<?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/31353?offset=1190</link>
	<atom:link href="https://bioinformaticsonline.com/related/31353?offset=1190" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37982/raven-a-software-suite-for-matlab-that-allows-for-semi-automated-reconstruction-of-genome-scale-models</guid>
	<pubDate>Wed, 24 Oct 2018 22:38:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37982/raven-a-software-suite-for-matlab-that-allows-for-semi-automated-reconstruction-of-genome-scale-models</link>
	<title><![CDATA[RAVEN: a software suite for Matlab that allows for semi-automated reconstruction of genome-scale models]]></title>
	<description><![CDATA[<p><span>The RAVEN (Reconstruction, Analysis and Visualization of Metabolic Networks) Toolbox 2 is a software suite for Matlab that allows for semi-automated reconstruction of genome-scale models (GEMs). It makes use of published models and/or KEGG, MetaCyc databases, coupled with extensive gap-filling and quality control features. The software suite also contains methods for visualizing simulation results and omics data, as well as a range of methods for performing simulations and analyzing the results. The software is a useful tool for system-wide data analysis in a metabolic context and for streamlined reconstruction of metabolic networks based on protein homology.</span></p><p>Address of the bookmark: <a href="https://github.com/SysBioChalmers/RAVEN" rel="nofollow">https://github.com/SysBioChalmers/RAVEN</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28592/bioinformatics-technical-position-at-cdac-pune-india</guid>
  <pubDate>Mon, 01 Aug 2016 03:36:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Technical Position at CDAC Pune - India]]></title>
  <description><![CDATA[
<p>CDAC Pune Recruitment 2016 – Apply Online for Technical Positions: Department of Information Technology under the Ministry of Communications and Information Technology, Government of India, Centre for Development of Advanced Computing (C-DAC), Pune has advertised notification for the recruitment of Technical vacancies for for PwD candidates n direct recruitment basis. Eligible candidates can apply Online from 27-07-2016 at 10.00 AM to 31-08-2016 at 18.00 PM.. Other information like age limit, educational qualification, selection process &amp; how to apply are given below… </p>

<p>CDAC Pune Vacancy Details:<br />Total No. of Posts: 23 </p>

<p>Name of the Post: Technical </p>

<p>Name of the Discipline:<br />A. Computer Science/ Information Technology and Allied disciplines. </p>

<p>B.Electronics Communications/ Electrical/ Telecommunication/Instrumentation &amp; Control/ Medical Electronics/ Power Electronics/ VLSI &amp; Embedded System and Allied disciplines. </p>

<p>C.Biotechnology/ Bioinformatics/ Health informatics/ Geoinformatics/ Meteorology/ Environmental Science/ Ocean Sciences/Oceanography/Environmental Engineering </p>

<p>1. Visually Impaired: 09 Posts </p>

<p>2. Hearing Impaired: 08 Posts </p>

<p>3. Orthopedically Impaired: 06 Posts </p>

<p>Educational Qualification : Candidates should possess Graduation in relvany discpline with relevant experience. </p>

<p>Selection Process: Candidates will be selected based on applicants performance in interview. </p>

<p>How to Apply: Eligible candidates can apply online through the website www.cdac.in from 27-07-2016 at 10.00 AM to 31-08-2016 at 18.00 PM. </p>

<p>More at http://www.cdac.in/index.aspx?id=current_jobs</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41820/shinygo-v061-gene-ontology-enrichment-analysis-more</guid>
	<pubDate>Wed, 03 Jun 2020 08:00:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41820/shinygo-v061-gene-ontology-enrichment-analysis-more</link>
	<title><![CDATA[ShinyGO v0.61: Gene Ontology Enrichment Analysis + more]]></title>
	<description><![CDATA[<p>2/3/2020: Now published by&nbsp;<a href="https://doi.org/10.1093/bioinformatics/btz931" target="_blank">Bioinformatics.</a></p>
<p>11/3/2019: V 0.61, Improve graphical visualization (thanks to reviewers). Interactive networks and much more.</p>
<p>5/20/2019: V.0.60, Annotation database updated to Ensembl 96. New bacterial and fungal genomes based on STRING-db! Just paste your gene list to get enriched GO terms and othe pathways for over 315 plant and animal species, based on annotation from Ensembl (Release 96), Ensembl plants (R. 43) and Ensembl Metazoa (R. 43). An additional 2031 genomes (including bacteria and fungi) are annotated based on STRING-db (v.10). In addition, it also produces KEGG pathway diagrams with your genes highlighted, hierarchical clustering trees and networks summarizing overlapping terms/pathways, protein-protein interaction networks, gene characterristics plots, and enriched promoter motifs.&nbsp;</p><p>Address of the bookmark: <a href="http://bioinformatics.sdstate.edu/go/" rel="nofollow">http://bioinformatics.sdstate.edu/go/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42490/bioinformatics-scientist-%E2%80%93-icmr-computational-genomics-centre</guid>
  <pubDate>Sat, 26 Dec 2020 10:18:29 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Scientist – ICMR Computational Genomics Centre]]></title>
  <description><![CDATA[
<p>ICMR invites online applications, from Indian Citizens, up to 8th January 2020 till 5:30 PM to fill up the following post to be filled purely on a temporary basis under “ICMR Computational Genomics Centre” under Dr. Harpreet Singh, Head, Division of Biomedical Informatics (BMI), ICMR HQRS, New Delhi 110029.<br />The Terms &amp; Conditions for the post are as follows:</p>

<p>a) Scientist-B – UR (2 posts-Bioinformatics) on consolidated salary of Rs.48,000/- pm + HRA</p>

<p>b) Scientist C – UR (1 post -Bioinformatics) on consolidated salary of Rs. 51,000 pm+ HRA</p>

<p>c) Scientist B- UR (2 post-Statistics) on a consolidated salary of Rs.48,000/- pm +HRA</p>

<p>d) Computer Programmer 1 post UR &amp; 1 post SC on a consolidated salary of Rs. 32,500/- pm</p>

<p>e) Research Assistant -UR 1 post on a consolidated salary of Rs. 31,000/- pm</p>

<p>More at https://projectjobs.icmr.org.in/sccbioinformatics/uploads/recruitment/Adv_BMI_24122020.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44188/understanding-go-analysis</guid>
	<pubDate>Wed, 08 Feb 2023 04:22:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44188/understanding-go-analysis</link>
	<title><![CDATA[Understanding GO analysis]]></title>
	<description><![CDATA[<p>The confusion about gene ontology and gene ontology analysis can start right from the term itself. There are actually two different entities that are commonly referred to as gene ontology or &ldquo;GO&rdquo;:</p>
<ol>
<li>the&nbsp;<span>ontology itself</span>, which is a set of terms with their precise definitions and defined relationships between them, and</li>
<li>the&nbsp;<span>associations between gene products and GO terms</span>, which are used to capture the existing knowledge about what each gene is known to do.</li>
</ol>
<p>But the term gene ontology, or GO, is commonly used to refer to both, which is sometimes a source of potential confusion. In order to avoid this, here we will use the term &ldquo;GO ontology&rdquo; to describe the set of terms and their hierarchical structure and &ldquo;GO annotations&rdquo; to describe the set of associations between genes and GO terms.</p>
<p>There are 3 types of terms, or domains if you wish, in the gene ontology:</p>
<ul>
<li>Biological Processes (BP)</li>
<li>Molecular Functions (MF)</li>
<li>Cellular Components (CC)</li>
</ul><p>Address of the bookmark: <a href="https://advaitabio.com/faq-items/understanding-gene-ontology/" rel="nofollow">https://advaitabio.com/faq-items/understanding-gene-ontology/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28851/senior-manager-bioinformatics-operations-at-rgcb-india</guid>
  <pubDate>Fri, 19 Aug 2016 04:37:17 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Manager (Bioinformatics Operations) at RGCB, India]]></title>
  <description><![CDATA[
<p>Senior Manager (Bioinformatics Operations) <br />Rajiv Gandhi Centre for Biotechnology (RGCB) - Thiruvananthapuram, Kerala <br />₹15,600 - ₹39,100 a month<br />Rajiv Gandhi Centre for Biotechnology (RGCB) invites applications for the following positions from Indian citizens with prescribed qualifications </p>

<p>Senior Manager (Bioinformatics Operations) <br />No. of posts: 01 (General) <br />Pay Scale: PB-3 15600-39100 + Grade Pay Rs.6600/- <br />Min. Qualification: PhD in Bioinformatics, , Life Sciences or Computer Science applied to biological questions. <br />A Min. 5 years of experience <br />Age limit: 40 years as on August 01, 2016</p>

<p>More at http://www.rgcb.res.in/positions.php</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44620/diy-transcriptomics</guid>
	<pubDate>Wed, 31 Jul 2024 01:19:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44620/diy-transcriptomics</link>
	<title><![CDATA[DIY Transcriptomics]]></title>
	<description><![CDATA[<p><span>A semester-long course covering best practices for the analysis of high-throughput sequencing data from gene expression (RNA-seq) studies, with a primary focus on empowering students to be independent in the use of lightweight and open-source software using the R programming language and the Bioconductor suite of packages. This course follows a hybrid format in which online lectures are paired with in-person labs where students participate in hands-on, live coding exercises using real &lsquo;omic datasets. The course is focused on datasets and topics central to infectious disease research, immunology, and One-Health, but the concepts and approaches covered are applicable to any genomic study.</span></p>
<p>https://diytranscriptomics.com</p><p>Address of the bookmark: <a href="https://diytranscriptomics.com" rel="nofollow">https://diytranscriptomics.com</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29016/traineeshipstudentship-conducts-university-of-delhi-gargi-college</guid>
  <pubDate>Mon, 05 Sep 2016 03:45:58 -0500</pubDate>
  <link></link>
  <title><![CDATA[Traineeship/Studentship conducts University of Delhi (Gargi College)]]></title>
  <description><![CDATA[
<p>Traineeship/Studentship cunducts University of Delhi (Gargi College) on purely temporary for a period of six months.<br />Traineeship — 01 (one post)<br />Essential Qualification: Post Graduate degree in Bioinformatics or any other branch of Life Sciences preferably with dissertation in Bioinformatics. Desirable Qualification: Prior knowledge of programming languages such as C, VB, SQL etc. and software/database development<br />Studentship- 01 (one post)<br />Essential Qualifications: Final year Post Graduate students pursuing a degree in Bioinformatics or any branch of Life Science with knowledge of bioinformatics<br />Salary: Rs.8000/- p.m.<br />How to apply<br />Interested candidates are required to appear for the walk in interview on 14th. September, 2016 at 9.30 AM in Principal's Office, Gargi College, Sirifort Road, N. Delhi-110049</p>

<p>More at http://www.du.ac.in/du/index.php?mact=News,cntnt01,detail,0&amp;cntnt01articleid=12859&amp;cntnt01returnid=83</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44900/pegas-a-comprehensive-bioinformatic-solution-for-pathogenic-bacterial-genomic-analysis</guid>
	<pubDate>Mon, 01 Sep 2025 01:18:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44900/pegas-a-comprehensive-bioinformatic-solution-for-pathogenic-bacterial-genomic-analysis</link>
	<title><![CDATA[PeGAS: A Comprehensive Bioinformatic Solution for Pathogenic Bacterial Genomic Analysis]]></title>
	<description><![CDATA[<p><span>This is PeGAS, a powerful bioinformatic tool designed for the seamless quality control, assembly, and annotation of Illumina paired-end reads specific to pathogenic bacteria. This tool integrates state-of-the-art open-source software to provide a streamlined and efficient workflow, ensuring accurate insights into the genomic makeup of pathogenic microbial strains.</span></p>
<p><span><img src="https://github.com/liviurotiul/PeGAS/raw/main/Features.png" alt="image" style="border: 0px;"></span></p><p>Address of the bookmark: <a href="https://github.com/liviurotiul/PeGAS" rel="nofollow">https://github.com/liviurotiul/PeGAS</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29263/srf-bioinformatics-at-bose-institute-india</guid>
  <pubDate>Thu, 29 Sep 2016 09:39:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF Bioinformatics at Bose Institute, India]]></title>
  <description><![CDATA[
<p>Advt. No. S/DPB(CB)/17/2016-17 <br />Junior Research Assistant/ Senior Research Assistant  Job vacancies in Bose Institute on temporary basis<br />Project Title : “Genome wide transcriptome analysis to identity MYMIV-stress related genomic resources of blackgram”<br />Junior Research Assistant <br />Qualification : Good academic record in B.Sc. and M.Sc. in Botany or Biotechnology from reputed Universities. Must have good practical hand, this should be certified by two Senior/reputed PG teachers on a scale of 10. <br />Desirable : Preference will be given to those who already have some research experience (for at least 2 months). <br />Consolidated Pay : Rs. 16,400/- p.m. <br />Age Limit : Below 28 years (relaxable in case of SC/ST/OBC/Women candidates only as per rules).<br />Senior Research Assistant <br />Qualification : B.Sc. in Biotechnology and M.Sc. in Biotechnology or Bioinformatics. Hands on training in Bioinformatics. At least two Research Publications with Bioinformatics components. <br />Desirable : Preference will be given to the candidates who have previous experience in Next Gen Sequencing data analysis of genomic/transcriptome/miRNA. <br />Consolidated Pay : Rs. 18,700/- p.m.  <br />Age Limit : Below 30 years (relaxable in case of SC/ST/OBC/Women candidates only as per rules).</p>

<p>http://www.boseinst.ernet.in/advertisement.html</p>
]]></description>
</item>

</channel>
</rss>