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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44876?offset=60</link>
	<atom:link href="https://bioinformaticsonline.com/related/44876?offset=60" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/40882/troyanskaya-lab</guid>
  <pubDate>Tue, 04 Feb 2020 06:40:36 -0600</pubDate>
  <link></link>
  <title><![CDATA[Troyanskaya Lab]]></title>
  <description><![CDATA[
<p>The goal of our research is to interpret and distill this complexity through accurate analysis and modeling of molecular pathways, particularly those in which malfunctions lead to the manifestation of disease. We are inventing integrative methods for systems-level pathway modeling through integrative analysis of genome-scale datasets. We apply these approaches in studying challenging biological problems, such as how pathways function in diverse cell types and how they change dynamically.</p>

<p>https://function.princeton.edu/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42568/breedbase-is-a-comprehensive-breeding-management-and-analysis-software</guid>
	<pubDate>Wed, 06 Jan 2021 19:45:21 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42568/breedbase-is-a-comprehensive-breeding-management-and-analysis-software</link>
	<title><![CDATA[Breedbase is a comprehensive breeding management and analysis software]]></title>
	<description><![CDATA[<p><span>Breedbase is a comprehensive breeding management and analysis software. It can be used to design field layouts, collect phenotypic information using tablets, support the collection of genotyping samples in a field, store large amounts of high density genotypic information, and provide Genomic Selection related analyses and predictions. Breedbase supports the BrAPI standard.</span></p><p>Address of the bookmark: <a href="https://breedbase.org/" rel="nofollow">https://breedbase.org/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43676/vcf2poptree-a-client-side-software-to-construct-population-phylogeny-from-genome-wide-snps</guid>
	<pubDate>Sat, 25 Dec 2021 00:13:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43676/vcf2poptree-a-client-side-software-to-construct-population-phylogeny-from-genome-wide-snps</link>
	<title><![CDATA[VCF2PopTree: a client-side software to construct population phylogeny from genome-wide SNPs]]></title>
	<description><![CDATA[<p>VCF2PopTree is a client-side software written in Javascript and it runs purely within the user&rsquo;s computer/browser.&nbsp; VCF2PopTree is compatible with all population browsers including Chrome, Opera, Edge and Firefox and works equally efficient in Mac, Windows and Linux (Ubuntu).&nbsp;</p>
<p>Furthermore, it displays the tree in a mobile phone (iPhone and Android) if the input file size is small.&nbsp; CITATION: Subramanian, S., Ramasamy, U. and Chen, D. (2019).&nbsp; VCF2PopTree: a client-side software to construct population phylogeny from genome-wide SNPs.&nbsp; Peer J. x:yy.</p><p>Address of the bookmark: <a href="https://github.com/sansubs/vcf2pop" rel="nofollow">https://github.com/sansubs/vcf2pop</a></p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37959/rainbow-an-integrated-tool-for-efficient-clustering-and-assembling-rad-seq-reads</guid>
	<pubDate>Fri, 19 Oct 2018 08:23:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37959/rainbow-an-integrated-tool-for-efficient-clustering-and-assembling-rad-seq-reads</link>
	<title><![CDATA[Rainbow: an integrated tool for efficient clustering and assembling RAD-seq reads]]></title>
	<description><![CDATA[<p><span>Rainbow is developed to provide an ultra-fast and memory-efficient solution to clustering and assembling short reads produced by RAD-seq. First, Rainbow clusters reads using a spaced seed method. Then, Rainbow implements a heterozygote calling like strategy to divide potential groups into haplotypes in a top&ndash;down manner. And along a guided tree, it iteratively merges sibling leaves in a bottom&ndash;up manner if they are similar enough. Here, the similarity is defined by comparing the 2nd reads of a RAD segment. This approach tries to collapse heterozygote while discriminate repetitive sequences. At last, Rainbow uses a greedy algorithm to locally assemble merged reads into contigs. Rainbow not only outputs the optimal but also suboptimal assembly results. Based on simulation and a real guppy RAD-seq data, we show that Rainbow is more competent than the other tools in dealing with RAD-seq data</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/bio-rainbow/files/" rel="nofollow">https://sourceforge.net/projects/bio-rainbow/files/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/34552/edit-distance-application-in-bioinformatics</guid>
	<pubDate>Thu, 07 Dec 2017 08:46:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/34552/edit-distance-application-in-bioinformatics</link>
	<title><![CDATA[Edit distance application in bioinformatics !]]></title>
	<description><![CDATA[<p>There are other popular measures of&nbsp;<a href="https://en.wikipedia.org/wiki/Edit_distance" title="Edit distance">edit distance</a>, which are calculated using a different set of allowable edit operations. For instance,</p><ul>
<li>the&nbsp;<a href="https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance" title="Damerau&ndash;Levenshtein distance">Damerau&ndash;Levenshtein distance</a>&nbsp;allows insertion, deletion, substitution, and the&nbsp;<a href="https://en.wikipedia.org/wiki/Transposition_(mathematics)" title="Transposition (mathematics)">transposition</a>&nbsp;of two adjacent characters;</li>
<li>the&nbsp;<a href="https://en.wikipedia.org/wiki/Longest_common_subsequence_problem" title="Longest common subsequence problem">longest common subsequence</a>&nbsp;(LCS) distance allows only insertion and deletion, not substitution;</li>
<li>the&nbsp;<a href="https://en.wikipedia.org/wiki/Hamming_distance" title="Hamming distance">Hamming distance</a>&nbsp;allows only substitution, hence, it only applies to strings of the same length.</li>
<li>the&nbsp;<a href="https://en.wikipedia.org/wiki/Jaro_distance" title="Jaro distance">Jaro distance</a>&nbsp;allows only&nbsp;<a href="https://en.wikipedia.org/wiki/Transposition_(mathematics)" title="Transposition (mathematics)">transposition</a>.</li>
</ul><p>&nbsp;</p><pre><span>use</span> Text<span>::</span>Levenshtein <span>qw</span><span>(</span>distance<span>);</span>

 <span>print</span> <span>distance</span><span>(</span><span>"foo"</span><span>,</span><span>"four"</span><span>);</span>
 <span># prints "2"</span>

 <span>my</span> <span>@words</span>     <span>=</span> <span>qw</span><span>/ four foo bar /</span><span>;</span>
 <span>my</span> <span>@distances</span> <span>=</span> <span>distance</span><span>(</span><span>"foo"</span><span>,</span><span>@words</span><span>);</span>

 <span>print</span> <span>"@distances"</span><span>;</span>
 <span># prints "2 0 3"</span><br /><br /><br /></pre><pre><span>use</span> Algorithm<span>::</span>LCSS <span>qw</span><span>(</span> LCSS CSS CSS_Sorted <span>);</span>
    <span>my</span> <span>$lcss_ary_ref</span> <span>=</span> <span>LCSS</span><span>(</span> <span>\</span><span>@SEQ1</span><span>,</span> <span>\</span><span>@SEQ2</span> <span>);</span>  <span># ref to array</span>
    <span>my</span> <span>$lcss_string</span>  <span>=</span> <span>LCSS</span><span>(</span> <span>$STR1</span><span>,</span> <span>$STR2</span> <span>);</span>    <span># string</span>
    <span>my</span> <span>$css_ary_ref</span> <span>=</span> <span>CSS</span><span>(</span> <span>\</span><span>@SEQ1</span><span>,</span> <span>\</span><span>@SEQ2</span> <span>);</span>    <span># ref to array of arrays</span>
    <span>my</span> <span>$css_str_ref</span> <span>=</span> <span>CSS</span><span>(</span> <span>$STR1</span><span>,</span> <span>$STR2</span> <span>);</span>      <span># ref to array of strings</span>
    <span>my</span> <span>$css_ary_ref</span> <span>=</span> <span>CSS_Sorted</span><span>(</span> <span>\</span><span>@SEQ1</span><span>,</span> <span>\</span><span>@SEQ2</span> <span>);</span>  <span># ref to array of arrays</span>
    <span>my</span> <span>$css_str_ref</span> <span>=</span> <span>CSS_Sorted</span><span>(</span> <span>$STR1</span><span>,</span> <span>$STR2</span> <span>);</span>    <span># ref to array of strings<br /><br /><br /><br /></span></pre><p>There are many different modules on CPAN for calculating the edit distance between two strings. Here's just a selection.</p><p><a href="http://search.cpan.org/perldoc?Text%3A%3ALevenshteinXS">Text::LevenshteinXS</a>&nbsp;and&nbsp;<a href="http://search.cpan.org/perldoc?Text%3A%3ALevenshtein%3A%3AXS">Text::Levenshtein::XS</a>&nbsp;are both versions of the Levenshtein algorithm that require a C compiler, but will be a lot faster than this module.</p><p>The Damerau-Levenshtein edit distance is like the Levenshtein distance, but in addition to insertion, deletion and substitution, it also considers the transposition of two adjacent characters to be a single edit. The module&nbsp;<a href="http://search.cpan.org/perldoc?Text%3A%3ALevenshtein%3A%3ADamerau">Text::Levenshtein::Damerau</a>&nbsp;defaults to using a pure perl implementation, but if you've installed&nbsp;<a href="http://search.cpan.org/perldoc?Text%3A%3ALevenshtein%3A%3ADamerau%3A%3AXS">Text::Levenshtein::Damerau::XS</a>&nbsp;then it will be a lot quicker.</p><p><a href="http://search.cpan.org/perldoc?Text%3A%3AWagnerFischer">Text::WagnerFischer</a>&nbsp;is an implementation of the Wagner-Fischer edit distance, which is similar to the Levenshtein, but applies different weights to each edit type.</p><p><a href="http://search.cpan.org/perldoc?Text%3A%3ABrew">Text::Brew</a>&nbsp;is an implementation of the Brew edit distance, which is another algorithm based on edit weights.</p><p><a href="http://search.cpan.org/perldoc?Text%3A%3AFuzzy">Text::Fuzzy</a>&nbsp;provides a number of operations for partial or fuzzy matching of text based on edit distance.&nbsp;<a href="http://search.cpan.org/perldoc?Text%3A%3AFuzzy%3A%3APP">Text::Fuzzy::PP</a>&nbsp;is a pure perl implementation of the same interface.</p><p><a href="http://search.cpan.org/perldoc?String%3A%3ASimilarity">String::Similarity</a>&nbsp;takes two strings and returns a value between 0 (meaning entirely different) and 1 (meaning identical). Apparently based on edit distance.</p><p><a href="http://search.cpan.org/perldoc?Text%3A%3ADice">Text::Dice</a>&nbsp;calculates&nbsp;<a href="https://en.wikipedia.org/wiki/S%C3%B8rensen%E2%80%93Dice_coefficient">Dice's coefficient</a>&nbsp;for two strings. This formula was originally developed to measure the similarity of two different populations in ecological research.</p><pre><span>&nbsp;</span></pre>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37830/nquire-a-statistical-framework-for-ploidy-estimation-using-next-generation-sequencing</guid>
	<pubDate>Thu, 04 Oct 2018 05:23:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37830/nquire-a-statistical-framework-for-ploidy-estimation-using-next-generation-sequencing</link>
	<title><![CDATA[nQuire: a statistical framework for ploidy estimation using next generation sequencing]]></title>
	<description><![CDATA[<p>nQuire provides a statistical framework to study organisms with intraspecific variation in ploidy. nQuire is likely to be useful in epidemiological studies of pathogens, artificial selection experiments, and for historical or ancient samples where intact nuclei are not preserved. It is implemented as a stand-alone Linux command line tool in the C programming language and is available at https://github.com/clwgg/nQuireunder the MIT license.</p><p>Address of the bookmark: <a href="https://github.com/clwgg/nQuireunder" rel="nofollow">https://github.com/clwgg/nQuireunder</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9429/srf-vacancy-at-nipgr</guid>
  <pubDate>Tue, 25 Mar 2014 19:20:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF Vacancy at NIPGR]]></title>
  <description><![CDATA[
<p>Applications are invited from suitable candidates for filling up the purely temporary position of one Senior Research Fellow in DST’s Indo-Australian Joint project (with ICRISAT) entitled “Genomic Approach for Stress Tolerant Chickpea” under the guidance of Dr. Mukesh Jain, Scientist, NIPGR.</p>

<p>(A) Senior Research Fellow (One Post):    Emoluments as per DST/DBT norms.</p>

<p>Candidates having M.Sc. degree (with minimum of 55% marks) or equivalent in Life Sciences/Biotechnology/Bioinformatics/ Molecular Biology or any other related field with minimum of two years of post M.Sc. research experience are eligible to apply. The candidate having computer skill (Linux, Perl, Java, MySQL) and/or experience in advanced molecular biology, next generation sequencing data analysis and molecular markers analysis will be preferred.</p>

<p>The position is completely on temporary basis and co-terminus with the project. The initial appointment will be for one year, which can be curtailed/extended on the basis of assessment of the candidate’s performance and discretion of the Competent Authority. NIPGR reserves the right to select the candidate against the above posts depending upon the qualifications and experience of the candidates. Reservation of posts shall be as per Govt. of India norms.</p>

<p>Eligible candidates may apply by sending hard copy of completed application in the given format with a cover letter showing interest and attested copies of the certificates and proof of research experience. The applications should reach at the address given below within 15 days from the date of the advertisement. The subject line on envelope must be superscribed by “Application for the Post of SRF in DST - AISRF project”.</p>

<p>Note: ONLY hard copy of the application in the given format will be accepted.</p>

<p>Last date April 03, 2014</p>

<p>Dr. Mukesh Jain<br />Staff Scientist<br />National Institute of Plant Genome Research<br />Aruna Asaf Ali Marg, P.O. Box NO. 10531,<br />New Delhi - 110067</p>

<p>Advertisement: http://www.nipgr.res.in/careers/vacancies_latest.php#</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44934/genomic-basis-of-evolutionary-innovations-gevol</guid>
	<pubDate>Sat, 06 Dec 2025 06:11:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44934/genomic-basis-of-evolutionary-innovations-gevol</link>
	<title><![CDATA[Genomic Basis of Evolutionary Innovations (GEvol)]]></title>
	<description><![CDATA[<p>The Priority Programme (SPP 2349) funded by German Science Foundation (DFG) started 2022: &bdquo;Genomic Basis of Evolutionary Innovations (GEvol)&ldquo;</p>
<p>GEvol is unique as it will use, for the first time, a large taxonomic group to focus on one goal: to characterise the dynamics and mechanisms of genomic innovations underlying novel traits using comparative evolutionary genomics (and related data).<br>Thus, projects participating in GEvol we will ask fundamental evolutionary questions such as:<br>1. At what level is evolution repeatable?<br>2. How does genomic plasticity interfere with phenotypic plasticity during evolution?<br>3. How do inter- and intra-specific interactions influence genomic architectures?<br>4. How predictable is phenotypic variation given some knowledge about the dynamics and mechanisms of underlying genome evolution?</p><p>Address of the bookmark: <a href="https://g-evol.uni-muenster.de/open-positions/" rel="nofollow">https://g-evol.uni-muenster.de/open-positions/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34391/taxoblast-taxoblast-is-a-pipeline-to-identify-contamination-in-genomic-sequence</guid>
	<pubDate>Thu, 23 Nov 2017 08:37:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34391/taxoblast-taxoblast-is-a-pipeline-to-identify-contamination-in-genomic-sequence</link>
	<title><![CDATA[Taxoblast : Taxoblast is a pipeline to identify contamination in genomic sequence]]></title>
	<description><![CDATA[<p><span>Modern genome sequencing strategies are highly sensitive to contamination making the detection of foreign DNA sequences an important part of analysis pipelines. Here we use Taxoblast, a simple pipeline with a graphical user interface, for the post-assembly detection of contaminating sequences in the published genome of the kelp&nbsp;</span><em>Saccharina japonica</em><span>. Analyses were based on multiple blastn searches with short sequence fragments. They revealed a number of probable bacterial contaminations as well as hybrid scaffolds that contain both bacterial and algal sequences. This or similar types of analysis, in combination with manual curation, may thus constitute a useful complement to standard bioinformatics analyses prior to submission of genomic data to public repositories. Our analysis pipeline is open-source and freely available at&nbsp;</span><a href="http://sdittami.altervista.org/taxoblast" title="">http://sdittami.altervista.org/taxoblast</a><span>&nbsp;and via SourceForge (</span><a href="https://sourceforge.net/projects/taxoblast" title="">https://sourceforge.net/projects/taxoblast</a><span>).</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/taxoblast/files/" rel="nofollow">https://sourceforge.net/projects/taxoblast/files/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36456/alpaca-a-hybrid-strategy-for-assembly-of-genomic-dna-shotgun-sequencing-reads</guid>
	<pubDate>Mon, 30 Apr 2018 04:38:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36456/alpaca-a-hybrid-strategy-for-assembly-of-genomic-dna-shotgun-sequencing-reads</link>
	<title><![CDATA[ALPACA: A hybrid strategy for assembly of genomic DNA shotgun sequencing reads.]]></title>
	<description><![CDATA[<p><span>ALPACA requires Celera Assembler 8.3 or later. It is recommended to build Celera Assembler from source. (Why? The pre-built binaries CA_8.3rc1 and CA8.3rc2 will work for any large data set.&nbsp;</span></p>
<p><span>Detail paper at&nbsp;https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-017-3927-8</span></p><p>Address of the bookmark: <a href="https://github.com/VicugnaPacos/ALPACA" rel="nofollow">https://github.com/VicugnaPacos/ALPACA</a></p>]]></description>
	<dc:creator>Seema Singh</dc:creator>
</item>

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