<?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/31382?offset=1380</link>
	<atom:link href="https://bioinformaticsonline.com/related/31382?offset=1380" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41041/post-doc-computational-biology-bioinformatics-network-biology-data-science-ngs-mfd</guid>
  <pubDate>Sat, 15 Feb 2020 06:13:35 -0600</pubDate>
  <link></link>
  <title><![CDATA[Post Doc Computational Biology, Bioinformatics - Network Biology &amp; Data Science, NGS (m/f/d)]]></title>
  <description><![CDATA[
<p>https://www.jobvector.de/jobs-stellenangebote/biologie-life-sciences/forschung-entwicklung/post-doc-computational-biology-bioinformatics-network-biology-data-science-ngs-129867.html?suid=e522e9793b41817e52ac58d6963b94e2519920df</p>

<p>Requirements<br />Doctoral degree in Bioinformatics, Computational Biology, (Bio)physics/-mathematics, Biochemistry/Biology or similar with strong quantitative and numeric focus<br />Ability to numerically process complex and large data sets<br />Good programming skills (R/Bioconductor and/or Python preferred, Linux is a plus)<br />Experience in analyzing next-generation sequencing data sets using network biology<br />Scientific publication record in applied bioinformatics<br />Familiarity with single cell NGS analyses and other –omics techniques is a plus, but not essential</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41924/senior-scientist-bioinformatics-it-at-regional-centre-for-biotechnology</guid>
  <pubDate>Tue, 30 Jun 2020 22:04:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Scientist (Bioinformatics/ IT) at Regional Centre for Biotechnology]]></title>
  <description><![CDATA[
<p>Regional Centre for Biotechnology</p>

<p>An Institution of National Importance established by Dept. of<br />Biotechnology, Govt. of India Under the auspices of UNESCO</p>

<p>Advertisement No. RCB/IBDC/01/2020/Recruitment/HR</p>

<p>Recruitment For Contractual Positions Under The Project<br />Indian Biological Data Centre (IBDC) Phase-1</p>

<p>Regional Centre for Biotechnology (RCB) invites online applications from suitably qualified, dynamic, result-oriented and dedicated candidates for the following positions under the project Indian Biological Data Centre (BIDC) Phase-1 on contract basis:</p>

<p>Industry: Biotechnology</p>

<p>Location: Faridabad (Haryana, India)</p>

<p>Project Head - 1</p>

<p>Senior Scientist (Bioinformatics/ IT) - 1</p>

<p>For other details, visit: www.rcb.res.in. Last date for receipt of online application is 18th July 2020.</p>

<p>Registrar</p>

<p>Regional Centre for Biotechnology<br />Faridabad-Gurgaon Expressway,<br />Faridabad - 121001</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42172/sr-scientist-bioinformatics-vacancies-at-indian-institute-of-toxicology-research-india</guid>
  <pubDate>Tue, 01 Sep 2020 07:21:04 -0500</pubDate>
  <link></link>
  <title><![CDATA[Sr. Scientist Bioinformatics Vacancies at Indian Institute of Toxicology Research, India]]></title>
  <description><![CDATA[
<p>Start date of online Registration: Wednesday August 19, 2020 11:00 Hrs IST<br />Last date for Registration: Monday September 21, 2020 17:30 Hrs IST<br />Last date for submission of online application: Monday September 21, 2020 17:30 Hrs IST<br />Last date of Receipt of physical copy of application at CSIR-IITR: Tuesday October 05, 2020 17:30 Hrs IST</p>

<p>Pay Matrix Level-12<br />No. of Post-01<br />(UR)<br />Post – Sr. Scientist<br />Area Bioinformatics<br />Age limit : 37 years<br />PhD in Computational Biology/Bioinformatics with 2 years experience in desired area<br />Or<br />ME/M.Tech in Bioinformatics or Genome Informatics or Genetic Engineering with 3 years experience in desired area<br />Experience of understanding fundamental science behind Artificial Intelligence, machine learning, novel Artificial Intelligence algorithms and architectures, software engineering principles for Artificial Intelligence, natural language processing with proficiency in programming as evident by publications in SCI journals with high impact factor. To be part a group of scientists working in the area of genomics, running the central<br />bioinformatics facility, developing independent projects and providing bioinformatics support to the user scientists of the Institute.</p>

<p>More at </p>

<p>http://14.139.62.50/CSIR-IITR%20Scientist%20Recruitment%20Adv%202020.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42264/bioinformatics-jobs-at-acrannolife</guid>
  <pubDate>Sun, 25 Oct 2020 22:51:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics jobs at Acrannolife]]></title>
  <description><![CDATA[
<p>Acrannolife are looking for skilled Bioinformatics Scientists with a minimum of 2yrs Experience in NGS data analysis including Nanopore Sequencing.</p>

<p>This is an opportunity to work on projects that would fundamentally alter the way certain chronic conditions are treated and monitored.</p>

<p>About acrannolife:</p>

<p>We are a team of Post Docs, PhDs, Engineers, Clinicians, and MBAs working towards a future where biology intersects with software(Computational Biology).</p>

<p>We are incubated in Atal Incubation Centre - CCMB and have been backed by some of the leading thought leaders ranging from business to clinical practices.</p>

<p>Interested candidates can fill this form. https://lnkd.in/gtq47hy</p>

<p>and send their CV to hr@acrannolife.com</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42374/postdoc-in-comparative-genomics</guid>
  <pubDate>Tue, 08 Dec 2020 09:26:40 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc in comparative genomics]]></title>
  <description><![CDATA[
<p>We are looking for a highly motivated researcher for an 18 month postdoctoral position collaborating in an exciting project on comparative genomics of marine fish and shellfish species. In the project, we use genome resequencing data from a range of species to reconstruct the demographic history and characterize genomic signals associated with population divergence and local adaptation in high gene flow scenarios. The work will improve our understanding of interacting evolutionary processes and provide valuable data for securing sustainable management and conservation of exploited resources. Applicants are encouraged to develop their own research ideas within this framework.</p>

<p>The fellowship is part of a larger Nordic collaborative project, MarGen_II, financed by the EU Interreg Öresund-Kattegat-Skagerrak Programme, the Danish Rod and Net License Funds and the National Institute of Aquatic Resources (DTU Aqua). The project will primarily be carried out in the population genetics group, Section for Marine Living Resources, situated in Silkeborg, Denmark. DTU Aqua is an institute at the Technical University of Denmark. In addition, the position offers many opportunities for collaborating with Nordic and other European colleagues in the field.</p>

<p>Application:<br />Apply online at<br />https://www.dtu.dk/english/About/JOB-and-CAREER/vacant-positions/job?id=d198fd80-4856-4a56-943d-485106026504.<br />The deadline is 4 January 2021. For further information, please contact<br />Senior Researcher Jakob Hemmer-Hansen, jhh@aqua.dtu.dk.</p>

<p>You can read more about DTU Aqua at www.aqua.dtu.dk<br />and the population genetics group at<br />https://www.aqua.dtu.dk/english/research/population_genetics.</p>

<p>All interested candidates irrespective of age, gender, race, disability,<br />religion or ethnic background are encouraged to apply.</p>

<p>Jakob Hemmer Hansen</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42670/icgeb-bioinformatics-job</guid>
  <pubDate>Sat, 23 Jan 2021 21:01:55 -0600</pubDate>
  <link></link>
  <title><![CDATA[ICGEB Bioinformatics Job]]></title>
  <description><![CDATA[
<p>The following vacancies are available in the various ongoing bioinformatics projects at.<br />Translational Bioinformatics Group (https://www.icgeb.org/dinesh-gupta/), ICGEB, New Delhi, India. Shortlisted candidates will be welcomed for an on-line interview at ICGEB. Only the chosen applicants will be informed individually. Preference will be given to the applicants with experience related to Bioinformatics as well as Computational area.</p>

<p>Interested applicants must submit their complete, updated Curriculum Vitae, mentioning details of two references as well as various other details at – http://14.139.62.220/survey/index.php/2021/01/21/icgeb-dbt-project-vacancy/</p>

<p>The last date of submission of applications is January 31st, 2021.</p>

<p>Research Associate : PhD. Degree in Computational Biology/Bioinformatics.</p>

<p>Consolidated Salary: 58280/- pm (including HRA).</p>

<p>More at https://www.icgeb.org/project-positions-translational-bioinformatics-group/ and https://www.icgeb.org/category/vacancies/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42810/bioinformatics-in-africa-part3-mali</guid>
	<pubDate>Sat, 06 Feb 2021 13:28:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42810/bioinformatics-in-africa-part3-mali</link>
	<title><![CDATA[Bioinformatics in Africa: Part3 - Mali]]></title>
	<description><![CDATA[<p>International&nbsp;Center&nbsp;for&nbsp;Excellence&nbsp;in&nbsp;Research&nbsp;(ICER):</p><p>The&nbsp;ICER&nbsp;is&nbsp;a&nbsp;research&nbsp;center&nbsp;composed&nbsp;of&nbsp;the&nbsp;following&nbsp;three&nbsp;programs: 1. The&nbsp;Malaria&nbsp;Research&nbsp;and&nbsp;Training&nbsp;Center&nbsp;&shy;&nbsp;Parasitology&nbsp;Group,&nbsp; 2. The&nbsp;Malaria&nbsp;Research&nbsp;and&nbsp;Training&nbsp;Center&nbsp;&shy;&nbsp;Entomology&nbsp;Group&nbsp; 3. The&nbsp;SEREFO&nbsp;Group.</p><p>The&nbsp;first&nbsp;two&nbsp;programs&nbsp;develop&nbsp;biomedical&nbsp;researches&nbsp;in&nbsp;malaria,&nbsp;Filariasis&nbsp;and&nbsp;Leishmaniasis.&nbsp;The&nbsp; third&nbsp;program&nbsp;develops&nbsp;biomedical&nbsp;researches&nbsp;in&nbsp;tuberculosis&nbsp;and&nbsp;HIV.</p><p>Bioinformatics&nbsp;was&nbsp;introduced&nbsp;recently&nbsp;to&nbsp;the&nbsp;ICER&nbsp;and&nbsp;is&nbsp;constantly&nbsp;growing.&nbsp;The&nbsp;ICER&nbsp;has&nbsp;one&nbsp; team,&nbsp;headed&nbsp;by&nbsp;Sidy&nbsp;SOUMARE,&nbsp;which&nbsp;supports&nbsp;the&nbsp;three&nbsp;programmes&nbsp;in&nbsp;all&nbsp;their&nbsp;needs&nbsp;in&nbsp; informatics&nbsp;and&nbsp;bioinformatics.&nbsp;This&nbsp;team&nbsp;can&nbsp;beneficiate&nbsp;from&nbsp;some&nbsp;computational&nbsp;facilities&nbsp;(4&nbsp; blast&nbsp;servers,&nbsp;15&nbsp;other&nbsp;servers&nbsp;and&nbsp;around&nbsp;200&nbsp;terminals),&nbsp;but&nbsp;the&nbsp;ICER&nbsp;staff&nbsp;needs&nbsp;some&nbsp;training&nbsp;in&nbsp; order&nbsp;to&nbsp;be&nbsp;able&nbsp;to&nbsp;administrate&nbsp;these&nbsp;facilities.</p><p>Research&nbsp;Interest&nbsp;and&nbsp;Activities: The&nbsp;following&nbsp;are&nbsp;the&nbsp;present&nbsp;areas&nbsp;of&nbsp;research&nbsp;interest: 1. Functional&nbsp;genomics 2. Analysis&nbsp;of&nbsp;microarray&nbsp;data 3. Interaction&nbsp;between&nbsp;the&nbsp;vector&nbsp;and&nbsp;the&nbsp;parasite.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42907/lecturer-in-evolutionary-biology-bioinformatics-at-department-of-zoology-te-tari-matai-kararehe-division-of-sciences-te-rohe-a-ahikaroa</guid>
  <pubDate>Tue, 23 Feb 2021 02:05:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[Lecturer in Evolutionary Biology (Bioinformatics) at DEPARTMENT of ZOOLOGY | TE TARI MĀTAI KARAREHE DIVISION of SCIENCES | TE ROHE A AHIKAROA]]></title>
  <description><![CDATA[
<p>DEPARTMENT of ZOOLOGY | TE TARI MĀTAI KARAREHE<br />DIVISION of SCIENCES | TE ROHE A AHIKAROA</p>

<p>Applications are invited for the position of Lecturer in Evolutionary Biology (Bioinformatics).</p>

<p>We are seeking a person with a relevant doctorate, and demonstrated potential to develop as an outstanding researcher and teacher in evolutionary bioinformatics in the Department of Zoology. The position affords an exciting opportunity for an emerging scholar to research and teach in a vibrant and diverse Department. The successful candidate will develop a transformative and collaborative research program, supporting the university's commitment to excellence in research.</p>

<p>Your skills and experience</p>

<p>A PhD with a background in analysis of high-throughput sequencing data and evolutionary biology.<br />Knowledge of and familiarity with a range of bioinformatics skills, concepts, and practices as they relate to the biology of animals, including genomic, transcriptomic and metabarcoding data analyses.<br />A strong interest, and experience, in research and teaching of bioinformatics and evolutionary genomics.<br />An ability to contribute to teaching and learning environments that support engagement of students and staff with bioinformatics and genomics.<br />Be committed to and or have established connections or track record of working with national and local bioinformaticians. <br />Be committed to being a productive collaborator with a track record of working collegially.<br />Further details</p>

<p>This is a confirmation-path (tenure track) position at the level of Lecturer. The successful candidate is expected to take up duties by 1 July 2021.</p>

<p>To see a full job description and to apply online go to: https://otago.taleo.net/careersection/2/jobdetail.ftl?job=2100342</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35540/hinge-long-read-assembly-achieves-optimal-repeat-resolution</guid>
	<pubDate>Wed, 07 Feb 2018 09:40:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35540/hinge-long-read-assembly-achieves-optimal-repeat-resolution</link>
	<title><![CDATA[HINGE: Long-Read Assembly Achieves Optimal Repeat Resolution]]></title>
	<description><![CDATA[<p>Software accompanying "HINGE: Long-Read Assembly Achieves Optimal Repeat Resolution"</p>
<ul>
<li>
<p>Preprint:&nbsp;<a href="http://biorxiv.org/content/early/2016/08/01/062117">http://biorxiv.org/content/early/2016/08/01/062117</a></p>
</li>
<li>
<p>Paper:&nbsp;<a href="http://genome.cshlp.org/content/27/5/747.full">http://genome.cshlp.org/content/27/5/747.full</a></p>
</li>
<li>
<p>An ipython notebook to reproduce results in the paper can be found in this&nbsp;<a href="https://github.com/govinda-kamath/HINGE-analyses">repository</a>.</p>
</li>
</ul>
<p>HINGE is an OLC(Overlap-Layout-Consensus) assembler. The idea of the pipeline is shown below.</p>
<p><a href="https://github.com/HingeAssembler/HINGE/blob/master/misc/High_level_overview.png" target="_blank"><img src="https://github.com/HingeAssembler/HINGE/raw/master/misc/High_level_overview.png" alt="image" style="border: 0px;"></a></p><p>Address of the bookmark: <a href="https://github.com/HingeAssembler/HINGE" rel="nofollow">https://github.com/HingeAssembler/HINGE</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36514/evidentialgene-tr2aacds-mrna-transcript-assembly-software</guid>
	<pubDate>Tue, 08 May 2018 04:39:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36514/evidentialgene-tr2aacds-mrna-transcript-assembly-software</link>
	<title><![CDATA[EvidentialGene: tr2aacds, mRNA Transcript Assembly Software]]></title>
	<description><![CDATA[<p><span>EvidentialGene is a genome informatics project, "Evidence Directed Gene Construction for Eukaryotes", to construct high quality, accurate gene sets for animals and plants, developed by Don Gilbert at Indiana University, see</span><br><a href="http://arthropods.eugenes.org/EvidentialGene/" target="_blank">http://arthropods.eugenes.org/EvidentialGene/<span></span></a><br><br><span>Construction refers to the combination of classical gene prediction, and more recent gene assembly (de-novo and genome-assisted) methods. The basic Evigene methods involve using available best-of-breed gene prediction and assembly software, combining all evidence for genes, from expressed sequences, genome assembly sequences, related species protein sequences, and any other, to annotate and score gene constructions. Over-produced constructions are classified by gene evidence for best qualities per "locus", including genome-aligned and gene-transcript aligned (genome-free) locus identification. All software developed for EvidentialGene is publicly available. See project wiki/blog for notes.</span></p>
<p><span>Download&nbsp;</span></p>
<p>http://arthropods.eugenes.org/EvidentialGene/trassembly.html</p>
<p>https://sourceforge.net/p/evidentialgene/blog/</p><p>Address of the bookmark: <a href="http://arthropods.eugenes.org/EvidentialGene/trassembly.html" rel="nofollow">http://arthropods.eugenes.org/EvidentialGene/trassembly.html</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

</channel>
</rss>