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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29305?offset=1200</link>
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	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38672/ltr-retriever-accurately-identifies-and-annotates-ltr-retrotransposons-and-use-lai-to-evaluates-the-continuity-of-genome-assemblies</guid>
	<pubDate>Sun, 13 Jan 2019 07:14:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38672/ltr-retriever-accurately-identifies-and-annotates-ltr-retrotransposons-and-use-lai-to-evaluates-the-continuity-of-genome-assemblies</link>
	<title><![CDATA[LTR_retriever: accurately identifies and annotates LTR retrotransposons and use LAI to evaluates the continuity of genome assemblies.]]></title>
	<description><![CDATA[<p>LTR_retriever is a command line program (in Perl) for accurate identification of LTR retrotransposons (LTR-RTs) from outputs of LTRharvest, LTR_FINDER, and/or MGEScan-LTR and generating non-redundant LTR-RT library for genome annotations.</p>
<p>By default, the program will generate whole-genome LTR-RT annotation and the LTR Assembly Index (LAI) for evaluations of the assembly continuity of the input genome. Users can also run LAI separately (see&nbsp;<code>Usage</code>).</p><p>Address of the bookmark: <a href="https://github.com/oushujun/LTR_retriever" rel="nofollow">https://github.com/oushujun/LTR_retriever</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/14758/phd-opportunity-at-universite-de-liege-belgium</guid>
  <pubDate>Mon, 01 Sep 2014 17:16:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[PhD opportunity at Université de Liège - Belgium]]></title>
  <description><![CDATA[
<p>The Bioinformatics and Systems Biology Unit of Université de Liège (Belgium) is looking for a highly motivated master student with programming skills for a PhD thesis project (4 years, fully funded) with the goal of designing computational tools that use literature, genomic and structural data in order to infer regulatory and metabolic networks.  </p>

<p>Applicants are invited to send their resume and a recommendation letter to Prof. Patrick Meyer (more details at   www.biosys.ulg.ac.be )</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39253/gmass-a-novel-measure-for-genomeassembly-structural-similarity</guid>
	<pubDate>Sun, 14 Apr 2019 20:35:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39253/gmass-a-novel-measure-for-genomeassembly-structural-similarity</link>
	<title><![CDATA[GMASS: a novel measure for genomeassembly structural similarity]]></title>
	<description><![CDATA[<div id="Abstract">
<div id="ASec3">
<p id="Par3">The GMASS score is a novel measure for representing structural similarity between two assemblies. It will contribute to the understanding of assembly output and developing de novo assemblers.</p>
<p><a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2710-z">https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2710-z</a></p>
</div>
</div><p>Address of the bookmark: <a href="http://bioinfo.konkuk.ac.kr/GMASS/htdocs/syncircos.php" rel="nofollow">http://bioinfo.konkuk.ac.kr/GMASS/htdocs/syncircos.php</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/14905/internship-in-computational-biology</guid>
  <pubDate>Thu, 04 Sep 2014 04:19:40 -0500</pubDate>
  <link></link>
  <title><![CDATA[Internship in Computational Biology]]></title>
  <description><![CDATA[
<p>We are looking for a motivated and autonomous intern to study gene expression in hybrid organisms. The student will work on natural hybrids of two or three different species of fungal endosymbionts of grasses. The pupose of this project is to build software allowing us to identify the genomic origin of expressed genes. To do that, the intern will have to analyze expression data (from RNA-seq) to find SNPs on the sequenced mRNAs allowing to identify from which of the parental genome the expressed gene come from. The data will have to be saved in a database using the standard BioSQL schema.</p>

<p>This job will allow the intern to become more familiar with new biological and bioinformatics tools like next generation sequencing, RNA-Seq data analysis and comparative genomics.</p>

<p>To apply for this position, send the following documents (in PDF format) to Dr Pierre-Yves Dupont (email p.y.dupont@massey.ac.nz):</p>

<p>1. A short cover letter.<br />2. A curriculum vitae, with transcript details.<br />3. The names and contact details of two referees willing to provide a confidential letter of recommendation upon request.</p>

<p>Informal enquiries are welcome. Formal applications are due by Sunday 2nd December 2012.<br />Requirements: </p>

<p>This position requires a good understanding of genetic problems, a good command of at least one scripting language (Perl, Python...), a basic knowledge of MySQL or any relational database management system. Knowledge in biological programming libraries (BioPython, BioPerl, BioRuby...), Java, C++ or any compiled language is an asset but not required. Undergraduate or Master degree is required.<br />Contact Information: </p>

<p>Dr. Pierre-Yves Dupont<br />Institute of Molecular BioSciences<br />Massey University<br />Private Bag 11 222<br />Palmerston North 4442<br />NEW ZEALAND</p>

<p>http://massey.genomicus.com/<br />p.y.dupont@massey.ac.nz</p>

<p>Information about the Institute of Molecular BioSciences (http://imbs.massey.ac.nz/) and the Computational Biology Research Group (http://massey.genomicus.com/) is available online. For more information about the position, you can contact Dr Pierre-Yves Dupont (email p.y.dupont@massey.ac.nz).</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39903/integrative-meta-assembly-pipeline-imap-chromosome-level-genome-assembler-combining-multiple-de-novo-assemblies</guid>
	<pubDate>Sat, 31 Aug 2019 11:30:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39903/integrative-meta-assembly-pipeline-imap-chromosome-level-genome-assembler-combining-multiple-de-novo-assemblies</link>
	<title><![CDATA[Integrative Meta-Assembly Pipeline (IMAP): Chromosome-level genome assembler combining multiple de novo assemblies]]></title>
	<description><![CDATA[<p><span>Chromosome-level genome assembler combining multiple de novo assemblies</span></p>
<p><span><a href="https://github.com/jkimlab/IMAP">https://github.com/jkimlab/IMAP</a></span></p><p>Address of the bookmark: <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221858" rel="nofollow">https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221858</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/16158/bioinformatics-position-at-irccs-casa-sollievo-della-sofferenza</guid>
  <pubDate>Wed, 10 Sep 2014 14:25:34 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics position at IRCCS Casa Sollievo della Sofferenza]]></title>
  <description><![CDATA[
<p>The bioinformatics unit at IRCCS Casa Sollievo della Sofferenza - Mendel laboratory in Rome is looking for one young bioinformatician with specific experience and/or interest in the analysis of genomics and transcriptomic data.</p>

<p>The candidate will be mainly in charge of developing research on Gene Expression/SNP Arrays data, NGS whole -exome and -transcriptome datasets and biological networks in the contexts of genetic diseases, innovative therapies and regenerative medicine. Main activities will be: (i) data analysis (short-reads mapping, genomics aberrations discovery and annotation, variants pathogenicity detection); (ii) functional/pathway enrichment analysis; (iii) biological networks analysis (artificial knockout, redundancy and lethality analysis, gene set essentiality); (iv) developing of ad-hoc software solutions/routines on clusters of CPUs and GPUs.</p>

<p>The correct cultural background (training in Biology / Computer Science / Statistics or a mix of the three) and a strong interest in working in high throughput data analysis will be considered at the same level of specific experience in the above-mentioned fields.</p>

<p>Knowledge of molecular modeling and simulation and willingness to learn one or more of these languages: python, perl, R, Java, C++, C# is a golden plus. Good knowledge of Scientific English will be positively evaluated for this position, together with good presentation and teamwork skills.</p>

<p>Candidates should send:<br />• a cover letter explaining the role they would like to undertake within the Center, even if it is not listed in this job adv, stating clearly why they would be a good fit to the proposed role, and what they would bring to the Center in terms of expertise, ideas, talent;<br />• a CV including a list of publications;<br />• List of referees.</p>

<p>A CV with one professional reference, details on educational background and of the biological and/or bioinformatic and/or data analysis skills and experience should be sent by email for a preliminary selection to: Tommaso Mazza t.mazza@css-mendel.it</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/17187/urdip-bioinformatics-rajrf-vacancies</guid>
  <pubDate>Sat, 20 Sep 2014 20:52:56 -0500</pubDate>
  <link></link>
  <title><![CDATA[URDIP Bioinformatics RA/JRF Vacancies]]></title>
  <description><![CDATA[
<p>CSIR - UNIT FOR RESEARCH AND DEVELOPMENT OF INFORMATION PRODUCTS (CSIR- URDIP)</p>

<p>Adv. No. URDIP/ 6/2014</p>

<p>Opportunity for young Bioinformatics Professionals to make a career in the area of Intellectual Property CSIR has set up a Unit for Research and Development of Information Products (CSIR-URDIP) at Pune to work in the area of scientific informatics. One of the major focus areas of research work at CSIR-URDIP is PATENT INFORMATICS. With the increasing applications of Bioinformatics in the areas of life sciences industry such as Agriculture and Health Care (Diagnostics and Drugs), the output of research in these area is being protected by different forms of Intellectual Property rights. Realizing the importance of IP in the Bioinformatics field, Department of Biotechnology (DBT) has sanctioned a project on “Development, Facilitation and Harvesting of Bioinformatics related Intellectual Property” at CSIR-URDIP.</p>

<p>The project will involve application of Patent Informatics tools and techniques to Bioinformatics (including creation of patent landscapes, preparation of techno-legal reports of patentability, freedom to operate studies) to help protect IPRs and develop and conduct training programmes on IPRs related to Bioinformatics.</p>

<p>CSIR-URDIP invites applications from young Bioinformatics professionals to work on this emerging area which offers challenging opportunities and attractive career possibilities in future.</p>

<p>Position I: Research Associate</p>

<p>No of Positions: One</p>

<p>Consolidated amount Payable: Rs. 22,000/- per month + 20% HRA= Rs.26,400</p>

<p>Qualification:  PhD in Bioinformatics. In exceptional cases, candidature of M. Tech. candidates with First class in Bioinformatics with three years of relevant work experience will also be considered.</p>

<p>Age Limit: 35 years. The age should not exceed the limit indicated as on a closing date of receipt of completed application form.</p>

<p>Upper age limit is relaxable for 5 years for SC/ST, OBC, Physically handicapped and female candidates as per CSIR/Government of India rules.</p>

<p>Position II: Junior Research Fellow</p>

<p>No of Positions: one</p>

<p>Consolidated amount Payable: Rs. 16,000/- + 20% HRA = 19,200</p>

<p>Qualification: M.Sc / BE or equivalent in Bioinformatics with minimum of 55% marks in aggregate Job requirement: Scientific literature and patent search, analysis and Report Writing</p>

<p>Preference: Preference will be given to candidates with knowledge of patents and or 1-2 years of experience + Knowledge of Computers (MS Excel + Word Processing)</p>

<p>Age Limit: 28 years. The age should not exceed the limit indicated as on a closing date of receipt of completed application form.</p>

<p>For details please visit our website (www.urdip.res.in/careers) for further details and apply online by 30th September, 2014.</p>

<p>Advertisement: http://www.urdip.res.in/download/Advt6_2014.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/40789/complete-genome-sequence-of-wuhan-seafood-market-pneumonia-virus-is-out</guid>
	<pubDate>Fri, 31 Jan 2020 02:36:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/40789/complete-genome-sequence-of-wuhan-seafood-market-pneumonia-virus-is-out</link>
	<title><![CDATA[Complete genome sequence of Wuhan seafood market pneumonia virus is out !]]></title>
	<description><![CDATA[<p>Wuhan-Hu-1 claimed at least 40 lives and infected at least 1300 others in China. Cases are now being reported from Thailand, Singapore, Malaysia, South Korea, Japan, Vietnam, Nepal, France, Australia and even as far as the US.&nbsp;On Jan 10 2020, while news of the first fatality was barely trickling in, the <a href="https://www.ncbi.nlm.nih.gov/nuccore/MN908947">29,903 letters</a> constituting the viral genome from an affected individual in Wuhan had already been elucidated (even though a few corrections were made subsequently). All the viral genome sequences from affected individuals are very very close to each other. Several are identical and none has more than 5 differences (99.983% similarity). This strongly suggests that transmission into humans came from a single pointed source and happened very recently, between Sep-Dec 2019.</p><p>Check out the detail at https://www.ncbi.nlm.nih.gov/nuccore/MN908947</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/17176/arvados</guid>
	<pubDate>Sat, 20 Sep 2014 16:54:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/17176/arvados</link>
	<title><![CDATA[Arvados]]></title>
	<description><![CDATA[<p>Arvados is a free and open&nbsp;source bioinformatics&nbsp;platform for genomic and&nbsp;biomedical data. User can&nbsp;Store | Organize | Compute | Share the data for free.&nbsp;</p>
<p><img src="https://arvados.org/images/dax.png" width="400" height="535" alt="image" style="border: 0px;"></p><p>Address of the bookmark: <a href="https://arvados.org/" rel="nofollow">https://arvados.org/</a></p>]]></description>
	<dc:creator>Martin Jones</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41207/blobtoolkit-a-toolkit-for-genome-assembly-qc</guid>
	<pubDate>Fri, 21 Feb 2020 00:17:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41207/blobtoolkit-a-toolkit-for-genome-assembly-qc</link>
	<title><![CDATA[BlobToolKit: A toolkit for genome assembly QC]]></title>
	<description><![CDATA[<p>Filtering raw genomic datasets is essential to avoid chimeric assemblies and to increase the validity of sequence-based biological inference. BlobToolKit extends the BlobTools<span>1</span>/Blobology<span>2</span>&nbsp;approach to simplify interactive and reproducible filtering.</p>
<p>BlobToolKit is comprised of four components:</p>
<ol>
<li><a href="https://blobtoolkit.genomehubs.org/btk-viewer/">BlobToolKit Viewer</a>&nbsp;allows browser-based interactive visualisation and filtering of preliminary or published genomic datasets even for highly fragmented assemblies.</li>
<li><a href="https://blobtoolkit.genomehubs.org/blobtools2/">BlobTools2</a>&nbsp;is a command-line program to convert assemblies and analysis results into datasets that can be further processed using&nbsp;<a href="https://blobtoolkit.genomehubs.org/blobtools2/">BlobTools2</a>&nbsp;and/or visualised in the Viewer.</li>
<li>The&nbsp;<a href="https://blobtoolkit.genomehubs.org/specification/">BlobToolKit Specification</a>&nbsp;features a formal schema and validator for the JSON-based BlobDir format used by&nbsp;<a href="https://blobtoolkit.genomehubs.org/blobtools2/">BlobTools2</a>&nbsp;and the&nbsp;<a href="https://blobtoolkit.genomehubs.org/btk-viewer/">Viewer</a>.</li>
<li>The&nbsp;<a href="https://blobtoolkit.genomehubs.org/pipeline/">BlobToolKit Pipeline</a>&nbsp;is a configurable Snakemake pipeline that automates all steps from retrieving public datasets through running analyses and generating a BlobDir dataset with&nbsp;<a href="https://blobtoolkit.genomehubs.org/blobtools2/">BlobTools2</a>, ready for visualisation in the&nbsp;<a href="https://blobtoolkit.genomehubs.org/btk-viewer/">Viewer</a>.</li>
</ol>
<p>Paper&nbsp;<a href="https://www.biorxiv.org/content/10.1101/844852v1.full.pdf">https://www.biorxiv.org/content/10.1101/844852v1.full.pdf</a></p><p>Address of the bookmark: <a href="https://blobtoolkit.genomehubs.org/" rel="nofollow">https://blobtoolkit.genomehubs.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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