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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/21703?offset=880</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/2425/phd-fellowship-computational-biologybioinformatics-cork-ireland-cork-ireland</guid>
  <pubDate>Thu, 15 Aug 2013 14:09:00 -0500</pubDate>
  <link></link>
  <title><![CDATA[Ph.D. Fellowship (Computational Biology/Bioinformatics) : Cork, Ireland : Cork, Ireland]]></title>
  <description><![CDATA[
<p>Ph.D. Fellowship (18,000 euro/pa, plus tuition fees at the EU students rate) is available for four years to work on development of Bioinformatics resources for the analysis and visualization of ribosome profiling data. Ribosome profiling (ribo-seq) is a technology that allows mapping positions of the ribosomes on the whole transcriptome level with a nucleotide precision. The technology allows obtaining high resolution digital snapshots of gene expression in cells. The position is available starting on the 1st of October, 2013.</p>

<p>Candidate:<br />The candidate is expected to have B.S. or M.S. degree in the disciplines such as Computer Science, Statistics, Applied Mathematics, Physics or Electrical Engineering. The candidates with the backgrounds in Life Science disciplines such as Bioinformatics, Computational or Quantitative Biology will also be considered.</p>

<p>Location:<br />The position is available at LAPTI (http://lapti.ucc.ie) that is located in the Western Gate Building (http://www.stwarchitects.com/project-information.php?c=1&amp;p=09993) at University College Cork. Western Gate Building Research Complex hosts several UCC departments and provides ideal environment for interdisciplinary research. Cork (sometimes referenced as “Venice of Ireland”) is the second most populous city in the Republic. It has friendly cosmopolitan atmosphere and vibrant culture. A number of American industrial giants such as Apple , EMC and Pfizer have chosen Cork as a home for their European headquarters.</p>

<p>Application process:<br />The details of the application process are given at http://lapti.ucc.ie/jobs.html. To ensure prompt processing of your application use the subject line: ‘Ph.D. computational’. All applications received prior to August the 1st are guaranteed equal consideration. However, applications at the later dates will also be considered until the position is filled.</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36197/bioinformatics-oneliner</guid>
	<pubDate>Tue, 10 Apr 2018 04:13:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36197/bioinformatics-oneliner</link>
	<title><![CDATA[Bioinformatics OneLiner]]></title>
	<description><![CDATA[<p>To remove all line ends (\n) from a Unix text file:</p><pre>sed ':a;N;$!ba;s/\n//g' filename.txt &gt; newfilename_oneline.txt</pre><p>To get average for a column of numbers (here the second column $2):</p><pre>awk '{ sum += $2; n++ } END { if (n &gt; 0) print sum / n; }'</pre><p>To get sequence length for all sequences in a fasta file:</p><pre>awk '/^&gt;/ {if (seqlen){print seqlen}; print ;seqlen=0;next; } { seqlen = seqlen +length($0)}END{print seqlen}' \<br />filename.fasta</pre><p>To copy (move, rename, etc) files based on their list in a text file:</p><pre>cat file_list.txt | while read line; do cp "$line" complete_dataset/"$line"; done</pre><p>To split bam files into sets with mapped and unmapped reads:</p><pre>samtools view -F4 sample.bam &gt; sample.mapped.sam<br />samtools view -f4 sample.bam &gt; sample.unmapped.sam</pre><p>To gzip all your fastq files using gnu parallel and gzip:</p><pre>parallel gzip ::: *.fastq</pre><p>To gzip all your fastq files using pigz:</p><pre>pigz *.fastq</pre><p>To count all sequences in a fasta file:</p><pre>grep "^&gt;" yourfile.fasta -c</pre><p>To count all sequences in all fasta files in your current directory:</p><pre>for a in *.fasta; do ls $a; grep "^&gt;" -c $a; done</pre><p>To keep only one copy of duplicated lines:</p><pre>awk '!seen[$0]++'</pre><p>To sum assembly size from SPAdes contigs.fasta or scaffolds.fasta file:</p><pre>grep "^&gt;" scaffolds.fasta | cut -f 4 -d '_' | paste -sd+ | bc</pre><p>To remove everything after the first space at each line, e.g. to to simplify fasta headers:</p><pre>cut -d' ' -f1 &lt; your_file</pre><p>To count reads in a all .fastq.gz files in your current folder (fast, using gnu parallel):</p><pre>parallel "echo {} &amp;&amp; gunzip -c {} | wc -l | awk '{d=\$1; print d/4;}'" ::: *.gz</pre><p>To count reads in a all .fastq.gz files in your current folder:</p><pre>zcat *.gz | echo $((`wc -l`/4))</pre><p>To count reads in a all .fastq files in your current folder:</p><pre>cat *.fastq | echo $((`wc -l`/4))</pre><p>To count base pairs in a all .fastq.gz files in your current folder:</p><pre>zcat *.fastq.gz | paste - - - - | cut -f 2 | tr -d '\n' | wc -c </pre><p>To split multifasta file into many fasta files:</p><pre>awk '/^&gt;/ {OUT=substr($0,2) ".fa"}; {print &gt;&gt; OUT; close(OUT)}' Input_File</pre><p>To convert Illumina FASTQ 1.3 to 1.8:</p><pre>sed -e '4~4y/@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghi/!"#$%&amp;'\''()*+,-.\/0123456789:;&lt;=&gt;?@ABCDEFGHIJ/' f.fastq</pre><p>To convert FASTQ to FASTA:</p><pre>sed -n '1~4s/^@/&gt;/p;2~4p' </pre><p>To get fastq read length distribution:</p><pre>cat reads.fastq | awk '{if(NR%4==2) print length($1)}' | sort | uniq -c</pre><p>To deinterleave interleaved fastq file:</p><pre>cat myf.fq | paste - - - - - - - - | tee &gt;(cut -f 1-4 | tr "\t" "\n" &gt; myfile_1.fq) | cut -f 5-8 | \<br />tr "\t" "\n" &gt; myf2.fq </pre><p>To filter and sort contig identifiers from SPAdes assembly (e.g. here lenght &gt;= 4000 + coverage &gt;=100):</p><pre>grep "^&gt;" scaffolds.fasta | sed s"/_/ /"g | awk '{ if ($4 &gt;= 4000 &amp;&amp; $6 &gt;= 100) print $0 }' | sort -k 4 -n | \<br />sed s"/ /_/"g</pre><p>To append something to all headers of your fasta files:</p><pre>sed 's/&gt;.*/&amp;YOURSTRING/' filename.fasta &gt; new_filename.fasta</pre><p>To replace/squeeze multiple adjacent spaces by only one space:&nbsp;</p><pre>tr -s " " &lt; file</pre><p>To filter fastq based on length (here larger than or equal to 21, but smaller than or equal to 25.</p><pre>cat your.fastq | paste - - - - | awk 'length($2)&nbsp; &gt;= 21 &amp;&amp; length($2) &lt;= 25' | sed 's/\t/\n/g' &gt; filtered.fastq</pre><p>To print difference between the last and first row in 5th column:</p><pre>awk '{if (!first){first=$5;}; last=$5;} END {print last-first}' myfile.txt</pre><p>To sample only 200 first bases from all sequences in a multifasta file (e.g. from assembly scaffolds.fasta file here):</p><pre>awk '/^&gt;/{ seqlen=0; print; next; } seqlen &lt; 200 { if (seqlen + length($0) &gt; 200) $0 = substr($0, 1, 200-seqlen);\<br /> seqlen += length($0); print }' scaffolds.fasta &gt; 200bp_scaffolds.fasta</pre><p>&nbsp;To pipe a compressed fasta file directly into makeblastdb.</p><pre>gunzip -c fasta.gz | makeblastdb -in -</pre><p>To remove sequences with duplicate fasta headers from a fasta file.</p><pre>awk '/^&gt;/{f=!d[$1];d[$1]=1}f' in.fasta &gt; out.fasta</pre>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/2336/3rd-annual-next-generation-sequencing-asia-congress-2013-at-singapore-singapore</guid>
  <pubDate>Wed, 14 Aug 2013 09:55:04 -0500</pubDate>
  <link></link>
  <title><![CDATA[3rd Annual Next Generation Sequencing Asia Congress 2013 at Singapore, Singapore]]></title>
  <description><![CDATA[
<p>The 3rd Annual Next Generation Sequencing Asia Congress is to be held on the 22nd and 23rd of October 2013 in Singapore. Over the 2 days, the conference will provide an overview of the current options of next-generation sequencing platforms, technologies, applications and the newest computational tools for the analysis of next-generation sequencing data and analytical genomics as well as overcoming data management problems. The event will attract over 200 senior-level decision makers working in areas such as next generation sequencing, analytical genomics, computational biology, oncology, RNA profiling, molecular genomics, biomarkers, bioinformatics &amp; data management and clinical &amp; diagnostics development.</p>

<p>Dated : 22 Nov 2013 -23 Nov 2013</p>

<p>http://www.ngsasia-congress.com/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36384/binding-site-prediction-in-protein</guid>
	<pubDate>Wed, 25 Apr 2018 04:35:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36384/binding-site-prediction-in-protein</link>
	<title><![CDATA[Binding Site Prediction in Protein !]]></title>
	<description><![CDATA[<p><span>The interaction between proteins and other molecules is fundamental to all biological functions. In this section we include tools that can assist in prediction of interaction sites on protein surface and tools for predicting the structure of the intermolecular complex formed between two or more molecules (docking).</span></p><h4>Pockets Identification</h4><p><a href="http://sts.bioengr.uic.edu/castp/" target="_blank">CASTp</a></p><div style="text-align: justify;">Automatic Identification of pockets and cavities in proteins structure, and quantitation of their volumes using Delaunay triangulation. Available also as PyMOL plugin</div><p><a href="http://www.bioinformatics.leeds.ac.uk/pocketfinder/" target="_blank">Pocket-Finder</a></p><div style="text-align: justify;">Automatic identification of pockets and cavities in proteins structure, and quantitation of their volumes.</div><p><a href="http://gecco.org.chemie.uni-frankfurt.de/pocketpicker/index.html" target="_blank">PocketPicker</a></p><div style="text-align: justify;">Grid-based technique for the analysis of protein pockets. PocketPicker available as a plugin for&nbsp;<a href="https://bip.weizmann.ac.il/toolbox/structure/pymol.htm">PyMOL</a></div><div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;"><h4>Binding Site Prediction</h4>
<p><a href="http://consurf.tau.ac.il/" target="_blank">ConSurf</a></p>
</div><div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;">Identification of functional regions in proteins by surface-mapping of phylogenetic information</div><div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;"><a href="http://www-cryst.bioc.cam.ac.uk/~crescendo/crescendo.php" target="_blank">CRESCENDO</a></div><div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;">Identification protein interaction sites. It uses sequence conservation patterns in homologous proteins to distinguish between residues that are conserved due to structural restraints from those due to functional restraints.&nbsp;&nbsp;</div><div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;"><strong>Ligand Binding Sites</strong></div><div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;"><a href="http://www.sbg.bio.ic.ac.uk/~3dligandsite/" target="_blank">3DLigandSite</a></div><div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;">The server utilizes protein-structure prediction to provide structural models of the binding site. Ligands bound to structures are superimposed onto the model and use to predict the binding site.</div><div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;">F<a href="http://cssb.biology.gatech.edu/skolnick/files/FINDSITE/" target="_blank">INDSITE</a></div><div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;">A threading-based method for ligand-binding site prediction and functional annotation based on binding-site similarity across superimposed groups of threading templates.</div><div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;">
<p><a href="http://scoppi.biotec.tu-dresden.de/pocket/" target="_blank">LIGSITE<sup>csc</sup></a></p>
<div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;">Prediction of binding site by pocket identification using the Connolly surface and degree of conservation</div>
<p><a href="http://metapocket.eml.org/" target="_blank"></a></p>
</div><div style="text-align: justify;">&nbsp;</div><div style="text-align: justify;"><a href="http://metapocket.eml.org/" target="_blank">metaPocket</a>A meta server for ligand-binding site prediction. metaPocket use&nbsp;<a href="https://bip.weizmann.ac.il/toolbox/structure/binding.htm#ligsite">LIGSITE<sup>csc</sup></a>,&nbsp;<a href="https://bip.weizmann.ac.il/toolbox/structure/binding.htm#pass">PASS</a>,&nbsp;<a href="https://bip.weizmann.ac.il/toolbox/structure/binding.htm#qsite">Q-SiteFinder</a>&nbsp;and&nbsp;<a href="http://www.biochem.ucl.ac.uk/~roman/surfnet/surfnet.html" target="_blank">SURFNET</a></div>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/2383/golden-rules-of-bioinformatics</guid>
	<pubDate>Wed, 14 Aug 2013 21:11:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/2383/golden-rules-of-bioinformatics</link>
	<title><![CDATA[Golden Rules of Bioinformatics]]></title>
	<description><![CDATA[<ol>
<li>All constant are variable.</li>
<li>Copy and paste is a genetic error.</li>
<li>First solve the problem, then write the code.</li>
<li>No matter what goes wrong, it will probably look right.</li>
<li>Any simple problem can be insoluble if enough metting are held to discuss it. :P</li>
<li>Stastics is a systematic method of comming to the wrong conclusion with confidence.</li>
<li>Bug is a undocumented feature in programming languages.</li>
<li>Good biological programmer goes on summer holiday with raincoat. [because see 1]</li>
<li>Thanks god Google know python is not a python and multiplication and division are the same thing.</li>
<li>Don' be clever, complex biology will trick you.</li>
</ol>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2461/taverna-workflow-management-system</guid>
	<pubDate>Thu, 15 Aug 2013 19:34:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2461/taverna-workflow-management-system</link>
	<title><![CDATA[Taverna Workflow Management System]]></title>
	<description><![CDATA[<p>Taverna is an open source domain independent Workflow Management System &ndash; a suite of tools used to design and execute scientific workflows. Taverna has been created by the myGrid project and is funded through a range of organisations and projects.</p>
<p>The Taverna suite is written in Java and includes the Taverna Engine(used for enacting workflows) that powers both the Taverna Workbench(the desktop client application) and the Taverna Server (which allows remote execution of workflows). Taverna is also available as a Command Line Tool for a quick execution of workflows from a terminal.</p><p>Address of the bookmark: <a href="http://www.taverna.org.uk/" rel="nofollow">http://www.taverna.org.uk/</a></p>]]></description>
	<dc:creator>Madhvan Reddy</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/38302/senior-bioinformatics-scientist-at-elucidata</guid>
  <pubDate>Tue, 27 Nov 2018 04:05:57 -0600</pubDate>
  <link></link>
  <title><![CDATA[Senior Bioinformatics Scientist at Elucidata]]></title>
  <description><![CDATA[
<p>Key Responsibilities <br />- Process and analyse metabolomic, transcriptional, genomics, proteomics <br />and any other kind of biological data. <br />- Interpret the data in the context of relevant biological literature to generate <br />actionable insights. <br />- Communicate the findings from data and literature to biologists and use the <br />biological insights to derive next steps/analyses. <br />- Communicate work through blogs, meet-ups, research papers, posters, etc. <br />- Identify, troubleshoot, and implement improvements to existing pipelines <br />and algorithms. <br />- Identify and implement new tools and pipelines to use for different types of <br />biological data. <br />- Work in a multi-disciplinary team with biologists, data scientists and data <br />analysts. <br />- Help with any other requirements (from database design to generating <br />prototypes for the product team).</p>

<p>Requirements <br />- 3-5 years of relevant bioinformatics experience such as public data mining, <br />processing, analysing and visualising omics data, etc. <br />- Ph.D., Masters or Bachelors in Bioinformatics, Biotechnology, <br />Computational Biology, or related field. <br />- Understanding of molecular biology and biochemistry. <br />- Comfort and experience with biological research and data. <br />- Proficient in a programming language used for bioinformatics such as R or <br />python. <br />- Excellent communication skills. <br />- Ability to summarise and simplify complex analyses for a non-technical <br />audience. <br />- Strong analytical skills, curiosity and a knack to solve difficult problems. <br />- Work well in multi-disciplinary teams with people of vastly different <br />backgrounds. <br />- Demonstrated success in collaboration and independent work.</p>

<p>More at https://angel.co/elucidata/jobs/460104-senior-bioinformatics-scientist</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/2646/bioinformatics-infrastructure-facility-bif-gargi-college-university-of-delhi-traineeship</guid>
  <pubDate>Mon, 19 Aug 2013 18:43:03 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Infrastructure Facility (BIF), Gargi College, University of Delhi @ Traineeship]]></title>
  <description><![CDATA[
<p>Gargi College was established in the year 1967 and is a leading South Campus college of the University of Delhi. It is a college for women and offers education in Arts and Humanities, Commerce, Science and Education.</p>

<p>Gargi believes in its mission statement that every student who passes through the portals of the college emerges as a wholly developed individual symbolizing the spirit of enterprise and inquiry that characterizes Gargi.</p>

<p>Bioinformatics Infrastructure Facility (BIF), Gargi College, University of Delhi invites candidates for filling up the following purely temporary positions sponsored by DBT, New Delhi.</p>

<p>1. Name of the post: Traineeship<br />Essential Qualification: Post Graduate degree in Bioinformatics or any other branch of Life Sciences preferably with dissertation in Bioinformatics.<br />Desirable Qualification: Prior knowledge of programming languages such as C, VB, SQL etc. and software/database development.</p>

<p>2. Name of the post: Research Associate<br />Essential Qualification: PhD in Bioinformatics/Biological Sciences/Computer Science or allied sciences with proven experience in bioinformatics.</p>

<p>3. Name of the post: Studentship<br />Essential Qualifications: Final year Post Graduate students pursuing a degree in Bioinformatics or any branch of Life Science with knowledge of bioinformatics.</p>

<p>How to apply:<br />Interested candidates are required to appear for the walk in interview on 29th Aug, 2013 at 10.00 AM in Principal’s Office, Gargi College, Sirifort Road, N. Delhi-110049, with their CVs, original documents and a set of Photostat copies of all original documents.</p>

<p>http://www.du.ac.in/fileadmin/DU/students/Pdf/du/advt/2013/16082013_Gargi_RAplus2_Advt.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/39025/binc-exam-merged-with-dbt-bet-jrf-exam</guid>
	<pubDate>Thu, 21 Feb 2019 09:37:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/39025/binc-exam-merged-with-dbt-bet-jrf-exam</link>
	<title><![CDATA[BINC Exam merged with DBT- BET JRF Exam]]></title>
	<description><![CDATA[<p>Another breaking news received has been received from the Department of biotechnology &ndash; DBT. As per a notification released by DBT, Bioinformatics National Certification (BINC) Exam conducted once per year by DBT has been now merged with DBT- BET JRF Exam.</p><p>Also, Bioinformatics Industrial Training Program (BIITP) is merged with the HRD Biotechnology Industrial Training Programme (BITP).</p><p>While this comes as a surprise for a lot of participants. We believe this is a good attempt to unify and create a national benchmark for talent. And we appreciate this endeavor from Department of biotechnology.</p><p>However, such last-minute announcements can create confusion. Thus candidates are advised to go through the complete notification DBT-BET JRF 2019 via the link below.If you have any kind of doubts, you must contact DBT JRF or Biotecnika for any kind of help &amp; assistance.</p><p><br />Attention:-Bioinformatics Programs (BINC and BIITP)</p><p>1. Bioinformatics National Certification (BINC) has been merged with DBT-Junior<br />Research Fellow (BET Exam)</p><p>2. Bioinformatics Industrial Training Program (BIITP) is merged with HRDBiotechnology Industrial Training Programme (BITP).</p><p>Students of Bioinformatics, who are interested to apply for Fellowship or Industrial<br />Training may keep track of the advertisement of DBT-JRF (BET Exam) and BITP<br />of DBT.</p><p>&nbsp;More at&nbsp;http://www.bcil.nic.in/files/Attention_Bioinformatics_Programs_(BINC_and_BIITP).pdf</p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4193/bioinformatics-101-running-blast</guid>
	<pubDate>Tue, 03 Sep 2013 14:59:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4193/bioinformatics-101-running-blast</link>
	<title><![CDATA[Bioinformatics 101 -  Running BLAST]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/CYnjROfGXv8" frameborder="0" allowfullscreen></iframe>How to format the database for BLAST, run the command, view the output file, and use BioPerl and Perl to parse the output. By David Francis, Ohio State University. Delivered live at the Tomato Disease Workshop 2010. For more information, please visit http://www.extension.org/pages/32521/bioinformatics-101-video.]]></description>
	
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