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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/36880?offset=980</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25147/pre-or-postdoctoral-research-fellowship-in-structural-bioinformatics-at-padova</guid>
  <pubDate>Thu, 05 Nov 2015 22:15:12 -0600</pubDate>
  <link></link>
  <title><![CDATA[Pre- or postdoctoral research fellowship in Structural Bioinformatics at Padova]]></title>
  <description><![CDATA[
<p>A research fellowship for a software developer is available at the BioComputing UP Laboratory, University of Padova (URL: http://protein.bio.unipd.it/).<br />A highly motivated and creative candidate is sought to work on structural bioinformatics. Specifically, the project entails the development of novel methods, tools and databases for the analysis of protein structures.</p>

<p>The BioComputing UP Laboratory, headed by Prof. Silvio Tosatto, is a dynamic group of a dozen people working on several aspects of prediction of protein structure &amp; function employing techniques at the intersection between biology, medicine, chemistry, physics &amp; computer science.<br />Our aim is to integrate the development of novel methods and their application to biologically relevant problems.</p>

<p>We are looking for candidates with a solid Bioinformatics background, programming experience (Python, C++ and/or Java) and good knowledge of molecular biology (protein structure/function). Good knowledge of statistics as well as experience in using database systems (MongoDB, MySQL and/or Postgres) is desirable. Candidates should have a degree with top marks, optionally hold a PhD, and be highly motivated to work on interdisciplinary research. Good knowledge of English, an open-minded spirit, being collaborative and creative are crucial.</p>

<p>The fellowship, which should start as soon as possible, is renewable and initially for one year. It will be commensurate to experience, can be extended depending on performance and may lead to a PhD degree. The successful candidate will be working full-time at the BioComputing UP Laboratory, University of Padova. Travel support for conferences and/or research visits abroad is provided.<br />To apply, please send your CV, with a motivation letter and brief description of your research background as well as the names of two (or more) references to: biocomp@bio.unipd.it. </p>

<p>Start date: As soon as possible</p>

<p>Duration: 1 year, renewable</p>

<p>Salary on grant: Commesurate to experience</p>

<p>Contact Person (Referent): Silvio Tosatto</p>

<p>Ref. E-Mail: biocomp@bio.unipd.it</p>

<p>Tel: +39 049 827 6269<br />Fax: +39 049 827 6260</p>

<p>Group Web Page: http://protein.bio.unipd.it/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42139/mixtures-a-novel-tool-for-bacterial-strain-reconstruction-from-reads</guid>
	<pubDate>Fri, 21 Aug 2020 08:23:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42139/mixtures-a-novel-tool-for-bacterial-strain-reconstruction-from-reads</link>
	<title><![CDATA[mixtureS: a novel tool for bacterial strain reconstruction from reads]]></title>
	<description><![CDATA[<div>
<p>mixtureS that can de novo identify bacterial strains from shotgun reads of a clonal or metagenomic sample, without prior knowledge about the strains and their variations. Tested on 243 simulated datasets and 195 experimental datasets, mixtureS reliably identified the strains, their numbers and their abundance. Compared with three tools, mixtureS showed better performance in almost all simulated datasets and the vast majority of experimental datasets.</p>
</div>
<div>
<div>Availability</div>
<p>The source code and tool mixtureS is available at&nbsp;<a href="http://www.cs.ucf.edu/~xiaoman/mixtureS/" target="_blank">http://www.cs.ucf.edu/&tilde;xiaoman/mixtureS/</a>.</p>
</div><p>Address of the bookmark: <a href="http://www.cs.ucf.edu/~xiaoman/mixtureS/" rel="nofollow">http://www.cs.ucf.edu/~xiaoman/mixtureS/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26587/last</guid>
	<pubDate>Wed, 09 Mar 2016 14:27:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26587/last</link>
	<title><![CDATA[LAST]]></title>
	<description><![CDATA[<p style="text-align: center;"><img src="http://last.cbrc.jp/lastwebfig.png" alt="sketch of  similar regions in sequences" style="border: 0px;"></p>
<p>LAST can:</p>
<ul>
<li>Handle <strong>big</strong> sequence data, e.g:
<ul>
<li>Compare two vertebrate genomes</li>
<li>Align billions of DNA reads to a genome</li>
</ul>
</li>
<li>Indicate the <a href="http://lastweb.cbrc.jp/about.html">reliability</a> of each aligned column.</li>
<li>Use sequence quality data <a href="http://nar.oxfordjournals.org/content/38/7/e100.abstract">properly</a>.</li>
<li>Compare DNA to proteins, with frameshifts.</li>
<li>Compare PSSMs to sequences</li>
<li>Calculate the likelihood of chance similarities between random sequences.</li>
<li>Do split and spliced alignment.</li>
<li><a href="http://last.cbrc.jp/doc/last-train.html">Train</a> alignment parameters for unusual kinds of sequence (e.g. nanopore).</li>
</ul><p>Address of the bookmark: <a href="http://last.cbrc.jp/" rel="nofollow">http://last.cbrc.jp/</a></p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25308/traineeship-at-biomedical-informatics-centre-pgimer-chandigarh</guid>
  <pubDate>Sun, 29 Nov 2015 03:04:27 -0600</pubDate>
  <link></link>
  <title><![CDATA[Traineeship at Biomedical Informatics Centre  PGIMER  Chandigarh]]></title>
  <description><![CDATA[
<p>Biomedical Informatics Centre</p>

<p>PGIMER</p>

<p>Chandigarh</p>

<p>invites application for a project dissertation program for students who have completed their first year of M.Sc. in Bioinformatics.</p>

<p>This is an exciting opportunity for Master's students to train in modern methods in Bioinformatics. The duration of the training will be four to six months, starting from January 2016.</p>

<p>Education: Pursuing M.Sc. Bioinformatics</p>

<p>Essential: Post graduate applicants should have completed their first year and should be in the third semester or first half of the second year.</p>

<p>Only students who are willing to spend a minimum period of 4 months to a maximum of six months, without any break, would be eligible for the program.</p>

<p>How to Apply: Candidates interested in the above project dissertation program should apply online. Send your CV, Scanned copy of letter of recommendation from Head of Institution along with Registration form in the given format should be sent to: info@bicpgi.org</p>

<p>Please mention clearly “Project dissertation &amp; your Name” in the Subject.</p>

<p>The last date for application is December 23, 2015</p>

<p>Note: Selected candidates may please note that the program is free of cost and would not provide any financial aid for transport and stay. Name of the selected candidates would be posted on the centre website by December 31, 2015.</p>

<p>Incomplete applications will be rejected.</p>

<p>For more information visit our website: http://bic-pgi.org/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44595/squeezemeta-a-fully-automated-metagenomics-pipeline-from-reads-to-bins</guid>
	<pubDate>Sat, 06 Jul 2024 04:29:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44595/squeezemeta-a-fully-automated-metagenomics-pipeline-from-reads-to-bins</link>
	<title><![CDATA[SqueezeMeta: a fully automated metagenomics pipeline, from reads to bins]]></title>
	<description><![CDATA[<p dir="auto">SqueezeMeta is a full automatic pipeline for metagenomics/metatranscriptomics, covering all steps of the analysis. SqueezeMeta includes multi-metagenome support allowing the co-assembly of related metagenomes and the retrieval of individual genomes via binning procedures. Thus, SqueezeMeta features several unique characteristics:</p>
<ol dir="auto">
<li>Co-assembly procedure with read mapping for estimation of the abundances of genes in each metagenome</li>
<li>Co-assembly of a large number of metagenomes via merging of individual metagenomes</li>
<li>Includes binning and bin checking, for retrieving individual genomes</li>
<li>The results are stored in a database, where they can be easily exported and shared, and can be inspected anywhere using a web interface.</li>
<li>Internal checks for the assembly and binning steps inform about the consistency of contigs and bins, allowing to spot potential chimeras.</li>
<li>Metatranscriptomic support via mapping of cDNA reads against reference metagenomes</li>
</ol><p>Address of the bookmark: <a href="https://github.com/jtamames/SqueezeMeta" rel="nofollow">https://github.com/jtamames/SqueezeMeta</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25302/ra-bioinformatics-at-jamia-hamdard</guid>
  <pubDate>Sat, 28 Nov 2015 03:37:36 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at Jamia Hamdard]]></title>
  <description><![CDATA[
<p>Research Associate, Bioinformatics Facility<br />Jamia Hamdard - New Delhi, Delhi<br />Research Associate, Bioinformatics Facility, Jamia Hamdard.<br />Emoluments: Rs. 22,000 + HRA 30%<br />Qualification: PhD or equivalent or having 3 years of research, teaching and design and development experience after M. Pharm./M.VSc./M.E./M.Tech. PhD in life sciences and related areas with experience in Bioinformatics may apply. Company Info.<br />Jamia Hamdard</p>

<p>Jamia Hamdard New Delhi - 110062 Additional Information States &amp; U.T State &amp; Union Territories Delhi How To Apply Apply Details<br />Last date of application: December 5, 2015 Web/Notification URL http://www.jamiahamdard.ac.in/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38792/nxrepair-error-correction-in-de-novo-assemblies-using-nextera-mate-pair-reads</guid>
	<pubDate>Thu, 24 Jan 2019 10:35:12 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38792/nxrepair-error-correction-in-de-novo-assemblies-using-nextera-mate-pair-reads</link>
	<title><![CDATA[NxRepair: error correction in de novo assemblies using Nextera Mate Pair Reads]]></title>
	<description><![CDATA[<p>NxRepair is a python module that automatically detects large structural errors in de novo assemblies using Nextera mate pair reads. The decector will break a contig at the site of an identified misassembly and will generate a new fasta file containing both the corrected contigs and the correct, unaffected contigs.</p>
<p>https://nxrepair.readthedocs.io/en/latest/tutorial.html</p>
<div>
<div>
<div id="js-repo-pjax-container">
<div>
<div>
<div id="readme">
<div>
<div>
<pre>nxrepair aligned_matepairs.bam assemblyfasta.fasta error_locations.csv new_fasta.fasta</pre>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div>&nbsp;</div><p>Address of the bookmark: <a href="https://github.com/rebeccaroisin/nxrepair" rel="nofollow">https://github.com/rebeccaroisin/nxrepair</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44848/trust-but-verify-sequencing-your-cell-lines-might-reveal-an-uninvited-guest</guid>
	<pubDate>Wed, 04 Jun 2025 00:07:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44848/trust-but-verify-sequencing-your-cell-lines-might-reveal-an-uninvited-guest</link>
	<title><![CDATA[Trust But Verify: Sequencing Your Cell Lines Might Reveal an Uninvited Guest]]></title>
	<description><![CDATA[<p>High-throughput sequencing has become indispensable in cell biology, enabling detailed insights into chromatin structure, gene expression, and regulatory dynamics. Yet, when faced with unexpectedly low mapping rates to the human genome, researchers often rush to troubleshoot technical parameters&mdash;sequencer quality, adapter trimming, or aligner settings.</p><p>Before you go down that path, consider this critical biological question:<br /> <strong>Are you sequencing human cells&mdash;or bacterial contamination?</strong></p><h2>The Silent Saboteur: Mycoplasma in Cell Cultures</h2><p><em>Mycoplasma</em> contamination remains one of the most widespread and underdiagnosed issues in tissue culture work. Studies suggest that <strong>15&ndash;35% of cell lines in use may be contaminated</strong>, often without visible signs. Unlike other microbial infections, <em>Mycoplasma</em> does not produce cloudiness, odor, or a change in pH. Many researchers won&rsquo;t detect it unless they specifically test for it.</p><p>The consequences, however, are profound. <em>Mycoplasma</em> can significantly alter:</p><ul>
<li>
<p>Host gene expression patterns</p>
</li>
<li>
<p>Cell proliferation rates</p>
</li>
<li>
<p>Epigenetic profiles and chromatin accessibility</p>
</li>
<li>
<p>Cytokine signaling and immune responses</p>
</li>
</ul><p>In short, it can skew your results, compromise your biological conclusions, and invalidate weeks or months of research.</p><h2>A Simple Diagnostic Step: Map Against <em>Mycoplasma</em> Genomes</h2><p>If you encounter poor alignment rates to the human genome, consider mapping your reads to a <em>Mycoplasma</em> reference genome&mdash;or better yet, use a <strong>combined human + <em>Mycoplasma</em></strong> reference. There have been cases where over half of all reads, initially assumed to be from human cells, were in fact bacterial in origin. This check is fast, easy, and could save your project.</p><h2>How Contamination Happens&mdash;and Persists</h2><p><em>Mycoplasma</em> is small (0.1&ndash;0.3 &mu;m), lacks a cell wall, and can pass through standard filters undetected. Common sources include:</p><ul>
<li>
<p>Contaminated reagents (e.g., FBS)</p>
</li>
<li>
<p>Infected cell lines obtained from other labs</p>
</li>
<li>
<p>Poor aseptic technique or shared equipment</p>
</li>
</ul><p>Once present, it spreads quickly between cultures and can persist for months, silently affecting results.</p><h2>Why Treatment Is Difficult</h2><p>While antibiotics such as Plasmocin or BM-Cyclin are sometimes used, they often offer only partial resolution and may themselves alter cell behavior. In many cases, the best course of action is to <strong>discard the contaminated culture</strong> and start with a fresh, verified stock.</p><h2>Practical Recommendations for Researchers</h2><ul>
<li>
<p><strong>Routinely test for <em>Mycoplasma</em></strong> using PCR, qPCR, or fluorescence-based assays</p>
</li>
<li>
<p><strong>Incorporate contamination screens into your sequencing QC pipeline</strong></p>
</li>
<li>
<p><strong>Use combined reference genomes</strong> when mapping ambiguous reads</p>
</li>
<li>
<p><strong>Practice strict aseptic technique</strong> and monitor all incoming cell lines</p>
</li>
<li>
<p><strong>Don&rsquo;t ignore unexplained data anomalies</strong>&mdash;they might point to contamination</p>
</li>
</ul><h2>Closing Thought: Contamination Is a Biological Variable</h2><p>It&rsquo;s easy to view poor mapping as a technical issue, but sometimes the problem lies deeper&mdash;in the biology itself. <em>Mycoplasma</em> contamination doesn&rsquo;t just interfere with sequencing; it interferes with science. As a research community, we must treat contamination not as an afterthought, but as a key variable to control.</p><p>So next time your reads won&rsquo;t align, don&rsquo;t just tune the aligner. Ask if your cells are telling the truth&mdash;or if they're hiding something.</p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25504/uas-dharwad-assistant-professor</guid>
  <pubDate>Fri, 04 Dec 2015 21:06:23 -0600</pubDate>
  <link></link>
  <title><![CDATA[UAS Dharwad Assistant Professor]]></title>
  <description><![CDATA[
<p>UNIVERSITY OF AGRICULTURAL SCIENCES, DHARWAD</p>

<p>Applications are invited in the prescribed form for filling up the following posts of Teachers and Service Personnel from the candidates who are qualified as on the last date fixed for receipt of applications in the University of Agricultural Sciences, Dharwad.</p>

<p>I. ASSISTANT PROFESSOR CADRE (Scale of pay Rs.15600-39100 + AGP Rs. 6000) (UGC / ICAR pay-scales)</p>

<p>I. Re-notified posts:</p>

<p>9. Assistant Professor of Bioinformatics 1 GM-1</p>

<p>More Info : https://sites.google.com/a/uasd.in/recruitment/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38747/seqkit-a-cross-platform-and-ultrafast-toolkit-for-fastaq-file-manipulation</guid>
	<pubDate>Sun, 20 Jan 2019 06:18:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38747/seqkit-a-cross-platform-and-ultrafast-toolkit-for-fastaq-file-manipulation</link>
	<title><![CDATA[SeqKit - a cross-platform and ultrafast toolkit for FASTA/Q file manipulation]]></title>
	<description><![CDATA[<p><span>FASTA and FASTQ are basic and ubiquitous formats for storing nucleotide and protein sequences. Common manipulations of FASTA/Q file include converting, searching, filtering, deduplication, splitting, shuffling, and sampling. Existing tools only implement some of these manipulations, and not particularly efficiently, and some are only available for certain operating systems. Furthermore, the complicated installation process of required packages and running environments can render these programs less user friendly.</span></p><p>Address of the bookmark: <a href="https://bioinf.shenwei.me/seqkit/usage/" rel="nofollow">https://bioinf.shenwei.me/seqkit/usage/</a></p>]]></description>
	<dc:creator>BioJoker</dc:creator>
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