
	<title><![CDATA[Release Notes for Genome Workbench 2.10.5]]></title>
	<description><![CDATA[<p>New Features in latest release</p><ul>
<li>New ProSplign tool integrated with Genome Workbench (<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial13">Tutorial</a>,&nbsp;<a href="https://www.youtube.com/watch?v=V9UqKJprzAg&amp;feature=youtu.be" target="_blank">Video</a>)</li>
<li>New export function for BAM/cSRA coverage graphs (<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial14">Tutorial</a>)</li>
<li>New export function for alignments GFF3 format ((<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial15">Tutorial</a>))</li>
<li>Tree View: implemented new export mode based on selections (tutorial coming)</li>
<li>Tree View: added support for&nbsp;<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial3/#distance_based_circular_trees">distance based circular trees</a></li>
<li>Tree View: new rooting mode (Midpoint Root) results in more balanced trees (<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial3#reroot_tree">Tutorial</a>)</li>
<li>Tree View: added possibility to right-click on an edge between two nodes and "Place Root at Middle of Branch" &ndash; to re-root at mid-branch (<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial3#reroot_tree">Tutorial</a>)</li>
</ul>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27323/cutadapt</guid>
	<pubDate>Fri, 13 May 2016 04:54:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27323/cutadapt</link>
	<title><![CDATA[cutadapt]]></title>
	<description><![CDATA[<p>Cutadapt finds and removes adapter sequences, primers, poly-A tails and other types of unwanted sequence from your high-throughput sequencing reads.</p>
<p>Cleaning your data in this way is often required: Reads from small-RNA sequencing contain the 3&rsquo; sequencing adapter because the read is longer than the molecule that is sequenced. Amplicon reads start with a primer sequence. Poly-A tails are useful for pulling out RNA from your sample, but often you don&rsquo;t want them to be in your reads.</p>
<p>Cutadapt helps with these trimming tasks by finding the adapter or primer sequences in an error-tolerant way. It can also modify and filter reads in various ways. Adapter sequences can contain IUPAC wildcard characters. Also, paired-end reads and even colorspace data is supported. If you want, you can also just demultiplex your input data, without removing adapter sequences at all.</p>
<p>Cutadapt comes with an extensive suite of automated tests and is available under the terms of the MIT license.</p>
<p>If you use cutadapt, please cite <a href="http://dx.doi.org/10.14806/ej.17.1.200">DOI:10.14806/ej.17.1.200</a> .</p><p>Address of the bookmark: <a href="https://cutadapt.readthedocs.io/en/stable/installation.html#quickstart" rel="nofollow">https://cutadapt.readthedocs.io/en/stable/installation.html#quickstart</a></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/27459/tools-for-searching-repeats-and-palindromic-sequences</guid>
	<pubDate>Sat, 21 May 2016 22:32:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/27459/tools-for-searching-repeats-and-palindromic-sequences</link>
	<title><![CDATA[Tools for Searching Repeats And Palindromic Sequences]]></title>
	<description><![CDATA[<p>What are genomic interspersed repeats?</p><p>In the mid 1960's scientists discovered that many genomes contain stretches of highly repetitive DNA sequences ( see Reassociation Kinetics Experiments, and C-Value Paradox ). These sequences were later characterized and placed into five categories:</p><p><strong>Simple Repeats</strong> - Duplications of simple sets of DNA bases (typically 1-5bp) such as A, CA, CGG etc.<br /><strong>Tandem Repeats</strong> - Typically found at the centromeres and telomeres of chromosomes these are duplications of more complex 100-200 base sequences.<br /><strong>Segmental Duplications</strong> - Large blocks of 10-300 kilobases which are that have been copied to another region of the genome.<br /><strong>Interspersed Repeats</strong><br />Processed Pseudogenes, Retrotranscripts, SINES - Non-functional copies of RNA genes which have been reintegrated into the genome with the assitance of a reverse transcriptase.<br />DNA Transposons<br />Retrovirus Retrotransposons<br />Non-Retrovirus Retrotransposons ( LINES )</p><p>Currently up to 50% of the human genome is repetitive in nature and as improvements are made in detection methods this number is expected to increase.</p><p>On the other hand; In genetics, the term palindrome refers to a sequence of nucleotides along a DNA (deoxyribonucleic acid) or RNA (ribonucleic acid) strand that contains the same series of nitrogenous bases regardless from which direction the strand is analyzed. Akin to a language palindrome&mdash;wherein a word or phrase is spelled the same left-to-right as right-to-left (e.g., the word RADAR or the phrase "able was I ere I saw elba")&mdash;with genetic palindromes it does not matter whether the nucleic acid strand is read starting from the 3' (three prime) end or the 5' (five prime) end of the strand.</p><p>Recent research on palindromes centers on understanding palindrome formation during gene amplification. Other studies have attempted to relate palindrome formation to molecular mechanisms involved in double stranded breaks and in the formation of inverted repeats. Assisted by high speed computers, other groups of scientists link palindrome formation to the conservation of genetic information.</p><p>Related to the direction of transcription by RNA polymerase, DNA strands have upstream and downstream terminus defined by differing chemical groups at each end. The ends of each strand of DNA or RNA are termed the 5' (phosphate bound to the 5' position carbon) and 3' (phosphate bound to the 3' carbon) ends to indicate a polarity within the molecule. Using the letters A, T, C, G, to represent the nitrogenous bases adenine, thymine, cytosine, and guanine found in DNA, and the letters A, U, C, G to represent the nitrogenous bases adenine, uracil, cytosine, guanine found in RNA (Note that uracil in RNA replaces the thymine found in DNA), geneticists usually represent DNA by a series of base codes (e.g., 5' AATCGGATTGCA 3'). The base codes are usually arranged from the 5' end to the 3' end.</p><p>Because of specific base pairing in DNA (i.e., adenine (A) always bonds with (thymine (T) and cytosine (C) always bonds with guanine (G)) the complimentary stand to the sequence 5' AATCGGATTGCA 3' would be 3' TTAGCCTAACGT 5'.</p><p>With palindromes the sequences on the complimentary strands read the same in either direction. For example, a sequence of 5' GAATTC3' on one strand would be complimented by a 3' CTTAAG 5' strand. In either case, when either strand is read from the 5' prime end the sequence is GAATTC. Another example of a palindrome would be the sequence 5' CGAAGC 3' that, when reversed, still reads CGAAGC.</p><p>Palindromes are important sequences within nucleic acids. Often they are the site of binding for specific enzymes (e.g., restriction endobucleases) designed to cut the DNA strands at specific locations (i.e., at palindromes).</p><p>Palindromes may arise from brakeage and chromosomal inversions that form inverted repeats that compliment each other. When a palindrome results from an inversion, it is often referred to as an inverted repeat. For example, the sequence 5' CGAAGC 3', if inverted (reversed 180&deg;), still reads CGAAGC.</p><p>The <a href="http://emboss.open-bio.org/">European Molecular Biology Open Software Suite (EMBOSS)</a> includes some basic tools for finding tandem repeats and inverted repeats (see <a href="http://emboss.open-bio.org/html/use/apbs06.html#GroupsAppsTableNucleicrepeatsR6">B.6.22. Applications in group Nucleic:repeats</a>). There are many on-line services providing the EMBOSS tools, for example:</p><ul>
<li>Wageningen Bioinformatics Webportal <a href="http://emboss.bioinformatics.nl/">EMBOSS explorer</a></li>
<li><a href="http://mobyle.pasteur.fr/">Mobyle@Pasteur</a></li>
<li><a href="http://wsembnet.vital-it.ch/">Soaplab2 Web Services at Vital-IT</a></li>
</ul><p>For more sophisticated repeat finding you will want to look at tools using <a href="http://www.girinst.org/repbase/">Repbase</a> for example:</p><ul>
<li>CENSOR
<ul>
<li><a href="http://www.girinst.org/censor/">CENSOR@GIRI</a></li>
<li><a href="http://www.ebi.ac.uk/Tools/so/censor/">CENSOR@EMBL-EBI</a></li>
</ul>
</li>
<li><a href="http://www.repeatmasker.org/">RepeatMasker</a></li>
<li><a href="http://mummer.sourceforge.net/">MUMmer</a>&nbsp;(scan_for_match)</li>
<li><a href="http://emboss.bioinformatics.nl/cgi-bin/emboss/palindrome">Emboss Palindrome</a></li>
</ul><p>Other nucleotide repeat finding methods found by a couple of web searches:</p><ul>
<li><a href="http://tandem.bu.edu/trf/trf.html">Tandem Repeats Finder</a></li>
<li><a href="http://selab.janelia.org/recon.html">RECON</a></li>
<li><a href="http://www.yandell-lab.org/software/repeatrunner.html">RepeatRunner</a></li>
<li><a href="http://bibiserv.techfak.uni-bielefeld.de/reputer/">REPuter</a></li>
<li><a href="http://210.212.215.200/IMEX/index.html">Imperfect Microsatellite Extractor (IMEx)</a></li>
<li><a href="http://www.imtech.res.in/raghava/srf/">Spectral Repeat Finder (SRF)</a></li>
<li><a href="http://zlab.bu.edu/repfind/form.html">REPFIND</a></li>
<li><a href="http://crispr.u-psud.fr/Server/CRISPRfinder.php">CRISPRfinder</a></li>
<li><a href="http://grail.lsd.ornl.gov/grailexp/">GrailEXP</a></li>
<li><a href="http://alggen.lsi.upc.edu/recerca/search/frame-search.html">CONREPP</a></li>
<li><a href="http://www.biophp.org/minitools/find_palindromes/demo.php%20"><span>find_palindromes</span></a></li>
<li><a href="http://insilico.ehu.eus/palindromes/"><span>Palindrome</span></a></li>
<li><a href="http://emboss.bioinformatics.nl/cgi-bin/emboss/palindrome">EMBOSS Palindrome</a></li>
<li><a href="http://bioinfo.cs.technion.ac.il/projects/Engel-Freund/new.html">Palindrome Search</a></li>
</ul>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27477/cytoscape</guid>
	<pubDate>Mon, 23 May 2016 02:32:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27477/cytoscape</link>
	<title><![CDATA[Cytoscape]]></title>
	<description><![CDATA[<p>Cytoscape is an <a href="http://www.cytoscape.org/download.php">open source</a> software platform for visualizing complex networks and integrating these with any type of attribute data. A lot of <a href="http://apps.cytoscape.org/"><em>Apps</em></a> are available for various kinds of problem domains, including bioinformatics, social network analysis, and semantic web.</p><p>Address of the bookmark: <a href="http://www.cytoscape.org/" rel="nofollow">http://www.cytoscape.org/</a></p>]]></description>
	<dc:creator>Anjana</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27847/anvio</guid>
	<pubDate>Thu, 16 Jun 2016 18:15:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27847/anvio</link>
	<title><![CDATA[Anvio]]></title>
	<description><![CDATA[<p>In a nutshell</p>
<p>Anvi&rsquo;o is an analysis and visualization platform for &lsquo;omics data.</p>
<p>Please find the methods paper here: https://peerj.com/articles/1319/</p>
<p>Anvi&rsquo;o would not have been possible without the help of many people who directly or indirectly contributed to its development. Here is the acknowledgements section of our methods paper</p>
<p><span>An analysis and visualization platform for 'omics data</span><span>&nbsp;</span><span><a href="http://merenlab.org/projects/anvio">http://merenlab.org/projects/anvio</a></span></p>
<p><span>Paper&nbsp;https://peerj.com/articles/1839/</span></p><p>Address of the bookmark: <a href="https://github.com/meren/anvio" rel="nofollow">https://github.com/meren/anvio</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27973/wgsim</guid>
	<pubDate>Thu, 23 Jun 2016 07:26:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27973/wgsim</link>
	<title><![CDATA[WgSim]]></title>
	<description><![CDATA[<p>Reads simulator</p>
<p>Wgsim is a small tool for simulating sequence reads from a reference genome. It is able to simulate diploid genomes with SNPs and insertion/deletion (INDEL) polymorphisms, and simulate reads with uniform substitution sequencing errors. It does not generate INDEL sequencing errors, but this can be partly compensated by simulating INDEL polymorphisms.<br><br>Wgsim outputs the simulated polymorphisms, and writes the true read coordinates as well as the number of polymorphisms and sequencing errors in read names. One can evaluate the accuracy of a mapper or a SNP caller with wgsim_eval.pl that comes with the package.<br><br></p><p>Address of the bookmark: <a href="https://github.com/lh3/wgsim" rel="nofollow">https://github.com/lh3/wgsim</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28117/quin%E2%80%99s-web-server</guid>
	<pubDate>Mon, 27 Jun 2016 10:44:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28117/quin%E2%80%99s-web-server</link>
	<title><![CDATA[QuIN’s web server]]></title>
	<description><![CDATA[<p><span>Recent studies of the human genome have indicated that regulatory elements (e.g. promoters and enhancers) at distal genomic locations can interact with each other via chromatin folding and affect gene expression levels. Genomic technologies for mapping interactions between DNA regions, e.g., ChIA-PET and HiC, can generate genome-wide maps of interactions between regulatory elements. These interaction datasets are important resources to infer distal gene targets of non-coding regulatory elements and to facilitate prioritization of critical loci for important cellular functions. With the increasing diversity and complexity of genomic information and public ontologies, making sense of these datasets demands integrative and easy-to-use software tools. Moreover, network representation of chromatin interaction maps enables effective data visualization, integration, and mining. Currently, there is no software that can take full advantage of network theory approaches for the analysis of chromatin interaction datasets. To fill this gap, we developed a web-based application, QuIN, which enables: 1) building and visualizing chromatin interaction networks, 2) annotating networks with user-provided private and publicly available functional genomics and interaction datasets, 3) querying network components based on gene name or chromosome location, and 4) utilizing network based measures to identify and prioritize critical regulatory targets and their direct and indirect interactions.&nbsp;</span></p>
<p><strong>AVAILABILITY:</strong><span>&nbsp;QuIN&rsquo;s web server is available at&nbsp;</span><a href="http://quin.jax.org/">http://quin.jax.org</a><span>&nbsp;QuIN is developed in Java and JavaScript, utilizing an Apache Tomcat web server and MySQL database and the source code is available under the GPLV3 license available on GitHub:</span><a href="https://github.com/UcarLab/QuIN/">https://github.com/UcarLab/QuIN/</a><span>.</span></p><p>Address of the bookmark: <a href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004809" rel="nofollow">http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004809</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28554/megan6</guid>
	<pubDate>Mon, 25 Jul 2016 05:45:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28554/megan6</link>
	<title><![CDATA[MEGAN6]]></title>
	<description><![CDATA[<p>Microbiome analysis using a single application</p>
<p>MEGAN6 is a comprehensive toolbox for interactively analyzing microbiome data. All the interactive tools you need in one application.</p>
<ul>
<li>Taxonomic analysis using the NCBI taxonomy or a customized taxonomy such as SILVA</li>
<li>Functional analysis using InterPro2GO, SEED, eggNOG or KEGG</li>
<li>Bar charts, word clouds, Voronoi tree maps and many other charts</li>
<li>PCoA, clustering and networks</li>
<li>Supports metadata</li>
<li>MEGAN parses many different types of input</li>
</ul>
<p>Why use MEGAN6?</p>
<div>&nbsp;The software is:</div>
<div><ol>
<li>Easy to use. MEGAN6 is a single application and all features are available through menus, toolbars and graphics. No scripting skills required.</li>
<li>Powerful. MEGAN6 allows you to work with hundreds of samples containing&nbsp;hundreds of millions of sequencing reads. Blast-like analysis can be performed using DIAMOND.</li>
<li>Comprehensive. MEGAN6 offers a large range of analysis tools, and is under active development.</li>
</ol></div><p>Address of the bookmark: <a href="https://ab.inf.uni-tuebingen.de/software/megan6" rel="nofollow">https://ab.inf.uni-tuebingen.de/software/megan6</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29018/crossmap</guid>
	<pubDate>Mon, 05 Sep 2016 04:07:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29018/crossmap</link>
	<title><![CDATA[CrossMap]]></title>
	<description><![CDATA[<ul>
<li>CrossMap is a program for convenient conversion of genome coordinates (or annotation files) between&nbsp;<em>different assemblies</em>&nbsp;(such as Human&nbsp;<a href="http://www.ncbi.nlm.nih.gov/assembly/2928/">hg18 (NCBI36)</a>&nbsp;&lt;&gt;&nbsp;<a href="http://www.ncbi.nlm.nih.gov/assembly/2758/">hg19 (GRCh37)</a>, Mouse&nbsp;<a href="http://www.ncbi.nlm.nih.gov/assembly/165668/">mm9 (MGSCv37)</a>&nbsp;&lt;&gt;&nbsp;<a href="http://www.ncbi.nlm.nih.gov/assembly/327618/">mm10 (GRCm38)</a>).</li>
<li>It supports most commonly used file formats including SAM/BAM, Wiggle/BigWig, BED, GFF/GTF, VCF.</li>
<li>CrossMap is designed to liftover genome coordinates between assemblies. It&rsquo;s&nbsp;<em>not</em>&nbsp;a program for aligning sequences to reference genome.</li>
<li>We&nbsp;<em>do not</em>&nbsp;recommend using CrossMap to convert genome coordinates between species.</li>
</ul><p>Address of the bookmark: <a href="http://crossmap.sourceforge.net/" rel="nofollow">http://crossmap.sourceforge.net/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36861/eagler-a-scaffolding-tool-for-long-reads</guid>
	<pubDate>Mon, 04 Jun 2018 05:26:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36861/eagler-a-scaffolding-tool-for-long-reads</link>
	<title><![CDATA[EAGLER: a scaffolding tool for long reads.]]></title>
	<description><![CDATA[<p>EAGLER is a scaffolding tool for long reads. The scaffolder takes as input a draft genome created by any NGS assembler and a set of long reads. The long reads are used to extend the contigs present in the NGS draft and possibly join overlapping contigs. EAGLER supports both PacBio and Oxford Nanopore reads.</p>
<p>The tool should be compatible with most UNIX flavors and has been successfully tested on the following operating systems:</p>
<ul>
<li>Mac OS X 10.11.1</li>
<li>Mac OS X 10.10.3</li>
<li>Ubuntu 14.04 LTS</li>
</ul>

https://bib.irb.hr/datoteka/844447.Diplomski_2015_Luka_terbi.pdf<p>Address of the bookmark: <a href="https://github.com/mculinovic/EAGLER" rel="nofollow">https://github.com/mculinovic/EAGLER</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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