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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31300?offset=1260</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36960/links-scaffolder-bloomfilter-setting</guid>
	<pubDate>Fri, 15 Jun 2018 10:39:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36960/links-scaffolder-bloomfilter-setting</link>
	<title><![CDATA[LINKS scaffolder bloomfilter setting !]]></title>
	<description><![CDATA[
<p>➜  bin git:(master) ✗ ls -l<br />total 68<br />drwxrwxr-x 3 urbe urbe  4096 Jun 15 12:15 lib<br />-rwxrwxrwx 1 urbe urbe 65141 Jun 15 17:13 LINKS<br />➜  bin git:(master) ✗ pwd<br />/home/urbe/Tools/LINKS_1.8.6/bin</p>

<p>➜  bloomfilter git:(master) ✗ swig -Wall -c++ -perl5 BloomFilter.i<br />➜  bloomfilter git:(master) ✗ g++ -c BloomFilter_wrap.cxx -I/home/urbe/anaconda3/lib/perl5/5.22.0/x86_64-linux-thread-multi/CORE/ -fPIC -Dbool=char -O3<br />BloomFilter_wrap.cxx:1892:30: fatal error: ../BloomFilter.hpp: No such file or directory<br />compilation terminated.<br />➜  bloomfilter git:(master) ✗ cd swig <br />➜  swig git:(master) ✗ g++ -c BloomFilter_wrap.cxx -I/home/urbe/anaconda3/lib/perl5/5.22.0/x86_64-linux-thread-multi/CORE/ -fPIC -Dbool=char -O3<br />In file included from BloomFilter_wrap.cxx:1877:0:<br />../BloomFilter.hpp: In member function ‘void BloomFilter::loadHeader(FILE*)’:<br />../BloomFilter.hpp:141:59: warning: ignoring return value of ‘size_t fread(void*, size_t, size_t, FILE*)’, declared with attribute warn_unused_result [-Wunused-result]<br />         fread(&amp;header, sizeof(struct FileHeader), 1, file);<br />                                                           ^<br />➜  swig git:(master) ✗ g++ -Wall -shared BloomFilter_wrap.o -o BloomFilter.so -O3<br />➜  swig git:(master) ✗ cd ..<br />➜  bloomfilter git:(master) ✗ cd ..<br />➜  lib git:(master) ✗ cd ..<br />➜  bin git:(master) ✗ ./LINKS  <br />Usage: ./LINKS [v1.8.6]<br />-f  sequences to scaffold (Multi-FASTA format, required)<br />-s  file-of-filenames, full path to long sequence reads or MPET pairs [see below] (Multi-FASTA/fastq format, required)<br />-m  MPET reads (default -m 1 = yes, default = no, optional)<br />	! DO NOT SET IF NOT USING MPET. WHEN SET, LINKS WILL EXPECT A SPECIAL FORMAT UNDER -s<br />	! Paired MPET reads in their original outward orientation &lt;- -&gt; must be separated by ":"<br />	  &gt;template_name<br />	  ACGACACTATGCATAAGCAGACGAGCAGCGACGCAGCACG:ATATATAGCGCACGACGCAGCACAGCAGCAGACGAC<br />-d  distance between k-mer pairs (ie. target distances to re-scaffold on. default -d 4000, optional)<br />	Multiple distances are separated by comma. eg. -d 500,1000,2000,3000<br />-k  k-mer value (default -k 15, optional)<br />-t  step of sliding window when extracting k-mer pairs from long reads (default -t 2, optional)<br />	Multiple steps are separated by comma. eg. -t 10,5<br />-o  offset position for extracting k-mer pairs (default -o 0, optional)<br />-e  error (%) allowed on -d distance   e.g. -e 0.1  == distance +/- 10% (default -e 0.1, optional)<br />-l  minimum number of links (k-mer pairs) to compute scaffold (default -l 5, optional)<br />-a  maximum link ratio between two best contig pairs (default -a 0.3, optional)<br />	 *higher values lead to least accurate scaffolding*<br />-z  minimum contig length to consider for scaffolding (default -z 500, optional)<br />-b  base name for your output files (optional)<br />-r  Bloom filter input file for sequences supplied in -s (optional, if none provided will output to .bloom)<br />	 NOTE: BLOOM FILTER MUST BE DERIVED FROM THE SAME FILE SUPPLIED IN -f WITH SAME -k VALUE<br />	 IF YOU DO NOT SUPPLY A BLOOM FILTER, ONE WILL BE CREATED (.bloom)<br />-p  Bloom filter false positive rate (default -p 0.001, optional; increase to prevent memory allocation errors)<br />-x  Turn off Bloom filter functionality (-x 1 = yes, default = no, optional)<br />-v  Runs in verbose mode (-v 1 = yes, default = no, optional)</p>

<p>Error: Missing mandatory options -f and -s.</p>

<p>ERROR fixed</p>

<p>perl: symbol lookup error: /home/urbe/Tools/LINKS_new/bin/./lib/bloomfilter/swig/BloomFilter.so: undefined symbol: Perl_Gthr_key_ptr</p>
]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6577/scientist-b-vector-control-research-centre</guid>
  <pubDate>Tue, 19 Nov 2013 21:19:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist-B @ VECTOR CONTROL RESEARCH CENTRE]]></title>
  <description><![CDATA[
<p>VECTOR CONTROL RESEARCH CENTRE<br />(Indian Council of Medical Research)<br />Indira Nagar Medical Complex<br />Puducherry-605006</p>

<p>WALK-IN-INTERVIEW</p>

<p>The following vacancies shall be filled purely on adhoc basis under Non-Institutional adhoc project “Bioinformatics in ICMR Institutes” funded by Indian Council of Medical Research at Vector Control Research Centre, Puducherry, to be renewed annually and filled through Walk-in-Interview as indicated below. Candidates who wish to appear for the Walk-in-Interview can download the application format given in the website of Vector Control Research Centre (www.vcrc.res.in). Duly filled in application along with attested copies of certificate should be submitted at time of interview.</p>

<p>Date &amp; Time : 05.12.2013 at 9.00 AM – Scientist-C (Non-Medical)</p>

<p>05.12.2013 at 1.30 PM – Scientist-B (Non-Medical)<br />06.12.2013 at 9.00 AM – Technical Assistant (Research Assistant)<br />06.12.2013 at 1.30 PM – Multi Tasking Staff (General)</p>

<p>Place : Vector Control Research Centre, Puducherry</p>

<p>Project entitled : Biomedical Informatics Centres of ICMR</p>

<p>1. Scientist - C (Non-Medical) Number of post – ONE</p>

<p>Essential qualification</p>

<p>B.E./ B. Tech. Degree in Bioinformatics/ Computational Biology from a recognized University with 6 years experience in the relevant field  OR</p>

<p>First class Master’s Degree and Ph.D. Degree in Bioinformatics/ Computational Biology from a recognized University OR</p>

<p>First class Master’s Degree in Bioinformatics/ Computational Biology from a recognized University with 4 years R &amp; D experience in the related subjects as mentioned above OR</p>

<p>Second class Master’s Degree + Ph.D. in Bioinformatics/ Computational Biology from a recognized University with 4 years research experience in bio-medical subjects</p>

<p>Age: Not exceeding 40 years Consolidated Salary – Rs.39,960/- p.m. + HRA as<br />admissible </p>

<p>Desirable qualification (i) Post-doctorate in Bioinformatics/ Computational Biology or M.E. / M. Tech. Degree in Bioinformatics/ Computational Biology from a recognized University for candidates with First Class relevant degree.</p>

<p>(ii) Additional post-doctoral research / teaching experience in Bioinformatics/Computational Biology in recognized Institute(s).</p>

<p>(iii) Knowledge of computer applications or data management</p>

<p>Job requirements i) To apply Bioinformatics / Computational Biology tools in understanding interactions between vectors and parasites/ pathogens and target based development of drug / insecticides.</p>

<p>ii) To assist the investigators to carry out genomic studies on parasites/pathogens/vectors of vector borne diseases</p>

<p>Advertisement: http://vcrc.res.in/Adv_Bio13.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/37396/converting-a-vcf-into-a-fasta-given-some-reference</guid>
	<pubDate>Fri, 20 Jul 2018 10:03:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/37396/converting-a-vcf-into-a-fasta-given-some-reference</link>
	<title><![CDATA[Converting a VCF into a FASTA given some reference !]]></title>
	<description><![CDATA[<p>Samtools/BCFtools (Heng Li) provides a Perl script&nbsp;<a href="https://github.com/lh3/samtools/blob/master/bcftools/vcfutils.pl"><code>vcfutils.pl</code></a>&nbsp;which does this, the function&nbsp;<code>vcf2fq</code>&nbsp;(lines 469-528)</p><p>This script has been modified by others to convert InDels as well, e.g.&nbsp;<a href="https://github.com/gringer/bioinfscripts/blob/master/vcf2fq.pl">this</a>&nbsp;by David Eccles</p><pre><code><span>./</span><span>vcf2fq</span><span>.</span><span>pl </span><span>-</span><span>f </span><span>&lt;</span><span>input</span><span>.</span><span>fasta</span><span>&gt;</span><span> </span><span>&lt;</span><span>all</span><span>-</span><span>site</span><span>.</span><span>vcf</span><span>&gt;</span><span> </span><span>&gt;</span><span> </span><span>&lt;</span><span>output</span><span>.</span><span>fastq</span><span>&gt;</span></code></pre><p>https://github.com/gringer/bioinfscripts/blob/master/vcf2fq.pl</p><p>https://github.com/lh3/samtools/blob/master/bcftools/vcfutils.pl</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6836/research-fellow-mendel-laboratory</guid>
  <pubDate>Tue, 26 Nov 2013 00:07:57 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Fellow @ Mendel laboratory]]></title>
  <description><![CDATA[
<p>IRCCS Casa Sollievo della Sofferenza – Mendel laboratory is seeking one talented bioinformatician (Rome)<br />Start date: immediate</p>

<p>Duration: 1 year</p>

<p>Funding Source: Institutional<br />Salary on grant: B2 (€ 22.000/year gross)<br />Contact Person (Referent): Tommaso Mazza<br />Ref. E-Mail: t.mazza@css-mendel.it<br />Tel: +39 06 44160526<br />Fax: +39 06 44160548</p>

<p>Job Description: The bioinformatics unit at IRCCS Casa Sollievo della Sofferenza - Mendel laboratory in Rome is looking for one young PhD bioinformatician with specific experience and/or interest in the analysis of transcriptomic data.</p>

<p>The candidate will be mainly in charge of developing research on a range of hot applications and projects, dealing with microarrays, RNA-Seq and miRNA-Seq data. Main activities will be: (i) data analysis (short-reads mapping, variants call and annotation, functional enrichment analysis of gene expression data); (ii) networks analysis and simulation (artificial knockout, redundancy and lethality analysis, gene set essentiality); (iii) developing of ad-hoc software solutions/routines on clusters of CPUs and GPUs.</p>

<p>The correct cultural background (training in Biology / Computer Science / Statistics or a mix of the three) and a strong interest in working with high throughput data analysis will be considered at the same level of specific experience in the above-mentioned fields.<br />Knowledge of molecular modeling and simulation and one of these languages: python, perl, R, Java, C++, C# is a golden plus. Good knowledge of Scientific English will be positively evaluated for this position, together with good presentation and teamwork skills.</p>

<p>A CV with one professional reference, details on educational background and of the biological and/or bioinformatic and/or data analysis skills and experience should be sent by email for a preliminary selection to: Tommaso Mazza, CSS-Mendel: t.mazza@css-mendel.it</p>

<p>Context<br />Casa Sollievo della Sofferenza is an Institute for hospitalization, care, and scientific research located in San Giovanni Rotondo, Italy. It integrates clinical assistance (with inpatient and outpatient facilities) and research. It has an affiliate institute, CSS-Mendel, located in Rome. Between the two sites, it employs over 100 researchers who focus on genetics. The Center is equipped with state of the art genomics technology (SOLiD 5500XL next generation sequencer, Illumina MiSeq, Affymetrix/Agilent microarray platforms, etc) as well as a dedicated high performance computing facility, a non-conventional workstation of GPUs and a short- and long-term storage disk.</p>

<p>Applications<br />Candidates should send:<br />• a cover letter explaining the role they would like to undertake within the Center, even if it is not listed in this job adv, stating clearly why they would be a good fit to the proposed role, and what they would bring to the Center in terms of expertise, ideas, talent;<br />• a CV including a list of publications;<br />• List of referees;</p>

<p>More at http://www.css-mendel.it/</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37650/p-rna-scaffolder-a-fast-and-accurate-genome-scaffolder-using-paired-end-rna-sequencing-reads</guid>
	<pubDate>Fri, 07 Sep 2018 05:19:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37650/p-rna-scaffolder-a-fast-and-accurate-genome-scaffolder-using-paired-end-rna-sequencing-reads</link>
	<title><![CDATA[P_RNA_scaffolder: a fast and accurate genome scaffolder using paired-end RNA-sequencing reads]]></title>
	<description><![CDATA[<p><span>P_RNA_scaffolder is a novel scaffolding tool using Pair-end RNA-seq to scaffold genome fragments. The method is suitable for most genomes. The program could utilize Illumina Paired-end RNA-sequencing reads from target speciesies. Our method provides another practical alternative to existing mate-pair_based approaches or other Protein-based approaches (for instance,&nbsp;</span><a href="http://www.fishbrowser.org/software/PEP_scaffolder/">PEP_scaffolder&nbsp;</a><span>) for scaffolding genome sequences. The most important feature of this method is to improve the completeness of gene regions and long-coding gene regions (for instance,&nbsp;</span><a href="http://circrna.org/">circRNA</a><span>).</span></p><p>Address of the bookmark: <a href="http://www.fishbrowser.org/software/P_RNA_scaffolder/#" rel="nofollow">http://www.fishbrowser.org/software/P_RNA_scaffolder/#</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/7212/bioinformatics-group-at-boku-university</guid>
  <pubDate>Thu, 12 Dec 2013 17:53:10 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics group at Boku University]]></title>
  <description><![CDATA[
<p>The Bioinformatics group at Boku University has two main areas of interest, underpinning a common goal, the study of complex systems in living organisms. To overcome the engineered redundancies and combinatorial effects prevalent in higher eukaryotes, novel views augmenting the classical gene by gene approaches are required. We combine</p>

<p>1. Work to establish improved quantitative experimental assays (such as microarrays or differential in-gel electrophoresis) and<br />2. Development of modern computational methods (such as hierarchical probabilistic models or integration of heterogeneous data sources)</p>

<p>Lab page @ http://bioinf.boku.ac.at/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38006/scribl-html5-canvas-genomics-graphic-library</guid>
	<pubDate>Thu, 25 Oct 2018 09:38:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38006/scribl-html5-canvas-genomics-graphic-library</link>
	<title><![CDATA[Scribl : HTML5 canvas genomics graphic library]]></title>
	<description><![CDATA[<p>Scribl is a javascript, Canvas-based graphics library that easily generates biological visuals of genomic regions, alignments, and assembly data. Scribl can also be used in conventional offline pipelines, since everything needed to generate charts can be contained in a single html file.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://chmille4.github.io/Scribl/" rel="nofollow">http://chmille4.github.io/Scribl/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/7216/free-math-books</guid>
	<pubDate>Thu, 12 Dec 2013 19:38:34 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/7216/free-math-books</link>
	<title><![CDATA[Free math books]]></title>
	<description><![CDATA[<p>Bioinformatics require some match skills, therefore I decided to provide this wonderful math eBooks links to the BOL community.</p>
<p>Please add ur links/bookmarks in comment section.</p><p>Address of the bookmark: <a href="http://physicsdatabase.com/free-math-books/" rel="nofollow">http://physicsdatabase.com/free-math-books/</a></p>]]></description>
	<dc:creator>Manisha Mishra</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38053/swgis-v20-a-seqword-genomic-island-sniffer</guid>
	<pubDate>Thu, 01 Nov 2018 12:35:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38053/swgis-v20-a-seqword-genomic-island-sniffer</link>
	<title><![CDATA[swgis v2.0 : a seqword genomic island sniffer]]></title>
	<description><![CDATA[<p><strong>swgis v2.0</strong>&nbsp;is the modified version of the seqword genomic island sniffer. this version is specifically optimized for predicting genomic islands in eukaryotic genomes. swgis v2.0 was tested on several eukaryotic species of different lineages. all identified genomic islands were deposited in the&nbsp;<a href="http://eugi.bi.up.ac.za/" title="Go to EuGI database">eugi database</a>.</p>
<p><a href="http://eugi.bi.up.ac.za/download_swgis/swgisv2.0.zip" title="Download SWGIS v2.0">download swgis v2.0</a></p><p>Address of the bookmark: <a href="http://eugi.bi.up.ac.za/eugi_download_swgis.php" rel="nofollow">http://eugi.bi.up.ac.za/eugi_download_swgis.php</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/7387/bioinformatics-software-for-biologists-in-the-genomics-era</guid>
	<pubDate>Sun, 22 Dec 2013 17:31:05 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/7387/bioinformatics-software-for-biologists-in-the-genomics-era</link>
	<title><![CDATA[Bioinformatics software for biologists in the genomics era]]></title>
	<description><![CDATA[<p>The genome sequencing revolution is approaching a landmark figure of 1000 completely sequenced genomes. Coupled with fast-declining, per-base sequencing costs, this influx of DNA sequence data has encouraged laboratory scientists to engage large datasets in comparative sequence analyses for making evolutionary, functional and translational inferences. However, the majority of the scientists at the forefront of experimental research are not bioinformaticians, so a gap exists between the user-friendly software needed and the scripting/programming infrastructure often employed for the analysis of large numbers of genes, long genomic segments and groups of sequences. We see an urgent need for the expansion of the fundamental paradigms under which biologist-friendly software tools are designed and developed to fulfill the needs of biologists to analyze large datasets by using sophisticated computational methods. We argue that the design principles need to be sensitive to the reality that comparatively small teams of biologists have historically developed some of the most popular biological software packages in molecular evolutionary analysis. Furthermore, biological intuitiveness and investigator empowerment need to take precedence over the current supposition that biologists should re-tool and become programmers when analyzing genome scale datasets.</p><p>Address of the bookmark: <a href="http://bioinformatics.oxfordjournals.org/content/23/14/1713.full" rel="nofollow">http://bioinformatics.oxfordjournals.org/content/23/14/1713.full</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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