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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30236?offset=660</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40699/kevler-reference-free-variant-discovery-in-large-eukaryotic-genomes</guid>
	<pubDate>Tue, 28 Jan 2020 03:21:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40699/kevler-reference-free-variant-discovery-in-large-eukaryotic-genomes</link>
	<title><![CDATA[Kevler: Reference-free variant discovery in large eukaryotic genomes]]></title>
	<description><![CDATA[<p><span>Welcome to&nbsp;</span><span>kevlar</span><span>, software for predicting&nbsp;</span><em>de novo</em><span>&nbsp;genetic variants without mapping reads to a reference genome! kevlar's&nbsp;</span><em>k</em><span>-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs), insertion/deletion variants (indels), and structural variants (SVs) simultaneously with a single simple model.&nbsp;</span></p>
<p><span>More at&nbsp;<a href="https://kevlar.readthedocs.io/en/latest/">https://kevlar.readthedocs.io/en/latest/</a></span></p>
<p><span><a href="https://www.cell.com/iscience/pdf/S2589-0042(19)30259-7.pdf">https://www.cell.com/iscience/pdf/S2589-0042(19)30259-7.pdf</a></span></p><p>Address of the bookmark: <a href="https://github.com/kevlar-dev/kevlar" rel="nofollow">https://github.com/kevlar-dev/kevlar</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24463/project-fellow-at-indian-institute-of-chemical-biology-iicb</guid>
  <pubDate>Tue, 22 Sep 2015 23:47:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Fellow at Indian Institute of Chemical Biology (IICB)]]></title>
  <description><![CDATA[
<p>Advertisement No. : R&amp;C/CD/427/2015  ,Vacancy Code: 4271501    </p>

<p>Project Fellow Bioinformatics recruitment in Indian Institute of Chemical Biology (IICB) purely temporary </p>

<p>Name of the Project:  "Genomics and Informatics Solutions for Integrating Biology(Genesis)".     </p>

<p>No. of Vacancies: 1     </p>

<p>Qualification required : M.Sc in Bioinformatics with 55% Marks. </p>

<p>Experience (Desirable): Candidate should be well versed with sequencing data analysis,assembly and annotation of whole genome sequence. Experience in transcriptional data analysis is also preferred.</p>

<p>Age Limit : 28 Years   <br />  <br />Stipend : Rs.16000<br />How to apply<br />Interested candidates may appear for the walk-in-interview to be held on 28.09.2015 from 11.00 a.m. in the Red Carpet Room with the following documents self attested copy - (1) Matriculation Certificate in support of your date of birth, (2) Degree/Diploma Certificate, (3) Original reprints of all testimonials regarding educational qualification, (4) No Objection Certificate from the employer if employed, (5) Final Mark Sheet of M.Sc. Examination, (6) One Passport size photograph.</p>

<p>http://www.career.iicb.res.in/Recruitment%20Notice.php</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35918/scubat-scaffolding-contigs-using-blat-and-transcripts</guid>
	<pubDate>Tue, 13 Mar 2018 06:52:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35918/scubat-scaffolding-contigs-using-blat-and-transcripts</link>
	<title><![CDATA[SCUBAT: Scaffolding Contigs Using Blat And Transcripts]]></title>
	<description><![CDATA[<p><span>SCUBAT (Scaffolding Contigs Using BLAT And Transcripts) uses any set of transcripts to identify cases where a transcript is split over multiple genome fragments and attempts to use this information to scaffold the genome.</span></p><p>Address of the bookmark: <a href="https://github.com/elswob/SCUBAT" rel="nofollow">https://github.com/elswob/SCUBAT</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24704/2-positions-on-the-evolutionary-analysis-of-biological-sequences-in-montpellier-france</guid>
  <pubDate>Mon, 28 Sep 2015 08:25:48 -0500</pubDate>
  <link></link>
  <title><![CDATA[2 positions on the evolutionary analysis of biological sequences in Montpellier - France]]></title>
  <description><![CDATA[
<p>The Methods and Algorithms for Bioinformatics (MAB) team at the LIRMM (computer science, robotics and microelectronics laboratory at the CNRS &amp; University of Montpellier, France) is looking for talented individuals to fill two postdoctoral positions.  We are seeking candidates with a strong background in computational evolutionary biology. The positions will start by the end of 2015.<br /> <br />The first of the positions (duration: 18-24 months), associated with the European VIROGENESIS project (http://www.kuleuven.be/english/research/EU/p/horizon2020/sc/sc1/Virogenesis), concerns the evolutionary analysis of viral sequences.  Topics include -- but are not limited to -- phylogenetic classification of metagenomic reads and the recombination history of viruses.<br /> <br />The second position (duration: 1 year), associated with the Institute for Computational Biology (IBC, http://www.ibc-montpellier.fr), concerns evolutionary analyses of large-scale genomic data -- including the inference of very large phylogenies, gene/species tree reconciliation, comparative genomics, phylogenetic network inference and verification, phylogeography, the use of phylogenies to study the evolution of characters.<br /> <br />A one thousand year old city, Montpellier is a thriving research community with a multitude of biology and biomedical research centers.  It is the fastest growing city in France where approximately one third of the population are students, and a wonderful location for outdoor activities (kite/wind surfing, sailing, river/sea kayaking, hiking and rock climbing).  The LIRMM is one of the most visible computer science laboratories in France.</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38505/allhic-phasing-and-scaffolding-polyploid-genomes-based-on-hi-c-data</guid>
	<pubDate>Thu, 20 Dec 2018 12:03:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38505/allhic-phasing-and-scaffolding-polyploid-genomes-based-on-hi-c-data</link>
	<title><![CDATA[ALLHiC: Phasing and scaffolding polyploid genomes based on Hi-C data]]></title>
	<description><![CDATA[<p><span>The major problem of scaffolding polyploid genome is that Hi-C signals are frequently detected between allelic haplotypes and any existing stat of art Hi-C scaffolding program links the allelic haplotypes together. To solve the problem, we developed a new Hi-C scaffolding pipeline, called ALLHIC, specifically tailored to the polyploid genomes. ALLHIC pipeline contains a total of 5 steps:&nbsp;</span><em>prune</em><span>,&nbsp;</span><em>partition</em><span>,&nbsp;</span><em>rescue</em><span>,&nbsp;</span><em>optimize</em><span>&nbsp;and&nbsp;</span><em>build</em><span>.</span></p><p>Address of the bookmark: <a href="https://github.com/tangerzhang/ALLHiC/wiki" rel="nofollow">https://github.com/tangerzhang/ALLHiC/wiki</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25307/srfjrf-bioinformatics-at-iari</guid>
  <pubDate>Sun, 29 Nov 2015 03:00:44 -0600</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF Bioinformatics at IARI]]></title>
  <description><![CDATA[
<p>Agricultural Knowledge Management Unit</p>

<p>ICAR-INDIAN AGRICULTURAL RESEARCH INSTITUTE</p>

<p>L.B.S Building, Pusa Campus,</p>

<p>New Delhi-110012</p>

<p>Walk-in-Interview: 18th December 2015</p>

<p>DBT funded project: Distributed Information Centre under BTISnet (PI: Dr. A.K.Mishra)</p>

<p>Senior Research Fellow Two</p>

<p>    Rs 28000/- + HRA</p>

<p>    i) Master’s degree in Bioinformatics or Computer Science+ NET qualification and two years research experience, or</p>

<p>    ii) M. Tech degree in Bioinformatics or Computer Science /Engineering with two years research experience Efficiency to handle agricultural databases and bioinformatics tool development</p>

<p>#Junior Research Fellow</p>

<p>    Rs. 25000/- + HRA</p>

<p>    i) Master’s degree in Bioinformatics or Computer Science + NET qualification, or</p>

<p>    ii) M. Tech degree in Bioinformatics or Computer Science/Engineering Efficiency to handle agricultural databases and bioinformatics tool development</p>

<p>Traineeship Two</p>

<p>    Rs. 8000/- consolidated</p>

<p>    M.Sc./M. Tech (Bioinformatics) with 60 % marks from a recognized University</p>

<p>Studentship Four</p>

<p>    Rs. 8000/- consolidated</p>

<p>    Final year M.Sc./ M.Tech (Bioinformatics) Students from a recognized University</p>

<p>* M. Tech with Four Years Bachelor’s degree followed by Master’s degree</p>

<p># In case suitable person is not found for SRF position, it may be filled at the JRF level The interview will be held on 18 th December 2015 at 10:00 AM at AKMU, LBS Building, IARI, Pusa Campus, New Delhi-110012. Terms and Conditions:  Maximum age limit is 35 years for all positions. Age relaxation of 5 yrs for SC/ST/OBC and woman candidates will be given.  The above post is purely temporary and is co-terminus with the project. The candidate shall not claim for regular appointment.  No TA/DA will be paid for attending the interview.  Bring self attested copies and originals of all certificates ( class 10th )onwards along with biodata in the attached format, proof of date of birth, one passport size photo, NOC from present employer, if any  Canvassing in any form will disqualify the candidate. </p>

<p>Reporting time for interview: 9.30-10.00 AM at AKMU, IARI, New Delhi -110 012</p>

<p>Advertisement:</p>

<p>www.iari.res.in/files/SRF_JRF_Akkmu-27112015-20151127-124003.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44616/basics-of-blast-programs</guid>
	<pubDate>Fri, 26 Jul 2024 06:04:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44616/basics-of-blast-programs</link>
	<title><![CDATA[Basics of BLAST Programs !]]></title>
	<description><![CDATA[<p>The Basic Local Alignment Search Tool (BLAST) is a powerful bioinformatics program used to compare an input sequence (such as DNA, RNA, or protein sequences) against a database of sequences to find regions of similarity. Developed by the National Center for Biotechnology Information (NCBI), BLAST is widely used for identifying species, finding functional and evolutionary relationships between sequences, and predicting the function of novel sequences.</p><p>Key Features of BLAST:<br />1. Sequence Comparison: BLAST searches for local alignments between the query sequence and sequences in a database. It identifies regions of similarity, which can help infer functional and evolutionary relationships.</p><p>2. Speed and Efficiency: BLAST uses heuristic algorithms, making it faster than exhaustive search methods, suitable for large-scale database searches.</p><p>3. Versatility: There are several versions of BLAST for different types of sequence comparisons:<br /> - blastn: Compares a nucleotide query sequence against a nucleotide sequence database.<br /> - blastp: Compares a protein query sequence against a protein sequence database.<br /> - blastx: Compares a nucleotide query sequence translated in all reading frames against a protein sequence database.<br /> - tblastn: Compares a protein query sequence against a nucleotide sequence database translated in all reading frames.<br /> - tblastx: Compares the six-frame translations of a nucleotide query sequence against the six-frame translations of a nucleotide sequence database.</p><p>4. Scoring and E-value: BLAST results are scored based on the quality and length of the alignments. The E-value (expect value) indicates the number of alignments one can expect to find by chance, with lower E-values representing more significant matches.</p><p>5. Output Formats: BLAST provides results in various formats, including plain text, HTML, XML, and JSON, making it adaptable for different types of analyses and integrations with other tools.</p><p>Applications of BLAST:<br />- Genomic Research: Identifying genes, understanding genetic diversity, and mapping genome sequences.<br />- Protein Function Prediction: Inferring the function of unknown proteins by comparing them to known protein sequences.<br />- Evolutionary Studies: Exploring evolutionary relationships between organisms by comparing their genetic material.<br />- Medical Research: Identifying pathogens, understanding disease mechanisms, and developing treatments by comparing sequences of interest.</p><p>Overall, BLAST is an essential tool in bioinformatics, offering a reliable and efficient way to analyze and interpret biological sequence data.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24962/ra-bioinformatics-at-nipgr</guid>
  <pubDate>Tue, 20 Oct 2015 04:11:56 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at NIPGR]]></title>
  <description><![CDATA[
<p>Applications are invited from suitable candidates for filling up the purely temporary positions of one Research Associate (RA) and one Junior Research Fellow (JRF) in the DBT Part-B Sub-project-1&amp;2 entitled Transcriptome and epigenome diversity analysis during seed development for discovery of molecular markers and gene regulatory mechanism in chickpea of Seed Biology</p>

<p>Research Associate (one post): Emoluments as per DST/DBT norms &amp; as sanctioned in the project<br />Qualification: Candidates having Ph.D. degree (awarded) in Life Sciences/Molecular Biology/Bioinformatics or related field are eligible to apply.</p>

<p>Junior Research Fellow (one post): Emoluments as per DST/DBT norms &amp; as sanctioned in the project<br />Qualification: Candidates having M.Sc. degree or equivalent (with minimum 55% marks) in Life Sciences, Biotechnolgy, Bioinformatics, Molecular Biology or any other related field are eligible to apply</p>

<p>Additional Information</p>

<p>Address:<br />Staff Scientist<br />National Institute of Plant Genome Research (NIPGR)<br />Aruna Asaf Ali Marg, P.O. Box NO. 10531,<br />New Delhi - 110067</p>

<p>States &amp; U.T<br />State &amp; Union Territories Delhi</p>

<p>How To Apply</p>

<p>Apply Details<br />Eligible candidates may apply by sending their complete application in the given format. The attested copies of the certificates and proof of research experience (if any) are to be attached with the hard copy of application. The applications should reach at the address given below within 15 days from the date of advertisement.</p>

<p>Web/Notification URL<br />http://www.nipgr.res.in/careers/vacancie s_latest.php</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43319/k-mers-tutorial-classification-and-taxonomy</guid>
	<pubDate>Thu, 26 Aug 2021 10:28:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43319/k-mers-tutorial-classification-and-taxonomy</link>
	<title><![CDATA[k-mers tutorial - classification and taxonomy]]></title>
	<description><![CDATA[<p>DNA k-mers underlie much of our assembly work, and we (along with many others!) have spent a lot of time thinking about how to&nbsp;<a href="http://www.pnas.org/content/109/33/13272">store k-mer graphs efficiently</a>,&nbsp;<a href="http://ivory.idyll.org/blog/what-is-diginorm.html">discard redundant data</a>, and&nbsp;<a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0101271">count them efficiently</a>.</p>
<p>More recently, we've been enthused about&nbsp;<a href="http://joss.theoj.org/papers/3d793c6e7db683bee7c03377a4a7f3c9">using k-mer based similarity measures</a>&nbsp;and&nbsp;<a href="http://ivory.idyll.org/blog/2016-sourmash-sbt.html">computing and searching k-mer-based sketch search databases for all the things</a>.</p>
<p>But I haven't spent too much talking about using k-mers for taxonomy, although that has become an&nbsp;<em>ahem</em>&nbsp;area of interest recently,&nbsp;<a href="http://www.biorxiv.org/content/early/2017/07/03/155358">if you read into our papers a bit</a>.</p>
<p>In this blog post I'm going to fix this by doing a little bit of a literature review and waxing enthusiastic about other people's work. Then in a future blog post I'll talk about how we're building off of this work in fun! and interesting? ways!</p><p>Address of the bookmark: <a href="http://ivory.idyll.org/blog/2017-something-about-kmers.html" rel="nofollow">http://ivory.idyll.org/blog/2017-something-about-kmers.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25094/project-assistant-bioinformatics</guid>
  <pubDate>Mon, 02 Nov 2015 03:23:09 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Assistant BioInformatics]]></title>
  <description><![CDATA[
<p>Project Assistant BioInformatics</p>

<p>Eligibility : ME/M.Tech(Bio-Informatics/Bio-Chemistry Engg), MSc(Bio-Informatics), BE/B.Tech</p>

<p>Location : Pune</p>

<p>Last Date : 16 Nov 2015</p>

<p>Hiring Process : Face to Face Interview</p>

<p>No. Bio/NCIM/3 </p>

<p>Project Assistant II Jobs opportunity in National Chemical Laboratory (NCL) on temporary basis</p>

<p>Project Code No. : GAP312626</p>

<p>Title of the Project : Microbial ecology and distribution of geochemical cycling genes in an hot spring ecosystem</p>

<p>No. of Post : 01</p>

<p>Qualifications : M.Sc./B.Tech/M.Tech in Computational biology/ Bioinformatics from recognized university with minimum 60 % marks (aggregate) </p>

<p>Desirable : Good knowledge of computational skills, Linux (command line and GUI) and Unix; Perl / Python / R /C-programming. Practical knowledge of analysis of Next generation sequence datasets (amplicon sequencing, whole metagenome, and complete genome sequencing) with reference to microbes. Analysis and statistical validation of NGS data generated from different chemistry platforms. Some wet-lab experience in microbial system would be an added advantage as project involves some travel.</p>

<p>Emoluments : Rs. 16,000/- </p>

<p>Age Limit : 28 years</p>

<p>The application with the above information duly signed together with photo-copies of relevant certificates/testimonials should be addressed to : The Head, NCIM Resource Centre (Attn Dr. M.S. DHARNE), National Chemical Laboratory, Pune 411 008, so as to reach on or before 16th November 2015.</p>

<p>More at http://www.ncl-india.org/files/JoinUs/JobVacancies/TemporaryJobs.aspx?menuid=ql6&amp;childmenustripid=divSubQL6</p>
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