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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27685?offset=250</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</guid>
	<pubDate>Thu, 13 Feb 2020 00:20:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</link>
	<title><![CDATA[genomics public data links !]]></title>
	<description><![CDATA[<p>List of publically available databases on google server.</p>
<p>More at <a href="https://software.broadinstitute.org/gatk/download/bundle">https://software.broadinstitute.org/gatk/download/bundle</a></p>
<p><a href="ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/">ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/</a>.</p>
<p><a href="ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/">ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/</a></p><p>Address of the bookmark: <a href="https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1" rel="nofollow">https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11355/genomics-and-personalized-medicine-breakthroughs</guid>
	<pubDate>Sun, 01 Jun 2014 23:40:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11355/genomics-and-personalized-medicine-breakthroughs</link>
	<title><![CDATA[Genomics and Personalized Medicine Breakthroughs]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/VAR-1vNc0TE" frameborder="0" allowfullscreen></iframe>http://bit.ly/e8QGzY Human genome mapping is now enabling a breakthrough in medical innovation -- personalized medicine. What does this mean for patients? We can now identify predispositions to disease, predict how we metabolize drugs, and figure out what kinds of treatments we may respond to, and even determine when a drug may give us an adverse reaction. All medical specialties benefit from human genome intelligence -- oncology saw the first impacts -- but advances are now being seen in cardiology, obstetrics and gynecology, pediatric diseases, gastroenterology, rheumatology, immunology and other areas. This video covers the areas that genetic medicine is impacting and where the future of genomic medicine is heading.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43319/k-mers-tutorial-classification-and-taxonomy</guid>
	<pubDate>Thu, 26 Aug 2021 10:28:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43319/k-mers-tutorial-classification-and-taxonomy</link>
	<title><![CDATA[k-mers tutorial - classification and taxonomy]]></title>
	<description><![CDATA[<p>DNA k-mers underlie much of our assembly work, and we (along with many others!) have spent a lot of time thinking about how to&nbsp;<a href="http://www.pnas.org/content/109/33/13272">store k-mer graphs efficiently</a>,&nbsp;<a href="http://ivory.idyll.org/blog/what-is-diginorm.html">discard redundant data</a>, and&nbsp;<a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0101271">count them efficiently</a>.</p>
<p>More recently, we've been enthused about&nbsp;<a href="http://joss.theoj.org/papers/3d793c6e7db683bee7c03377a4a7f3c9">using k-mer based similarity measures</a>&nbsp;and&nbsp;<a href="http://ivory.idyll.org/blog/2016-sourmash-sbt.html">computing and searching k-mer-based sketch search databases for all the things</a>.</p>
<p>But I haven't spent too much talking about using k-mers for taxonomy, although that has become an&nbsp;<em>ahem</em>&nbsp;area of interest recently,&nbsp;<a href="http://www.biorxiv.org/content/early/2017/07/03/155358">if you read into our papers a bit</a>.</p>
<p>In this blog post I'm going to fix this by doing a little bit of a literature review and waxing enthusiastic about other people's work. Then in a future blog post I'll talk about how we're building off of this work in fun! and interesting? ways!</p><p>Address of the bookmark: <a href="http://ivory.idyll.org/blog/2017-something-about-kmers.html" rel="nofollow">http://ivory.idyll.org/blog/2017-something-about-kmers.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/11441/assistant-professor-in-bioinformatics-at-dr-d-y-patil-biotechnology-bioinformatics-institute</guid>
  <pubDate>Tue, 03 Jun 2014 19:54:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor 	in Bioinformatics at Dr. D. Y. Patil Biotechnology &amp; Bioinformatics Institute]]></title>
  <description><![CDATA[
<p>Dr. D. Y. Patil Biotechnology &amp; Bioinformatics Institute <br />Tathawade, Pune 411033.</p>

<p>Assistant Professor 	in Bioinformatics </p>

<p>Essential :<br />First Class Master’s Degree in the appropriate branch of Life Sciences / Technology (Tech.)<br />OR<br />Ph.D in Life Sciences or in the respective subject area of specialization<br />OR<br />Good Academic record with at least 55% marks (or an equivalent grade) at the Master’s Degree level, in the relevant subject or an equivalent degree from an Indian / Foreign University.<br />Besides fulfilling the above qualifications, candidates should have cleared the eligibility test (NET) for lecturers conducted by the UGC, CSIR or similar test accredited by the UGC and as per the requirements of UGC guidelines.</p>

<p>Desirable :<br />Teaching, research industrial and/or professional experience in a reputed organization. <br />Papers presented at Conferences and/or in refereed journals</p>

<p>Note : Application are invited in prescribed form Click here for Application Form<br />Kindly send your applications to “Registrar, Dr. D. Y. Patil Vidyapeeth, Pune, Sant Tukaram Nagar, Pimpri, Pune – 411018., Maharashtra, India.” should reach in the University office within 15 days from the publication.</p>

<p>More Info: http://www.dpu.edu.in/BiotechResearchPositions.aspx</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43916/understanding-dump-files-from-ncbi-taxonomy-database</guid>
	<pubDate>Fri, 15 Jul 2022 04:29:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43916/understanding-dump-files-from-ncbi-taxonomy-database</link>
	<title><![CDATA[Understanding DUMP files from NCBI Taxonomy database !]]></title>
	<description><![CDATA[<p>*.dmp files are bcp-like dump from GenBank taxonomy database</p><p>General information.</p><p>Field terminator is "\t|\t"</p><p>Row terminator is "\t|\n"</p><p>&nbsp;</p><p>nodes.dmp file consists of taxonomy nodes. The description for each node includes the following</p><p>fields:</p><p>tax_id -- node id in GenBank taxonomy database</p><p>&nbsp; parent tax_id -- parent node id in GenBank taxonomy database</p><p>&nbsp; rank -- rank of this node (superkingdom, kingdom, ...)&nbsp;</p><p>&nbsp; embl code -- locus-name prefix; not unique</p><p>&nbsp; division id -- see division.dmp file</p><p>&nbsp; inherited div flag&nbsp; (1 or 0) -- 1 if node inherits division from parent</p><p>&nbsp; genetic code id -- see gencode.dmp file</p><p>&nbsp; inherited GC&nbsp; flag&nbsp; (1 or 0) -- 1 if node inherits genetic code from parent</p><p>&nbsp; mitochondrial genetic code id -- see gencode.dmp file</p><p>&nbsp; inherited MGC flag&nbsp; (1 or 0) -- 1 if node inherits mitochondrial gencode from parent</p><p>&nbsp; GenBank hidden flag (1 or 0)&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -- 1 if name is suppressed in GenBank entry lineage</p><p>&nbsp; hidden subtree root flag (1 or 0) &nbsp; &nbsp; &nbsp; -- 1 if this subtree has no sequence data yet</p><p>&nbsp; comments -- free-text comments and citations</p><p>&nbsp;</p><p>Taxonomy names file (names.dmp):</p><p>tax_id -- the id of node associated with this name</p><p>name_txt -- name itself</p><p>unique name -- the unique variant of this name if name not unique</p><p>name class -- (synonym, common name, ...)</p><p>&nbsp;</p><p>Divisions file (division.dmp):</p><p>division id -- taxonomy database division id</p><p>division cde -- GenBank division code (three characters)</p><p>division name -- e.g. BCT, PLN, VRT, MAM, PRI...</p><p>comments</p><p>&nbsp;</p><p>Genetic codes file (gencode.dmp):</p><p>genetic code id -- GenBank genetic code id</p><p>abbreviation -- genetic code name abbreviation</p><p>name -- genetic code name</p><p>cde -- translation table for this genetic code</p><p>starts -- start codons for this genetic code</p><p>&nbsp;</p><p>Deleted nodes file (delnodes.dmp):</p><p>tax_id -- deleted node id</p><p>&nbsp;</p><p>Merged nodes file (merged.dmp):</p><p>old_tax_id&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -- id of nodes which has been merged</p><p>new_tax_id&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -- id of nodes which is result of merging</p><p>Citations file (citations.dmp):</p><p>cit_id -- the unique id of citation</p><p>cit_key -- citation key</p><p>pubmed_id -- unique id in PubMed database (0 if not in PubMed)</p><p>medline_id -- unique id in MedLine database (0 if not in MedLine)</p><p>url -- URL associated with citation</p><p>text -- any text (usually article name and authors).</p><p>-- The following characters are escaped in this text by a backslash:</p><p>-- newline (appear as "\n"),</p><p>-- tab character ("\t"),</p><p>-- double quotes ('\"'),</p><p>-- backslash character ("\\").</p><p>taxid_list -- list of node ids separated by a single space</p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/11656/faculty-post-at-zhejiang-university</guid>
  <pubDate>Tue, 10 Jun 2014 03:40:40 -0500</pubDate>
  <link></link>
  <title><![CDATA[Faculty post at Zhejiang University]]></title>
  <description><![CDATA[
<p>Zhejiang University (ZJU) is seeking faculty candidates for its newly launched, highly competitive and well funded “Hundred Talents Program”. This search covers all colleges and departments at ZJU. Applicants, expected to be about 35 years old, should hold PhD degree, and postdoctoral experiences are preferred for applicants in most fields. Applicants should have demonstrated commitment to excellence in teaching and research at a level comparable to the academic achievement of assistant professor or associate professor in world-renowned universities. Successful candidates must work full-time and are expected to establish internationally competitive and independent research program in cutting-edge areas of the relevant field at ZJU.</p>

<p>As one of the leading research-intensive universities in China, ZJU is located in the beautiful city of Hangzhou. Successful candidates will be employed as Principal Investigators and are qualified to supervise doctoral students. ZJU will offer an internationally competitive salary and the opportunity to purchase university's apartment at a price much lower than the market price, and will provide office and laboratory spaces as well as internationally competitive research startup packages.</p>

<p>Qualified applicants are strongly encouraged to submit their applications electronically to tr@zju.edu.cn. Applicants should include the following materials in pdf format: a comprehensive CV, a statement of research and teaching plan, and a list of 3 to 5 references with detailed contact information.</p>

<p>Contact：Talents Office, ZJU</p>

<p>Tel：+86-571-88981345, +86-571-88981390</p>

<p>Fax：+86-571-88981976</p>

<p>E-mail:tr@zju.edu.cn</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/28040/tool-gene-set-clustering-based-on-functional-annotation-genescf</guid>
	<pubDate>Fri, 24 Jun 2016 17:30:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/28040/tool-gene-set-clustering-based-on-functional-annotation-genescf</link>
	<title><![CDATA[Tool: Gene Set Clustering based on Functional annotation (GeneSCF)]]></title>
	<description><![CDATA[<p><img src="http://genescf.kandurilab.org/pics/genescf_logo.png" alt="image" width="500" height="90," style="border: 0px; border: 0px;"></p><p>&nbsp;</p><p>-----------</p><p>&nbsp;</p><h1><strong>Gene Set Clustering based on Functional annotation</strong></h1><p>&nbsp;</p><p>GeneSCF serves as command line tool for clustering the list of genes given by the users based on functional annotation (Gene Ontology, KEGG, REACTOME and <a href="http://ncg.kcl.ac.uk/ncg4/" target="new">NCG 4.0</a>). It requires gene list in the form of Entrez Gene ID (UIDs) or Official gene symbols as a input. GeneSCF supports more organisms from V1.1. Examples to download database as simple text file using GeneSCF "prepare_database" module, 1) https://www.biostars.org/p/197414/#197416 , 2) https://www.biostars.org/p/191532/#191540</p><p>&nbsp;</p><p>The advantage of using GeneSCF over other enrichment tools is that, it performs enrichment analysis in real-time (v1.1 and above) by accessing source databases. With command-line versions of tools, as you know you can run multiple gene list simultaneously.</p><p>&nbsp;</p><p>------------</p><p>&nbsp;</p><table>
<tbody>
<tr>
<td><br /><strong><em>Home page:</em></strong><br /><br />http://genescf.kandurilab.org/<br /><br /></td>
</tr>
</tbody>
</table><p>&nbsp;</p><p><strong><em>Requirement:</em></strong></p><p>&nbsp;</p><p><br />GeneSCF only works on Linux system, it has been successfully tested on Ubuntu, Mint and Cent OS. Other distributions of Linux might work as well.<br /><br /></p><p>&nbsp;</p><p><br /><em><strong>Documentation:</strong></em><br /><br />http://genescf.kandurilab.org/documentation.php<br /><br /></p><p>&nbsp;</p><p><br /><em><strong>Report issues </strong></em>on <a href="https://www.biostars.org/p/108669/" target="new"> Biostars</a> or <a href="https://github.com/santhilalsubhash/geneSCF" target="new">GitHub Project page</a></p><p>&nbsp;</p><p><img src="http://genescf.kandurilab.org/pics/workflow.png" alt="image" width="280" height="250," style="border: 0px; border: 0px;"><br /><br />----------</p>]]></description>
	<dc:creator>EagleEye</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43877/crowdgo-machine-learning-and-semantic-similarity-guided-consensus-gene-ontology-annotation</guid>
	<pubDate>Thu, 26 May 2022 00:59:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43877/crowdgo-machine-learning-and-semantic-similarity-guided-consensus-gene-ontology-annotation</link>
	<title><![CDATA[CrowdGO: Machine learning and semantic similarity guided consensus Gene Ontology annotation]]></title>
	<description><![CDATA[<p dir="auto">CrowdGO is a protein Gene Ontology predictor using a meta approach, analyzing the predictions of other tools in order to get an improved precision and recall.</p>
<p dir="auto">Please note that the CrowdGO snakemake workflow is currently only tested on Ubuntu. It should work on OSX, but please report any errors to <a href="mailto:maarten.reijnders@unil.ch">maarten.reijnders@unil.ch</a> or create an issue.</p>
<p>https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010075</p><p>Address of the bookmark: <a href="https://gitlab.com/mreijnders/crowdgo" rel="nofollow">https://gitlab.com/mreijnders/crowdgo</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/12288/genomic-medicine-bruce-korf-2014</guid>
	<pubDate>Tue, 24 Jun 2014 07:58:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/12288/genomic-medicine-bruce-korf-2014</link>
	<title><![CDATA[Genomic Medicine - Bruce Korf (2014)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/FYldIrsXHKw" frameborder="0" allowfullscreen></iframe>May 21, 2014 - Current Topics in Genome Analysis 2014
A lecture series covering contemporary areas in genomics and bioinformatics. More: http://www.genome.gov/COURSE2014]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12594/faculty-positions-at-central-university-of-punjab</guid>
  <pubDate>Mon, 07 Jul 2014 23:33:33 -0500</pubDate>
  <link></link>
  <title><![CDATA[Faculty Positions at Central University of Punjab]]></title>
  <description><![CDATA[
<p>Faculty Positions: Rolling/Open Advertisement Advt.No: T-10 (2013)</p>

<p>Pay Scale: Pay Band Rs.15600-39100 with AGP of Rs.6,000/-</p>

<p>Essential Qualifications for Professors, Associate Professors, and Assistant Professors: As per “UGC REGULATIONS ON MINIMUM QUALIFICATIONS FOR APPOINTMENT OF TEACHERS AND OTHER ACADEMIC STAFF IN UNIVERSITIES AND COLLEGES AND MEASURES FOR THE MAINTENANCE OF STANDARDS IN HIGHER EDUCATION 2010“ and the 2nd Amendments to the regulation issued in June 2013.</p>

<p>For details: http://www.ugc.ac.in/oldpdf/regulations/revised_finalugcregulationfinal10.pdf http://www.ugc.ac.in/pdfnews/8539300_English.pdf and University rules.</p>

<p>Procedure to apply:</p>

<p>Application forms along with API form complete in all respect along with necessary documents and application fee of Rs. 500/-. (Rs. 250/- for Scheduled Caste/Scheduled Tribe/Person with disabilities) should be sent to:</p>

<p>Registrar, Central University of Punjab, City Campus, Mansa Road, Bathinda-151001</p>

<p>For more info visit: http://www.centralunipunjab.com/Teaching/Final%20Details-t10-2013.pdf, http://www.centralunipunjab.com/Teaching/Advertisement-t10-2013.jpg</p>

<p>Last Apply Date: 31 Dec 2014</p>
]]></description>
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