<?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/14011?offset=1260</link>
	<atom:link href="https://bioinformaticsonline.com/related/14011?offset=1260" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<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/opportunity/view/19162/icgeb-bioinformatics-rasrfjrf-vacancies</guid>
  <pubDate>Thu, 13 Nov 2014 13:39:30 -0600</pubDate>
  <link></link>
  <title><![CDATA[ICGEB Bioinformatics RA/SRF/JRF Vacancies]]></title>
  <description><![CDATA[
<p>Research Associate/JRF/SRF position, DBT Sponsored Bioinformatics Infrastructure Facility</p>

<p>Applicants should hold a PhD or a first class MSc/MTech degree in Bioinformatics of Biotechnology/Life Sciences; experience in using bioinformatics tools, working in Linux and knowledge of computer network administration.</p>

<p>Submit CV and letter of interest by email to: Dr. Dinesh Gupta atdinesh@icgeb.res.in</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/opportunity/view/19540/niab-molecular-biologybioinformatics-scientistra-openings</guid>
  <pubDate>Fri, 12 Dec 2014 21:08:47 -0600</pubDate>
  <link></link>
  <title><![CDATA[NIAB Molecular Biology/Bioinformatics Scientist/RA Openings]]></title>
  <description><![CDATA[
<p>D. No. 1-121/1, 4th and 5th Floors, Axis Clinicals Building, Miyapur, Hyderabad, Telangana, India- 500 049</p>

<p>Email: admin@niab.org.in Telephones: +91 40 2304 9403 Telefax: +91 40 2304 2740<br />Advertisement No: 5/2014</p>

<p>About NIAB National Institute of Animal Biotechnology (NIAB), Hyderabad, an autonomous institute under the aegis of Department of Biotechnology, Government of India, is aimed to harness novel and emerging biotechnologies and create knowledge in the cutting edge areas for improving animal health and productivity.</p>

<p>Applications are invited for the following temporary research positions to work in ongoing DBTBBSRC sponsored research project entitled “Transcriptome Analysis in Indian buffalo and the Genetics of Innate Immunity” at the National Institute of Animal Biotechnology, Hyderabad.</p>

<p>(A) Project Scientist – Level B (One Position)</p>

<p>Emoluments: Rs. 15600 + GP Rs. 5400 + 30 % HRA p.m. (Total emoluments will be Rs. 49,770/-p.m. for the duration of the project)</p>

<p>Essential Qualification: Candidates having M.V.Sc. in Veterinary Microbiology / Veterinary Pathology / Veterinary Public Health / Ph.D. degree in Life Sciences, Biotechnology, Molecular Biology or any other related field from the recognized university are eligible to apply.</p>

<p>The candidate should have a good academic record and research experience as evidenced from published in standard referred journals / patents.</p>

<p>Desirable: Candidates having research experience in the area of tissue culture, genomics, Transcriptomics and Advanced Molecular Biology will be given preference.</p>

<p>Age Limit: Not exceeding 30 years as on last date of the submission of the application.</p>

<p>(B) Research Associate in Bioinformatics (One position)</p>

<p>Fellowship: Rs. 22,000 + 30 % HRA</p>

<p>Essential Qualification: Candidates having Ph.D. degree or M.Tech. with three years of<br />experience in Bioinformatics, Computational Biology, Biotechnology, Life Sciences or any other related field are eligible to apply.</p>

<p>Desirable: Candidate having research experience in the area of next generation sequencing (NGS) data analysis, Genome wide association studies, Genomic selection, advance genomic data analysis etc., will be given preference. The candidate should have a good academic record and research experience as evidenced from published papers in standard journals / patents.</p>

<p>Age Limit: Not exceeding 30 years as on last date of the submission of the application.</p>

<p>Project Duration: The duration of the project is Three years and the positions are co- terminus with the duration of the project. (Initial appointment will be for one year and further extension will be granted based on annual review).</p>

<p>Mode of submission of application: Only online applications are to be submitted through<br />www.niab.org.in on or before 08 December, 2014. Link for online submission of applications will be available from 10 November 2014.</p>

<p>Advertisement: www.niab.org.in/Notifications/Advt_5_2014/Advt_5_2014.pdf</p>
]]></description>
</item>
<item>
	<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/opportunity/view/19542/bic-pgi-bioinformatics-project-dissertation-program</guid>
  <pubDate>Fri, 12 Dec 2014 21:17:30 -0600</pubDate>
  <link></link>
  <title><![CDATA[BIC-PGI Bioinformatics Project Dissertation Program]]></title>
  <description><![CDATA[
<p>Biomedical Informatics Centre, PGIMER, Chandigarh invites application for a project dissertation program for students who have completed their first year of M.Sc. in Bioinformatics.</p>

<p>This is an exciting opportunity for Master's students to train in modern methods in Bioinformatics. The duration of the training will be four to six months, starting from January 2015.</p>

<p>Education: Pursuing M.Sc. Bioinformatics</p>

<p>Essential: Post graduate applicants should have completed their first year and should be in the third semester or first half of the second year.</p>

<p>Only students who are willing to spend a minimum period of 4 months to a maximum of six months, without any break, would be eligible for the program.</p>

<p>How to Apply: Candidates interested in the above project dissertation program should apply online.</p>

<p>Send your CV, Scanned copy of letter of recommendation from Head of Institution along with Registration form in the given format should be sent to: info@bicpgi.org</p>

<p>Please mention clearly “Project dissertation &amp; your Name” in the Subject.</p>

<p>The last date for application is December 31, 2014</p>

<p>Note: Selected candidates may please note that the program is free of cost and would not provide any financial aid for transport and stay.</p>

<p>Name of the selected candidates would be posted on the centre website by December 31, 2014. Incomplete applications will be rejected.</p>

<p>For more information visit our website: http://www.bic-pgi.org/project_dissertation.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38210/skesa-strategic-k-mer-extension-for-scrupulous-assemblies</guid>
	<pubDate>Wed, 14 Nov 2018 04:45:41 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38210/skesa-strategic-k-mer-extension-for-scrupulous-assemblies</link>
	<title><![CDATA[SKESA: strategic k-mer extension for scrupulous assemblies]]></title>
	<description><![CDATA[<p><span>SKESA is a DeBruijn graph-based de-novo assembler designed for assembling reads of microbial genomes sequenced using Illumina. Comparison with SPAdes and MegaHit shows that SKESA produces assemblies that have high sequence quality and contiguity, handles low-level contamination in reads, is fast, and produces an identical assembly for the same input when assembled multiple times with the same or different compute resources. </span></p>
<p><span>Source code for SKESA is freely available at&nbsp;</span><span><a href="https://github.com/ncbi/SKESA/releases"><span>https://github.com/ncbi/SKESA/releases</span></a></span><span>.</span></p>
<p>Research Paper&nbsp;@ <a href="https://genomebiology.biomedcentral.com/articles/10.1186/s13059-018-1540-z">Link</a></p>
<p><span><span>SKESA algorithm are as follows:</span><br></span></p>
<p><span><img src="https://media.springernature.com/lw785/springer-static/image/art%3A10.1186%2Fs13059-018-1540-z/MediaObjects/13059_2018_1540_Fig4_HTML.png" alt="image" width="785" height="984" style="border: 0px; border: 0px;"></span></p><p>Address of the bookmark: <a href="https://github.com/ncbi/SKESA/releases" rel="nofollow">https://github.com/ncbi/SKESA/releases</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38443/genoplotr-plot-gene-and-genome-maps-project</guid>
	<pubDate>Wed, 12 Dec 2018 08:33:41 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38443/genoplotr-plot-gene-and-genome-maps-project</link>
	<title><![CDATA[genoPlotR - plot gene and genome maps project!]]></title>
	<description><![CDATA[<p>genoPlotR is a R package to produce reproducible, publication-grade graphics of gene and genome maps. It allows the user to read from usual format such as protein table files and blast results, as well as home-made tabular files.</p>
<h3>Features</h3>
<ul>
<li>Linear representation of several segments of DNA</li>
<li>Comparisons represented by areas between the segments (like Artemis, for example)</li>
<li>Reads from common formats: Genbank, EMBL, blast, Mauve, and from user-generated tab files</li>
<li>Plot several subsegments of the same segment on the same line, separated by a //</li>
<li>Automatic or manual placement of the segments on the plot</li>
<li>Add annotations to all the lines</li>
<li>Create smart, automatic annotations for genomes, based on gene names</li>
<li>Add a user-generated tree</li>
<li>Add a global scale or a scale to each line</li>
<li>Use user-defined graphical functions to represent genes</li>
<li></li>
</ul><p>Address of the bookmark: <a href="http://genoplotr.r-forge.r-project.org/" rel="nofollow">http://genoplotr.r-forge.r-project.org/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38561/hawkeye-an-interactive-visual-analytics-tool-for-genome-assemblies</guid>
	<pubDate>Tue, 01 Jan 2019 11:56:17 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38561/hawkeye-an-interactive-visual-analytics-tool-for-genome-assemblies</link>
	<title><![CDATA[Hawkeye: an interactive visual analytics tool for genome assemblies]]></title>
	<description><![CDATA[<p><span>Genome sequencing remains an inexact science, and genome sequences can contain significant errors if they are not carefully examined. Hawkeye is our new visual analytics tool for genome assemblies, designed to aid in identifying and correcting assembly errors. Users can analyze all levels of an assembly along with summary statistics and assembly metrics, and are guided by a ranking component towards likely mis-assemblies. Hawkeye is freely available and released as part of the open source AMOS project&nbsp;</span><span><a href="http://amos.sourceforge.net/hawkeye"><span>http://amos.sourceforge.net/hawkeye</span></a></span><span>.</span></p>
<p>https://genomebiology.biomedcentral.com/articles/10.1186/gb-2007-8-3-r34</p><p>Address of the bookmark: <a href="http://amos.sourceforge.net/wiki/index.php?title=Hawkeye" rel="nofollow">http://amos.sourceforge.net/wiki/index.php?title=Hawkeye</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/19690/bioinformatics-scientist-at-icar-labs</guid>
  <pubDate>Sun, 21 Dec 2014 23:47:03 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Scientist at ICAR Labs]]></title>
  <description><![CDATA[
<p>AGRICUL AGRICULTURAL SCIENTISTS RECRUITMENT BOARD TURAL SCIENTISTS RECRUITMENT BOARD<br />KRISHI ANUSANDHAN BHAVAN-I, PUSA, NEW DELHI-110 012</p>

<p>ADVERTISEMENT NO. 03/2014</p>

<p>PRINCIPAL SCIENTIST</p>

<p>Pay Band: Minimum pay of `43,000 in the PB-4 of `37400-67000/- + RGP of `10,000/-.</p>

<p>Age: The candidates must not have attained the age of 52 years as on 19.01.2015. There shall be no age limit for the Council’s employees.</p>

<p>ICAR-Indian Institute for Agricultural Biotechnology, (IIAB) Ranchi (Jharkhand)</p>

<p>151. Principal Scientist (Bioinformatics) (One post)</p>

<p>SENIOR SCIENTIST/PROGRAMME COORDINATOR</p>

<p>Pay Band: PB-4 of ` 37400-67000/- + RGP of ` 9,000/-.</p>

<p>Age: The candidates must not have attained the age of 47 years as on 19.01.2015. There shall be no age limit for the Council’s employees.</p>

<p>National Institute of Biotic Stress Management, Raipur (Chhattishgarh)</p>

<p>166. Senior Scientist (Bioinformatics) (One post)</p>

<p>IMPORTANT NOTE<br />I. (i) CLOSING DATE</p>

<p>THE CLOSING DATE FOR RECEIPT OF APPLICATIONS IN AGRICULTURAL SCIENTISTS RECRUITMENT BOARD IS 19.01.2015 (For applications posted from abroad and in the Andaman and Nicobar Islands, Lakshdweep, Minicoy and Amindivi islands, States/ Union Territories in the North-Eastern Region, Ladakh Division of J &amp; K State, Sikkim, Pangi, Sub-division of Chamba, Lahul and Spiti Districts of Himachal Pradesh, the last date for receipt of application will be 02.02.2015). Non receipt of the application by the closing date will result in rejection of the application.</p>

<p>More Info: http://asrb.org.in/administrator/uploads_dir/1418978057english.pdf</p>
]]></description>
</item>

</channel>
</rss>