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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/9639?offset=620</link>
	<atom:link href="https://bioinformaticsonline.com/related/9639?offset=620" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24984/ra-bioinformatics-at-nii</guid>
  <pubDate>Thu, 22 Oct 2015 01:56:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at NII]]></title>
  <description><![CDATA[
<p>NATIONAL INSTITUTE OF IMMUNOLOGY</p>

<p>NEW DELHI-110067</p>

<p>Applications are invited for the position of Research Associate (RA) for the following time-bound sponsored project as per the details given below:</p>

<p>1. BTIS project entitled, “National Infrastructural Facility in the Area of Immunology” funded by DBT</p>

<p>Research Associate (One Position only)</p>

<p>Dr. Debasisa Mohanty Staff Scientist-VI deb@nii.res.in</p>

<p>Educational Qualifications: Ph.D in Bioinformatics or Biological Sciences or Biotechnology with research experience and publication record in indexed peer reviewed journals in the area of bioinformatics or computational biology.</p>

<p>Emoluments: The selected candidates will draw consolidated emoluments as per Institute Rules, depending upon qualifications &amp; experience Research Associate: Rs. 36,000/- per month plus 30% HRA</p>

<p>Job description &amp; Desired Knowledge: The candidate should be well versed in Programming in PERL/C++, HTML, CGI, web sever and portal development, computational analysis of protein structure &amp; function, molecular dynamics simulations and use of high performance computing systems.</p>

<p>General Terms &amp; Conditions:-</p>

<p>1. The candidates selected for the above posts will be on contract for one year or duration of the project whichever is shorter, at a time.</p>

<p>2. No hostel/ housing facility will be provided.</p>

<p>3. Applicants may clearly mention the category they belong to i.e. SC/ST/OBC/PH and attach documentary proof of the same.</p>

<p>4. No TA/DA will be paid for attending the interview, if called for.</p>

<p>5. Apart from sending application in the prescribed format given below, candidates should send complete Curriculum Vitae along with the names of three referees. Curriculum Vitae should contain details of the experimental expertise and list of publications. 6. Canvassing in any form will be a disqualification.</p>

<p>HOW TO APPLY Interested candidates may apply directly, STRICTLY IN THE PRESCRIBED FORMAT GIVEN BELOW, through e-mail, to the Investigator of the project, clearly indicating the name of the project along with their complete C.V., Email ID, fax numbers, telephone numbers. Only Short listed candidates will be called for interview and they required to submit attested copies of all their certificates and a Demand Draft of Rs 100/- drawn on Canara Bank or Indian Bank payable at Delhi/New Delhi in favour of the Director, NII (SC/ST/PH and Women candidates are exempted from payment of fees) subject to submission of documentary proof), at the time of interview. (E-MAIL APPLICATIONS SHOULD MENTION BTIS-RA 2015 IN THE SUBJECT LINE)</p>

<p>LAST DATE OF RECEIPT OF APPLICATIONS: 29th October, 2015</p>

<p>Advertisement:</p>

<p>www1.nii.res.in/sites/default/files/projectappointments-Dr.Mohanty-29oct2015.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43548/upgma-worked-example</guid>
	<pubDate>Wed, 13 Oct 2021 06:13:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43548/upgma-worked-example</link>
	<title><![CDATA[UPGMA Worked Example]]></title>
	<description><![CDATA[<p><span>The tabs below include a walkthrough of clustering 7 biological sequences (A-G) using the Unweighted Pair-Group Method with Arithmetic mean (UPGMA) method. Note that UPGMA is actually a generic method and thus the walkthrough could apply to any objects A-G for which pairwise distances can be calculated. A small CGI site for generating a UPGMA tree from a distance matrix can be found&nbsp;</span><a href="http://bioware.soton.ac.uk/upgma.html">here</a><span>.</span></p><p>Address of the bookmark: <a href="http://www.slimsuite.unsw.edu.au/teaching/upgma/" rel="nofollow">http://www.slimsuite.unsw.edu.au/teaching/upgma/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34734/smash-an-alignment-free-tool-to-find-and-visualise-rearrangements-between-pairs-of-dna-sequences</guid>
	<pubDate>Thu, 21 Dec 2017 08:26:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34734/smash-an-alignment-free-tool-to-find-and-visualise-rearrangements-between-pairs-of-dna-sequences</link>
	<title><![CDATA[SMASH: An alignment-free tool to find and visualise rearrangements between pairs of DNA sequences]]></title>
	<description><![CDATA[<p style="text-align: justify;"><span>SMASH is a completely alignment-free method to find and visualise rearrangements between pairs of DNA sequences</span>. The detection is based on&nbsp;<span>relative compression</span>, namely using a FCM, also known as Markov model, of high context order (typically 20). The method has been approached with a tool (also called SMASH). For visualization, SMASH outputs a SVG image, with an ideogram output architecture, where the patterns are represented with several HSV values (only value varies). The following image, illustrating the information maps between human and chimpanzee for the several chromosomes, depicts an example:</p>
<p><a href="https://github.com/pratas/smash/blob/master/imgs/HC.png" target="_blank"><img src="https://github.com/pratas/smash/raw/master/imgs/HC.png" alt="ScreenShot" style="border: 0px;"></a></p>
<p>&nbsp;</p>
<h2>&nbsp;</h2><p>Address of the bookmark: <a href="https://github.com/pratas/smash" rel="nofollow">https://github.com/pratas/smash</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44227/common-methods-to-discover-tandem-repeats</guid>
	<pubDate>Thu, 09 Mar 2023 02:40:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44227/common-methods-to-discover-tandem-repeats</link>
	<title><![CDATA[Common methods to discover tandem repeats]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><p>Tandem repeats are DNA sequences that are repeated in a contiguous manner in the genome. These sequences are often used as genetic markers and are important in many areas of genetics and genomics research. Here are some methods for discovering tandem repeats in genomes:</p><ol>
<li>
<p>Tandem Repeat Finder: Tandem Repeat Finder is a software tool that identifies tandem repeats in DNA sequences. It is available for free download and can be used on both nucleotide and protein sequences. The tool uses a statistical algorithm to identify repeats based on their length, copy number, and overall composition.</p>
</li>
<li>
<p>RepeatMasker: RepeatMasker is another software tool that can identify tandem repeats in DNA sequences. It works by comparing the input sequence to a database of known repeats and then identifies any tandem repeats that match those in the database.</p>
</li>
<li>
<p>PCR-based methods: Polymerase chain reaction (PCR) can be used to amplify and detect tandem repeats in genomic DNA. PCR primers are designed to flank the tandem repeat region, and amplification of the target DNA fragment can be visualized on a gel. This method can be useful for detecting novel tandem repeats and for genotyping.</p>
</li>
<li>
<p>Southern blotting: Southern blotting is a classic method for detecting DNA fragments in a sample. It can be used to detect tandem repeats by digesting genomic DNA with a restriction enzyme, separating the fragments by gel electrophoresis, and then probing the blot with a tandem repeat-specific probe.</p>
</li>
</ol><p>Overall, a combination of these methods can be used to comprehensively identify tandem repeats in genomes.</p></div></div></div></div></div></div></div></div></div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/34864/installing-perl-environment-on-linux</guid>
	<pubDate>Tue, 26 Dec 2017 21:21:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/34864/installing-perl-environment-on-linux</link>
	<title><![CDATA[Installing Perl environment on Linux]]></title>
	<description><![CDATA[<p>By using&nbsp;<code>plenv</code>, you can easily install and switch among different version of Perl. This will be installed under your home directory in<code>~/.plenv</code>.</p><h4>Install latest Perl (with supporting multithreading) and CPANMinus.</h4><pre><code> $ cd
 $ git clone git://github.com/tokuhirom/plenv.git ~/.plenv
 $ git clone git://github.com/tokuhirom/Perl-Build.git ~/.plenv/plugins/perl-build/
 $ echo 'export PATH="$HOME/.plenv/bin:$PATH"' &gt;&gt; ~/.bashrc
 $ echo 'eval "$(plenv init -)"' &gt;&gt; ~/.bashrc
 $ source ~/.bashrc
 $ plenv install 5.18.1 -Dusethreads
 $ plenv rehash
 $ plenv global 5.18.1
 $ plenv install-cpanm
</code></pre><ul>
<li><code>git</code>&nbsp;is a distributed revision control and source code management software which can help you to download files from GitHub server.</li>
<li><code>echo</code>&nbsp;means "print".</li>
<li><code>&gt;&gt;</code>&nbsp;means adding the output into the end of the file, while&nbsp;<code>&gt;</code>&nbsp;means adding the output by overwriting the whole file. Please use<code>&gt;</code>&nbsp;with additional cares.</li>
<li>In Linux system, there are two types of outputs when you execute a command. One is called standard output (or sometimes STDOUT for short), and the other is a standard error (STDERR).&nbsp;<code>1&gt;</code>&nbsp;is for STDOUT only,&nbsp;<code>2&gt;</code>&nbsp;is for STDERR only, and&nbsp;<code>&amp;&gt;</code>means for both. In default&nbsp;<code>&gt;</code>&nbsp;is the same to&nbsp;<code>1&gt;</code>.</li>
<li><code>exec</code>&nbsp;is execution.</li>
<li>Remember to install Perl in supporting multithreading (with option&nbsp;<code>-Dusethreads</code>), which is important for many NGS analysis packages (e.g. Trinity). In this setting, you can use multiple CPU for Perl software.</li>
<li>Install the CPAN (Comprehensive Perl Archive Network) manager software, CPANMinus, by&nbsp;<code>install-cpanm</code>.</li>
</ul><p>You can use&nbsp;<code>plenv global</code>&nbsp;and&nbsp;<code>plenv local</code>&nbsp;to change the different version of Perl to fulfil different needs of your Perl software.</p><p>For example, if the&nbsp;specific version of Perl is not compatible with your script, you can switch to the different version by:</p><pre><code> $ plenv local 
</code></pre><ul>
<li>It is similar to set the local version of your script language when you use&nbsp;<code>pyenv</code>&nbsp;and&nbsp;<code>rbenv</code>&nbsp;as the following.</li>
</ul><p>Put the following path into&nbsp;<code>~/.bashrc file</code>.</p><pre><code>export PERL5LIB="$HOME/.plenv/build/perl-5.18.1/lib"
</code></pre><h4>Install BioPerl and PerlIO::gzip</h4><p>CPANMinus is a very good Perl module manager, use&nbsp;<code>cpanm</code>&nbsp;to install BioPerl can save you a lot of time. Here are some useful modules:</p><pre><code>$ cpanm Bio::Perl
$ cpanm Bio::SearchIO
$ cpanm PerlIO::gzip<br /></code></pre><p><span>For more information, please visit:&nbsp;</span><a href="https://github.com/tokuhirom/plenv">https://github.com/tokuhirom/plenv</a></p><pre><code>&nbsp;</code></pre>]]></description>
	<dc:creator>biogeek</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41043/postdoctoral-scientist-genome-analytics-genome-bioinformatics-mf</guid>
  <pubDate>Sun, 16 Feb 2020 02:57:40 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral scientist genome analytics/ genome bioinformatics (m/f/*)]]></title>
  <description><![CDATA[
<p>https://www.uksh.de/jobs/Stellenangebote-nr-20190570-p-8.html<br />Your profile:<br />Degree in bioinformatics, biostatistics, or equivalent<br />Experience in the processing and analysis of large-scale genomics data using compute clusters / high-performance computing<br />Strong competence in working in Unix/Linux environments (shell)<br />Strong programming skills (in particular: Python, R, Perl)<br />Experience with using git and snakemake<br />Fluent English language skills, both spoken and written<br />Strong communication skills and motivation to work in a young, interdisciplinary, dynamic team</p>

<p>Additional Information:</p>

<p>If you have any questions about scientific aspects of this position, please contact Prof. Lars Bertram, head of LIGA (lars.bertram@uni-luebeck.de).</p>

<p>Please contact Ms. Anna Wolbert for further questions about administrative details (recruiting@uksh.de).</p>

<p>Weitere Informationen erhalten Sie auch unter www.uksh.de/karriere.</p>

<p>Wir freuen uns auf Ihre Bewerbung bis zum 15.03.2020 unter Angabe unserer Ausschreibungsnummer 20190570.119.CL.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/42003/perl-one-liner-for-beginners</guid>
	<pubDate>Fri, 24 Jul 2020 05:58:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/42003/perl-one-liner-for-beginners</link>
	<title><![CDATA[Perl one-liner for beginners !]]></title>
	<description><![CDATA[<p>I often use the following arguments to perl:</p><ul>
<li>-e Makes the line of code be executed instead of a script</li>
<li>-n Forces your line to be called in a loop. Allows you to take lines from the diamond operator (or stdin)</li>
<li>-p Forces your line to be called in a loop. Prints $_ at the end</li>
</ul><p>&nbsp;</p><ul>
<li>This counts the number of quotation marks in each line and prints it
<div>
<blockquote>
<div>perl -ne&nbsp;'$cnt = tr/"//;print "$cnt\n"'&nbsp;inputFileName.txt</div>
</blockquote>
</div>
</li>
</ul><ul>
<li>Adds string to each line, followed by tab
<div>
<blockquote>
<div>perl -pe&nbsp;'s/(.*)/string\t$1/'&nbsp;inFile &gt; outFile</div>
</blockquote>
</div>
</li>
</ul><ul>
<li>Append a new line to each line
<div>
<blockquote>
<div>perl -pe&nbsp;'s//\n/'&nbsp;all.sent.classOnly &gt; all.sent.classOnly.sep</div>
</blockquote>
</div>
</li>
</ul><ul>
<li>Replace all occurrences of pattern1 (e.g. [0-9]) with pattern2
<div>
<blockquote>
<div>perl -p -i.bak -w -e&nbsp;'s/pattern1/pattern2/g'&nbsp;inputFile</div>
</blockquote>
</div>
</li>
</ul><ul>
<li>Go through file and only print words that do not have any uppercase letters.
<div>
<blockquote>
<div>perl -ne&nbsp;'print unless m/[A-Z]/'&nbsp;allWords.txt &gt; allWordsOnlyLowercase.txt</div>
</blockquote>
</div>
</li>
</ul><ul>
<li>Go through file, split line at each space and print words one per line.
<div>
<blockquote>
<div>perl -ne&nbsp;'print join("\n", split(/ /,$_));print("\n")'&nbsp;someText.txt &gt; wordsPerLine.txt</div>
</blockquote>
</div>
</li>
</ul><ul>
<li>or in other words, delete every character that is not a letter, white space or line end (replace with nothing)
<div>
<blockquote>
<div>perl -pne&nbsp;'s/[^a-zA-Z\s]*//g'&nbsp;text_withSpecial.txt &gt; text_lettersOnly.txt</div>
</blockquote>
</div>
</li>
</ul><ul>
<li>
<div>
<div>perl -pne&nbsp;'tr/[A-Z]/[a-z]/'&nbsp;textWithUpperCase.txt &gt; textwithoutuppercase.txt;</div>
</div>
</li>
</ul><ul>
<li>Print only the second column of the data when using tabular as a separator
<div>
<blockquote>
<div>perl -ne&nbsp;'@F = split("\t", $_); print "$F[1]";'&nbsp;columnFileWithTabs.txt &gt; justSecondColumn.txt</div>
</blockquote>
</div>
</li>
</ul><ul>
<li>
<div>One-Liner: Sort lines by their length
<blockquote>
<div>perl -e&nbsp;'print sort {length $a &lt;=&gt; length $b} &lt;&gt;'&nbsp;textFile</div>
</blockquote>
</div>
</li>
</ul><ul>
<li>One-Liner: Print second column, unless it contains a number
<blockquote>
<div>perl"&gt;perl -lane&nbsp;'print $F[1] unless $F[1] =~ m/[0-9]/'&nbsp;wordCounts.txt</div>
</blockquote>
</li>
</ul>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36865/perga-a-paired-end-read-guided-de-novo-assembler-for-extending-contigs-using-svm-and-look-ahead-approach</guid>
	<pubDate>Tue, 05 Jun 2018 09:57:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36865/perga-a-paired-end-read-guided-de-novo-assembler-for-extending-contigs-using-svm-and-look-ahead-approach</link>
	<title><![CDATA[PERGA: A Paired-End Read Guided De Novo Assembler for Extending Contigs Using SVM and Look Ahead Approach]]></title>
	<description><![CDATA[PERGA - Paired End Reads Guided Assembler

PERGA is a novel sequence reads guided de novo assembly approach which adopts greedy-like prediction strategy for assembling reads to contigs and scaffolds. Instead of using single-end reads to construct contig, PERGA uses paired-end reads and different read overlap sizes from O ≥ Omax to Omin to resolve the gaps and branches. Moreover, by constructing a decision model using machine learning approach based on branch features, PERGA can determine the correct extension in 99.7% of cases. PERGA will try to extend the contigs by all feasible nucleotides and determine if these multiple extensions due to sequencing errors or repeats by using looking ahead technology, and it also try to separate the different repeats of nearby genomic regions to make the assembly result more longer and accurate.

The simulated E.coli paired-end reads data are generated using GemSim (KE McElroy, F Luciani, T Thomas. Gemsim: General, Error-Model Based Simulator of Next-Generation Sequencing Data. BMC Genomics 2012, 13:74), with coverage 50x, 60x, 100x, read lengths 100-bp, and can be downloaded from https://github.com/zhuxiao/data_PERGA.<p>Address of the bookmark: <a href="https://github.com/hitbio/PERGA" rel="nofollow">https://github.com/hitbio/PERGA</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12111/internship-program-with-arraygen-technolgies</guid>
  <pubDate>Sun, 22 Jun 2014 23:18:31 -0500</pubDate>
  <link></link>
  <title><![CDATA[Internship program with ArrayGen Technolgies]]></title>
  <description><![CDATA[
<p>Internship Program for Bioinformatics / Biotechnology Professionals Currently we offer positions to outstanding students interested in Next Generation Sequencing (NGS) data analysis. Applications are accepted throughout the year. Accepted students will be listed on web with their schedules. Accepted students can attend our future workshops and trainings freely at the specified venue.</p>

<p>Interested candidates may email their resume along with a cover letter to careers@arraygen.com</p>

<p>Official website: http://www.arraygen.com/</p>
]]></description>
</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>
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