<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30459?offset=660</link>
	<atom:link href="https://bioinformaticsonline.com/related/30459?offset=660" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37576/lrcstats-a-tool-for-evaluating-long-reads-correction-methods</guid>
	<pubDate>Wed, 22 Aug 2018 11:05:04 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37576/lrcstats-a-tool-for-evaluating-long-reads-correction-methods</link>
	<title><![CDATA[LRCstats: a tool for evaluating long reads correction methods]]></title>
	<description><![CDATA[<p><span>LRCstats is an open-source pipeline for benchmarking DNA long read correction algorithms for long reads outputted by third generation sequencing technology such as machines produced by Pacific Biosciences. The reads produced by third generation sequencing technology, as the name suggests, are longer in length than reads produced by next generation sequencing technologies, such as those produced by Illumina. However, long reads are plagued by high error rates, which can cause issues in downstream analysis. Long read correction algorithms reduce the error rate of long reads either through self-correcting methods or using accurate, short reads outputted by next generation sequencing technologies to correct long reads.</span></p><p>Address of the bookmark: <a href="https://github.com/cchauve/lrcstats" rel="nofollow">https://github.com/cchauve/lrcstats</a></p>]]></description>
	<dc:creator>Aaryan Lokwani</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9859/bioinformatics-jrfsrf-position-at-university-of-hyderabad</guid>
  <pubDate>Tue, 15 Apr 2014 20:07:52 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics JRF/SRF position at University of Hyderabad]]></title>
  <description><![CDATA[
<p>UNIVERSITY OF HYDERABAD SCHOOL OF LIFE SCIENCES </p>

<p>Applications are invited from qualified individuals for a JRF/SRF position (sponsored by DBT/DST) at Prof. Jagan Pongubala’s laboratory, University of Hyderabad. Dr. Pongubala’s laboratory is investigating the molecular pathways that control the development of innate and adaptive immune cell types utilizing a combination of genetic, molecular and computational approaches.</p>

<p>JRF/SRF</p>

<p>Masters degree in Bioinformatics  (M.Sc./M.Tech.)</p>

<p>Rs. 12,000+HRA<br />Rs. 16,000+HRA</p>

<p>Initial appointment is for one year and  subjected to renewal up to 2 years</p>

<p>Candidates selected for the above position would have a choice to work on computational biology or experimental  biology. Candidates interested to work on computational biology are expected to perform high-throughput sequencing  (NGS) data analysis and should have a strong background in Bioinformatics &amp; Computational Biology, good  programming skills particularly Perl, Python, R and work experience in Linux environment.</p>

<p>Candidates interested to work on experimental biology should have work experience in techniques that are routinely  used in molecular biology and mammalian cell culture. A basic knowledge of bioinformatics is also desired. </p>

<p>Applicants for the above positions should have a Masters degree (M.Tech/M.Sc) with an aggregate marks greater  than 70% or a 7.5 CGPA. Candidates having JRF-fellowship through CSIR/UGC/ICMR/DBT will be encouraged  to enroll into Ph.D. program. The interested candidates having excellent organizational skills and the ability to work  in a team environment with an aspiration to learn new techniques and explore new scientific areas are requested to generate their resume using the link https://cvmkr.com/CV/new#0 and forward to pongubalajagan@gmail.com</p>

<p>Review of applications will begin immediately and continue until the position is filled. Eligible candidates will be called for an interview. No TA/ DA will be paid for attending the interview or at the time of joining the post. Applicants should note that the appointment is purely temporary and subjected to renewal up to three years and there is no Right to Claim for any regular appointment with the University.</p>

<p>Corresponding address: Jagan Pongubala, Ph.D.<br />Department of Animal Sciences<br />School of Life Sciences, Room:S44<br />University of Hyderabad<br />Gachibowli, Hyderabad 500046</p>

<p>Advertisement: https://www.uohyd.ac.in/images/recruitment/jrf-srf_130414.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37796/grsr-a-tool-for-deriving-genome-rearrangement-scenarios-from-multiple-unichromosomal-genome-sequences</guid>
	<pubDate>Fri, 28 Sep 2018 09:35:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37796/grsr-a-tool-for-deriving-genome-rearrangement-scenarios-from-multiple-unichromosomal-genome-sequences</link>
	<title><![CDATA[GRSR: a tool for deriving genome rearrangement scenarios from multiple unichromosomal genome sequences]]></title>
	<description><![CDATA[<p>GRSR is a Tool for Deriving Genome Rearrangement Scenarios for Multiple Uni-chromosomal Genomes. This tool will do the following steps:</p>
<ul>
<li>Step 1. Run mugsy to get multiple sequence alignment results.</li>
<li>Step 2 &amp; 3. Extraction of the Coordinates of Core Blocks, Construction of Synteny Blocks and Generating Signed Permutations.</li>
<li>Step 4. Generate pairwise genome rearrangement scenarios and find repeats at the breakpoints of each rearrangement events.</li>
<li></li>
<li></li>
</ul>
<p>https://github.com/DanwangJessica/GRSR</p><p>Address of the bookmark: <a href="https://github.com/DanwangJessica/GRSR" rel="nofollow">https://github.com/DanwangJessica/GRSR</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10124/jrf-at-bose-institute-kolkata</guid>
  <pubDate>Mon, 21 Apr 2014 19:41:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF at Bose Institute, Kolkata]]></title>
  <description><![CDATA[
<p>ADVT. No. S/BIC/01/2014-15</p>

<p>Bose Institute, Kolkata, invites applications from Indian Citizens for ONE (01) temporary position of Junior Research Fellow in the DBT sponsored project entitled, “Centre of Excellance (CoE) in Bioinformatics at Bose Institute”, running under Prof. Pinakpani Chakrabarti, Project Co-ordinatior, Bioinformatics Centre. The project is tenable upto 31.03.2017, but duration of the fellowship is one year only. The JRF will work with one of the faculty members of the center based on his / her motivation in any specific area on Bioinformatics.</p>

<p>Essential Qualification: 1st class M.Sc. / M.Tech degree in any stream of Chemical/ Biological Sciences with CSIR-UGC-NET-JRF / ICMR-JRF / DBT-JRF or CSIR-UGCNET- LS / GATE qualification.</p>

<p>Desirable qualification:</p>

<p>(i) Specialized knowledge in Organic / Physical chemistry.<br />(ii) Any exposure to research involving the small molecules (like drug) and / or protein structure determination or prediction.<br />(iii) Basic knowledge in computer programming, e.g. using FORTRAN, C, shell, perl etc.<br />(iv) Hands-on-experience on any of the following software : CHARMM/AMBER/NAMD/GROMACS,Gaussian/Gamess, Haddock/Autodock, Schrodinger etc. (or any other software serving similar purposes in molecular modeling)</p>

<p>Fellowship :</p>

<p>(i) Rs. 16,000/- p.m., plus admissible HRA &amp; Medical Benefit for M.Sc. with CSIRUGC NET-JRF/ICMR-JRF/DBT-JRF or M.Tech. with CSIR-UGC NETJRF/<br />ICMR-JRF/DBT-JRF/CSIR-UGC NET-LS/GATE<br />(ii) Rs. 12,000/- p.m., plus admissible HRA &amp; Medical Benefit for M.Sc. with CSIRUGC NET-LS/GATE</p>

<p>Age : Below 28 years as on the day on which the application is made (relaxable in case of SC/ST/OBC/WOMEN candidates only as per rule).</p>

<p>Interested and eligible candidates should apply on plain paper duly signed by them clearly mentioning the area of interest in research, possession of any desirable qualification (s) as mentioned above and quoting Advertisement No. on the envelop as well as application with complete Bio-data giving e-mail ID, Phone No. and details of qualification i.e. examination passed, year, division, percentage of marks, from Secondary onwards with attested copies of testimonials, addressed to the Registrar, Bose Institute, P-1/12, CIT Scheme VII-M, Kankurgachi, Kolkata-700054 on or before April 25, 2014.</p>

<p>The shortlisted candidates will be called for an interview. Applicants are advised to check our website for future updates.</p>

<p>Advertisement: www.boseinst.ernet.in/ADVT/14/p_2.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38208/anitools-web-a-web-tool-for-fast-genome-comparison-within-multiple-bacterial-strains</guid>
	<pubDate>Wed, 14 Nov 2018 04:34:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38208/anitools-web-a-web-tool-for-fast-genome-comparison-within-multiple-bacterial-strains</link>
	<title><![CDATA[ANItools web: a web tool for fast genome comparison within multiple bacterial strains]]></title>
	<description><![CDATA[<p><span>ANItools is a software package written by PERL scripts that can be run in a Linux/Unix system. If you want to compare bacterial genomes and calculate their average nucleotide identity (ANI), you could download and run this program directly. Or you could send us the genome sequence by email. Then we will do the analysis work for you.</span></p>
<p><span>https://academic.oup.com/database/article/doi/10.1093/database/baw084/2630454</span></p><p>Address of the bookmark: <a href="http://ani.mypathogen.cn/" rel="nofollow">http://ani.mypathogen.cn/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39372/irnad-a-computational-tool-for-identifying-d-modification-sites-in-rna-sequence</guid>
	<pubDate>Thu, 16 May 2019 00:20:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39372/irnad-a-computational-tool-for-identifying-d-modification-sites-in-rna-sequence</link>
	<title><![CDATA[iRNAD: a computational tool for identifying D modification sites in RNA sequence]]></title>
	<description><![CDATA[<p><span>iRNAD, for identifying D modification sites in RNA sequence. In this predictor, the RNA samples derived from five species were encoded by nucleotide chemical property and nucleotide density. Support vector machine was utilized to perform the classification.&nbsp;</span></p>
<p><span><a href="http://lin-group.cn/server/iRNAD/">http://lin-group.cn/server/iRNAD/</a></span></p><p>Address of the bookmark: <a href="http://lin-group.cn/server/iRNAD/" rel="nofollow">http://lin-group.cn/server/iRNAD/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/10415/bioinformatician-stuck-in-wet-lab</guid>
	<pubDate>Tue, 06 May 2014 12:46:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/10415/bioinformatician-stuck-in-wet-lab</link>
	<title><![CDATA[Bioinformatician stuck in wet-lab]]></title>
	<description><![CDATA[<p>This guide is aimed at pet bioinformaticians, and is meant to guide them towards better career development.</p>
<p><strong>1. Make friends with local bioinformatics groups</strong><br> <strong>2. Talk to your computing group</strong><br> <strong>3. Obtain clear expectations</strong><br> <strong>4. Rewrite your job description</strong><br> <strong>5. Papers</strong><br> <strong>6. Attend bioinformatics meetings</strong><br> <strong>7. Try first, ask later</strong></p><p>Address of the bookmark: <a href="http://biomickwatson.wordpress.com/2013/04/23/a-guide-for-the-lonely-bioinformatician/" rel="nofollow">http://biomickwatson.wordpress.com/2013/04/23/a-guide-for-the-lonely-bioinformatician/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40465/airlift-a-methodology-and-tool-for-comprehensively-moving-mappings-and-annotations-from-one-genome-to-another-similar-genome</guid>
	<pubDate>Mon, 23 Dec 2019 10:20:13 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40465/airlift-a-methodology-and-tool-for-comprehensively-moving-mappings-and-annotations-from-one-genome-to-another-similar-genome</link>
	<title><![CDATA[AirLift, a methodology and tool for comprehensively moving mappings and annotations from one genome to another similar genome]]></title>
	<description><![CDATA[<p>We propose AirLift, a methodology and tool for comprehensively moving mappings and annotations from one genome to another similar genome while maintaining the accuracy of a full mapper.</p><p>Address of the bookmark: <a href="https://github.com/CMU-SAFARI/AirLift" rel="nofollow">https://github.com/CMU-SAFARI/AirLift</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10881/special-project-scientist-%E2%80%93-sorghum-genomics</guid>
  <pubDate>Tue, 20 May 2014 00:34:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Special Project Scientist – Sorghum Genomics]]></title>
  <description><![CDATA[
<p>ICRISAT is seeking applications from Indian Nationals for a Special Project Scientist to work on a sorghum genomics activities related to sequencing/re-sequencing projects utilizing New Generation Sequencing platforms.</p>

<p>The Job detail</p>

<p>    Advancing the SNP-discovery and polymorphism assessment work across several germplasm panels representing global genetic diversity<br />    Population genetic and genomic analyses, testing the hypothesis related to adaptation in multiple geographic regions<br />    Develop SNP assays from large scale GBS and other re-sequencing data for several target traits utilizing available phenotyping data<br />    Combined analyses of genotypic and phenotypic data for discovery of marker-trait associations, and conducting GWAS<br />    Processing, analyzing, and archiving large-scale genomic data sets, assessing data quality, conducting analyses, interpreting findings, and communicating findings to others including preparation of reports, presentations, posters and journal articles<br />    Providing support to MSc and PhD students on topic related to its major core of research<br />    Any other work assigned by the supervisor</p>

<p>The Person:</p>

<p>    PhD in bioinformatics, genetics, computational biology preferably with 1 to 2 years of experience;<br />    familiar with standard bioinformatics tools and scripting languages and emerging and evolving software platforms relevant to bioinformatics and computational biology;<br />    ability to create new analytical pipelines; experience with handling large data sets;<br />    ability to program in at least two of the following: C++, PERL, Python, R, Java.<br />    will use next-generation sequencing technologies to generate marker data for genetic mapping and transcriptome data for expression QTL mapping, and will be responsible for data generation as well as data analysis.</p>

<p>Period and Remuneration: The assignment is for a period of two years, and can be extended for another year depending on performance. ICRISAT pays a very attractive all inclusive lump sum assignment fee payable in Indian Rupees.</p>

<p>How to Apply: Please send your application by email to icrisatjobs@cgiar.org, stating the job title (Special project Scientist-Sorghum Genomics) clearly in the subject column, addressed to the Director, Human Resources and Operations, ICRISAT, Patancheru, Andhra Pradesh 502 324, India, latest by 10 June 2014. The application should include an up-to-date Curriculum Vitae, a short statement of competencies and experience for the position, and the names and addresses (including phone/e-mail) of three referees. Only short-listed candidates will be contacted.</p>

<p>More at: http://www.icrisat.org/careers/Special-Project-Scientist-Sorghum-Genomics.htm</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41046/iseqqc-a-tool-for-expression-based-quality-control-in-rna-sequencing</guid>
	<pubDate>Sun, 16 Feb 2020 08:47:17 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41046/iseqqc-a-tool-for-expression-based-quality-control-in-rna-sequencing</link>
	<title><![CDATA[iSeqQC: a tool for expression-based quality control in RNA sequencing]]></title>
	<description><![CDATA[<p><span>iSeqQC, an expression-based QC tool that detects outliers either produced due to variable laboratory conditions or due to dissimilarity within a phenotypic group. iSeqQC implements various statistical approaches including unsupervised clustering, agglomerative hierarchical clustering and correlation coefficients to provide insight into outliers.</span></p>
<p><a href="http://cancerwebpa.jefferson.edu/iSeqQC/">http://cancerwebpa.jefferson.edu/iSeqQC/</a></p>
<p><a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-3399-8">https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-3399-8</a></p><p>Address of the bookmark: <a href="https://github.com/gkumar09/iSeqQC" rel="nofollow">https://github.com/gkumar09/iSeqQC</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

</channel>
</rss>