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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30973?offset=1180</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36746/soap2-short-oligonucleotide-analysis-package-2</guid>
	<pubDate>Wed, 23 May 2018 10:09:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36746/soap2-short-oligonucleotide-analysis-package-2</link>
	<title><![CDATA[SOAP2 : Short Oligonucleotide Analysis Package 2]]></title>
	<description><![CDATA[SOAPaligner/soap2 is a member of the SOAP (Short Oligonucleotide Analysis Package). It is an updated version of SOAP software for short oligonucleotide alignment. The new program features in super fast and accurate alignment for huge amounts of short reads generated by Illumina/Solexa Genome Analyzer. Compared to soap v1, it is one order of magnitude faster. It require only 2 minutes aligning one million single-end reads onto the human reference genome. Another remarkable improvement of SOAPaligner is that it now supports a wide range of the read length.

SOAPaligner benefitted in time and space efficiency by a revolution in the basic data structures and algorithms used.The core algorithms and the indexing data structures (2way-BWT) are developed by the algorithms research group of the Department of Computer Science, the University of Hong Kong (T.W. Lam, Alan Tam, Simon Wong, Edward Wu and S.M. Yiu).<p>Address of the bookmark: <a href="http://soap.genomics.org.cn/soapaligner.html" rel="nofollow">http://soap.genomics.org.cn/soapaligner.html</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28818/senior-manager-bioinformatics-operations-at-rgcb-india</guid>
  <pubDate>Wed, 17 Aug 2016 03:19:05 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Manager (Bioinformatics Operations) at RGCB, India]]></title>
  <description><![CDATA[
<p>No. RGCB/ADVT/ADMN&amp;TECH/01/2016</p>

<p>August 17, 2016</p>

<p>RGCB invites applications for the following positions from Indian citizens with prescribed qualifications. Full details including job description, additional desirable qualifications, etc. are described below.</p>

<p>Code No. 1</p>

<p>Senior Manager (Bioinformatics Operations)</p>

<p>(To download application format, click here )</p>

<p>Scale of Pay</p>

<p>PB-3 Rs.15600-39100 + Grade Pay Rs.6600/-</p>

<p>Number of Positions</p>

<p>1 (General)</p>

<p>Minimum Qualifications</p>

<p>PhD in Bioinformatics, Biotechnology, Life Sciences or Computer Science applied to biological questions.<br />A minimum of 5 years documented experience in national or state government R&amp;D centers or state and central universities.<br />Track record of research funding and peer reviewed publications.<br />Proficiency using statistical analysis software or libraries such as R or Matlab.<br />Experience with a general scripting language such as Python, Ruby, or Pearl<br />Experience working with Next Generation Sequencing data<br />Proficiency with data visualization tools (Spotfire, Tableau, R, Python, etc.)<br />Experience with an object-oriented language such as Java, C++ or C# and familiarity with standard software development best practices: source code control, unit testing, in-code documentation and automated build environments.<br />Excellent listening, time management, organizational and interpersonal skills<br />Excellent communication skills, including the ability to illustrate problems and generate solutions<br />Management skills – demonstrated through the successful management of a team or large projects.<br />Broad and deep knowledge of computational methods for high-throughput sequence analysis and interpretation.<br />Extensive experience in delivering bioinformatics as a service and conducting training programs.<br />Experience of working with a production, customer-focused environment and business development projects.<br />Experience with management of funding and financial sustainability.<br />Demonstrated ability to work in a team environment and ability to lead and motivate an effective team, and also work as a good team player.<br />Good problem solver, able to logically identify solutions to technical problems.<br />Able to see the bigger picture and contribute towards strategic direction of Platforms and Pipelines teams.<br />Responsibilities</p>

<p>This position will involve cross-functional teamwork to build and develop bioinformatics tools and provide analysis for ongoing clinical trials.<br />Collaborate with biomarker scientists, clinical investigators and pipeline teams to build analytical tools.<br />Implement and evaluate new algorithms for R&amp;D.<br />Support Research and Development teams by analyzing NGS data to identify predictive response markers<br />Lead training programs in Computational Biology and Bioinformatics.</p>

<p>More at http://rgcb.res.in/positions.php</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37820/s-plot2-rapid-visual-and-statistical-analysis-of-genomic-sequences</guid>
	<pubDate>Tue, 02 Oct 2018 17:57:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37820/s-plot2-rapid-visual-and-statistical-analysis-of-genomic-sequences</link>
	<title><![CDATA[S-plot2: Rapid Visual and Statistical Analysis of Genomic Sequences]]></title>
	<description><![CDATA[<p><span>S-plot2 creates an interactive, two-dimensional heatmap capturing the similarities and dissimilarities in nucleotide usage between genomic sequences (partial or complete). In S-plot2, whole eukaryotic chromosomes and smaller prokaryotic genomes can be efficiently compared. The tool includes functionality to extract, analyze, and automate BLAST queries of regions of interest within the heatmap. This facilitates the investigation of quickly evolving coding regions, novel coding regions, and laterally transferred elements.</span></p><p>Address of the bookmark: <a href="https://bitbucket.org/lkalesinskas/splot" rel="nofollow">https://bitbucket.org/lkalesinskas/splot</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28819/research-project-at-iit-madras</guid>
  <pubDate>Wed, 17 Aug 2016 03:26:06 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Project at IIT, Madras]]></title>
  <description><![CDATA[
<p>Two project positions are available to work on (i) molecular modeling and molecular dynamics simulations and (ii) development of bioinformatics databases and tools at Protein Bioinformatics Lab, Department of Biotechnology, IIT Madras.</p>

<p>Duration : Initially for a period of one year. Extendable based on the performance.</p>

<p>Qualification: (i) MSc in Bioinformatics, Biotechnology, Physics, Biophysics, Biochemistry,Computer Science with NET (UGC/CSIR/GATE/BINC/INSPIRE etc) qualification. (OR) (ii) M. Tech in Bioinformatics, Biotechnology</p>

<p>Additional qualification: Programming skills</p>

<p>Candidates who fulfill the requirements of IIT have the possibility to register for PhD.</p>

<p>Fellowship: Rs.25,000 and HRA.</p>

<p>Applicants are encouraged to send the CV to the coordinator by postal mail and e-mail. The deadline to receive the applications is 31st August 2016. The project coordinator has the discretion to restrict the number of candidates to be called for interview to a reasonable limit on the basis of qualifications and experience higher than the minimum prescribed in the announcement.</p>

<p>Project Co-ordinator:</p>

<p>Dr. M. Michael Gromiha <br />Department of Biotechnology <br />Indian Institute of Technology Madras <br />Chennai 600036 <br />Email: gromiha@iitm.ac.in</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28829/jrf-bioinformatics-at-manit-india</guid>
  <pubDate>Thu, 18 Aug 2016 02:48:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at MANIT, India]]></title>
  <description><![CDATA[
<p>Advt. No.: Maths./577/2016 Date: 12/08/2016<br />JRF Bioinformatics Job Position in Maulana Azad National Institute of Technology (MANIT) purely temporary basis<br />Project Title : “Computational Approach to Study Complex Biological Network of Diseases using Molecular Data”<br />Essential Qualifications &amp; experience: M.Tech in Bioinformatics/ Computational System biology/Computer Science or M.Sc. in Bio informatics/Biotechnology/Mathematics/Statistics from recognized University/ Institute. Preference will be given to GATE/NET qualified candidates.<br />No. of Post : 01<br />Fellowship: INR 12000<br /> <br />How to apply<br />The duly completed application on prescribed format along with copies of supporting documents must reach to: office of the Dr. Usha Chouhan, Principal Investigator, Department of Mathematics, Bioinformatics &amp; Computer Applications, Maulana Azad National Institute of Technology, Bhopal-462003 on or before 31/08/2016. A soft copy of the application should also be sent to ycchouhan@gmail.com  email address of Principal Investigator.</p>

<p>More at http://www.web.manit.ac.in/Year%202016/JRF/walk%20in.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43583/pango-lineage-analysis</guid>
	<pubDate>Mon, 15 Nov 2021 03:38:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43583/pango-lineage-analysis</link>
	<title><![CDATA[Pango Lineage Analysis !]]></title>
	<description><![CDATA[<p>The Pango nomenclature is being used by researchers and public health agencies worldwide to track the transmission and spread of SARS-CoV-2, including variants of concern. This website documents all current Pango lineages and their spread, as well as various software tools which can be used by researchers to perform analyses on SARS-COV-2 sequence data.</p><p>Address of the bookmark: <a href="https://cov-lineages.org/resources/pangolin/output.html" rel="nofollow">https://cov-lineages.org/resources/pangolin/output.html</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28926/scientist-at-advanced-centre-for-treatment-research-and-education-in-cancer-navi-mumbai-maharashtra</guid>
  <pubDate>Tue, 30 Aug 2016 04:16:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Scientist at Advanced Centre for Treatment, Research and Education in Cancer - Navi Mumbai, Maharashtra]]></title>
  <description><![CDATA[
<p>Scientist <br />Advanced Centre for Treatment, Research and Education in Cancer - Navi Mumbai, Maharashtra<br />Scientist (One position) <br />Project: Bioinformatics centre DBT- Sub-DIC at ACTREC <br />Funding agency: DBT Grant No.232 </p>

<p>Duration of the Project: Six Months from the date of appointment can be extended further for six months <br />Essential Qualification and Experience: 1st Class Masters Degree in Bioinformatics or Life Sciences equivalent degree from a recognized University with 4 years R&amp;D experience in Bioinformatics or relevant subjects from recognized institutes. <br />OR <br />Ph.D. degree in Bioinformatics or Life Sciences from recognized University. <br />M.Sc. degree obtained after a one year course will not be considered. <br />Experience: Research/teaching experience in Bioinformatics or relevant subjects form recognized Institute(s). </p>

<p>More at http://www.actrec.gov.in/data%20files/Vacancies/2016/AV-scin-stud-trainee-6-Sept-16.docx</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44569/seqcat-sequence-conversion-and-analysis-toolbox</guid>
	<pubDate>Fri, 14 Jun 2024 14:36:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44569/seqcat-sequence-conversion-and-analysis-toolbox</link>
	<title><![CDATA[SeqCAT: Sequence Conversion and Analysis Toolbox]]></title>
	<description><![CDATA[<div>Your all-in-one solution for smooth conversion of sequence coordinates.</div>
<div>Designed for bioinformatics data analysis and daily laboratory work, SeqCAT simplifies sequence coordinate conversion. Extract gene and transcript information, manipulate sequences, and easily validate complex genetic events such as fusions with SeqCAT.</div>
<div>&nbsp;</div>
<div>More at&nbsp;https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkae422/7683049?login=false</div><p>Address of the bookmark: <a href="https://mtb.bioinf.med.uni-goettingen.de/SeqCAT/home" rel="nofollow">https://mtb.bioinf.med.uni-goettingen.de/SeqCAT/home</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29262/bioinformatics-jobs-at-chittaranjan-national-cancer-institute</guid>
  <pubDate>Thu, 29 Sep 2016 09:36:33 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics jobs at Chittaranjan National Cancer Institute]]></title>
  <description><![CDATA[
<p>Chittaranjan National Cancer Institute Advertisement No.497/2016 Invites Applications For Senior Scientific Officer, Gr. II </p>

<p>Note: Experience in the following field required: Molecular cancer cytogenetic and genetic toxicology Molecular drug Designing and targeted therapy Cancer genomics, proteomics, bioinformatics and next generation sequencing Therapeutic stem cell research and gene therapy Molecular cancer immunology and immunotherapy Molecular epidemiology Tumor endocrinology Translation research Ultra structural/tissue engg/development biology research Virus and cancer Molecular pathology No. of Posts: 11 (Eleven), (SC-1, OBC-3, UR-7) </p>

<p>Location: Kolkata (Calcutta) Salary: Rs.15600-39100 + Grade, Pay Rs.5400/- </p>

<p>For details kindly refer to the Employment News dated 24-30 September, 2016 and in the Institute’s Website: http://www.cnci.org.in </p>

<p>Last date for receipt of applications is 30 days from the date of notification in the Employment News. Director Chittaranjan National Cancer Institute 378, S.P. </p>

<p>Institute’s Website: http://www.cnci.org.in</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34396/pore-an-r-package-for-the-visualization-and-analysis-of-nanopore-sequencing-data</guid>
	<pubDate>Thu, 23 Nov 2017 09:55:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34396/pore-an-r-package-for-the-visualization-and-analysis-of-nanopore-sequencing-data</link>
	<title><![CDATA[poRe: an R package for the visualization and analysis of nanopore sequencing data]]></title>
	<description><![CDATA[<p><strong>Motivation:</strong>&nbsp;The Oxford Nanopore MinION device represents a unique sequencing technology. As a mobile sequencing device powered by the USB port of a laptop, the MinION has huge potential applications. To enable these applications, the bioinformatics community will need to design and build a suite of tools specifically for MinION data.</p>
<p><strong>Results:</strong>&nbsp;Here we present poRe, a package for R that enables users to manipulate, organize, summarize and visualize MinION nanopore sequencing data. As a package for R, poRe has been tested on Windows, Linux and MacOSX. Crucially, the Windows version allows users to analyse MinION data on the Windows laptop attached to the device.</p>
<p><strong>Availability and implementation:</strong>&nbsp;poRe is released as a package for R at&nbsp;<a href="http://sourceforge.net/projects/rpore/" target="">http://sourceforge.net/projects/rpore/</a>&nbsp;. A tutorial and further information are available at&nbsp;<a href="https://sourceforge.net/p/rpore/wiki/Home/" target="">https://sourceforge.net/p/rpore/wiki/Home/</a></p>
<p><strong>Contact:</strong><a href="mailto:mick.watson@roslin.ed.ac.uk" target="">mick.watson@roslin.ed.ac.uk</a></p><p>Address of the bookmark: <a href="https://academic.oup.com/bioinformatics/article/31/1/114/2365693" rel="nofollow">https://academic.oup.com/bioinformatics/article/31/1/114/2365693</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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