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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29384?offset=720</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44279/bioinformatics-training-material</guid>
	<pubDate>Sat, 18 Mar 2023 11:26:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44279/bioinformatics-training-material</link>
	<title><![CDATA[Bioinformatics Training Material !]]></title>
	<description><![CDATA[<p><span>Glittr</span>&nbsp;is a curated list of bioinformatics training material.<br>All material is:</p>
<ul>
<li>In a GitHub or GitLab repository</li>
<li>Free to use</li>
<li>Written in markdown or similar</li>
</ul>
<p><span>NOTE:</span>&nbsp;This list of courses is selected only based on the above criteria.<br>There are no checks on quality.</p>
<p>https://glittr.org/?per_page=25&amp;sort_by=stargazers&amp;sort_direction=desc</p><p>Address of the bookmark: <a href="https://glittr.org/?per_page=25&amp;sort_by=stargazers&amp;sort_direction=desc" rel="nofollow">https://glittr.org/?per_page=25&amp;sort_by=stargazers&amp;sort_direction=desc</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23924/embl-postdoc-position-in-bacterial-gene-gain-loss</guid>
  <pubDate>Thu, 20 Aug 2015 14:09:21 -0500</pubDate>
  <link></link>
  <title><![CDATA[EMBL Postdoc position in Bacterial Gene Gain Loss]]></title>
  <description><![CDATA[
<p>A post-doctoral fellowship is available in the research groups of Nick Goldman (EBI) and John Welch (Genetics Department, Cambridge University) under the EMBL-EBI / Cambridge Computational Biomedical Postdoctoral Fellowship scheme.</p>

<p>The project is on bacterial gene gain and loss and emerging pathogenicity, and is described in full here: https://www.ebi.ac.uk/research/postdocs/ebpods/projects/goldman-welch-2015 . The EMBL-EBI / Cambridge Computational Biomedical Postdoctoral (“EBPOD”) </p>

<p>The closing date for applications is 3 September 2015. Nick Goldman EMBL-European Bioinformatics Institute Nick Goldman </p>

<p>More at https://www.ebi.ac.uk/research/postdocs/ebpods/projects/goldman-welch-2015</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44581/biokit-a-set-of-tools-dedicated-to-bioinformatics-data-visualisation</guid>
	<pubDate>Tue, 18 Jun 2024 02:04:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44581/biokit-a-set-of-tools-dedicated-to-bioinformatics-data-visualisation</link>
	<title><![CDATA[BioKit: a set of tools dedicated to bioinformatics, data visualisation]]></title>
	<description><![CDATA[<p><span>BioKit is a set of tools dedicated to bioinformatics, data visualisation (</span><a href="https://biokit.readthedocs.io/en/latest/references.html#module-biokit.viz" title="biokit.viz"><code><span>biokit.viz</span></code></a><span>), access to online biological data (e.g. UniProt, NCBI thanks to bioservices). It also contains more advanced tools related to data analysis (e.g.,&nbsp;</span><a href="https://biokit.readthedocs.io/en/latest/references.html#module-biokit.stats" title="biokit.stats"><code><span>biokit.stats</span></code></a><span>). Since R is quite common in bioinformatics, we also provide a convenient module to run R inside your Python scripts or shell (:mod:biokit.rtools module).</span></p><p>Address of the bookmark: <a href="https://biokit.readthedocs.io/en/latest/index.html" rel="nofollow">https://biokit.readthedocs.io/en/latest/index.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/5254/mike-ritchie-lab</guid>
  <pubDate>Wed, 02 Oct 2013 15:25:45 -0500</pubDate>
  <link></link>
  <title><![CDATA[Mike Ritchie Lab]]></title>
  <description><![CDATA[
<p>Mike Ritchie Lab primary research focus is the detection of susceptibility genes for common diseases such as cancer, diabetes, hypertension, and cardiovascular disease, among others. The approaches will involve the development and application of new statistical methods with a focus on the detection of gene-gene interactions associated with human disease.</p>

<p>Gene expression and protein expression patterns between normal and non-normal tissues is a growing area of research that may lead to the identification of candidate genes for understanding the etiology of common, complex diseases. </p>

<p>Lab homepage @ http://ritchielab.psu.edu/ritchielab/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33901/rnacon-web-server-for-the-prediction-and-classification-of-non-coding-rnas</guid>
	<pubDate>Mon, 17 Jul 2017 04:55:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33901/rnacon-web-server-for-the-prediction-and-classification-of-non-coding-rnas</link>
	<title><![CDATA[RNAcon: web-server for the prediction and classification of non-coding RNAs]]></title>
	<description><![CDATA[<p style="text-align: justify;">RNAcon is a web-server for the prediction and classification of non-coding RNAs. It uses SVM-based model for the discrimination between coding and ncRNAs and RandomForest-based prediction model for the classification of ncRNAs into different classes. The structural information based graph properties were used for the development of prediction model.</p>
<p style="text-align: justify;">The&nbsp;<a href="http://crdd.osdd.net/raghava/rnacon/RNAcon_v1.0.tar.gz">standalone version (Linux-based command-line) of RNAcon</a>&nbsp;is freely available for the global scientific community.</p>
<p style="text-align: justify;">Reference:&nbsp;<a href="http://www.biomedcentral.com/1471-2164/15/127/abstract">Panwar, B.; Arora, A. and Raghava, G.P.S. (2014) Prediction and classification of ncRNAs using structural information</a>BMC Genomics 2014, 15:127</p><p>Address of the bookmark: <a href="http://crdd.osdd.net/raghava/rnacon/" rel="nofollow">http://crdd.osdd.net/raghava/rnacon/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5403/research-associate-icgeb-new-delhi</guid>
  <pubDate>Wed, 09 Oct 2013 13:49:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate @ ICGEB, New Delhi.]]></title>
  <description><![CDATA[
<p>Applications are invited for Research Associate position in the DBT Sponsored Bioinformatics Infrastructure Facility at ICGEB, New Delhi.</p>

<p>Essential requirements: Experience of using bioinformatics tools.</p>

<p>Experience of working in Linux. Basic knowledge of computer network administration.</p>

<p>Desirable: Knowledge of Linux installation/administration and proficiency in either of the following:</p>

<p>Shell/PERL/Java/Python/VB/Oracle/MySQL/C/CUDA.</p>

<p>Qualification: PhD. or First class M.Sc degree in Bioinformatics or Biotechnology/life science with specialization in Bioinformatics.</p>

<p>Fellowships: Rs 22,000/- with HRA for PhD qualified, Rs 16000/- with HRA for NET/BET/BINC/GATE qualified and 12000/- with HRA for non NET qualified applicants.</p>

<p>Interested candidates may send their complete biodata along with a write-up of their experience and suitability for the position to Dr. Dinesh Gupta by email only to dinesh@icgeb.res.in within 15 days of publication of this advertisement. Kindly mark the email with subject “Application for BIF-RA-2013”</p>

<p>Closing date for applications: 18 October 2013</p>

<p>Only short listed candidates will be invited for an interview at ICGEB.</p>

<p>No TA/DA will be paid for attending the interview.</p>

<p>Advertisement: http://www.icgeb.org/tl_files/Vacancies/BIF-RA-Advt.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5574/srfjrfra-university-of-hyderabad</guid>
  <pubDate>Mon, 14 Oct 2013 07:49:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF/RA @ UNIVERSITY OF HYDERABAD]]></title>
  <description><![CDATA[
<p>SCHOOL OF CHEMISTRY, UNIVERSITY OF HYDERABAD</p>

<p>Applications on plain paper along with details of CV (relevant photocopies of their<br />qualifications/experience and reprints of published work to be attached) are invited from qualified candidates for Research Fellowship in CSIR- sponsored research project.</p>

<p>JRF/SRF/RA (one vacancy)</p>

<p>CSIR sponsored “In silico design, identification and in vitro validation of lead molecule inhibitors to Bcr-Abl kinase”</p>

<p>JRF: M.Sc in Chemistry/ Bioinformatics/ Biotechnology with I division and NET or GATE qualified</p>

<p>SRF: M.Sc in chemistry/ Bioinformatics/ Biotechnology with at least two years of post- M.Sc research experience as evidenced from published papers in standard refereed journals in relevant area</p>

<p>RA: PhD in chemistry/ Bioinformatics/ Biotechnology with research experience in<br />relevant area.</p>

<p>As per CSIR guidelines</p>

<p>Notes:<br />1) You may visit the University of Hyderabad website www.uohyd.ernet.in to learn more about the University of Hyderabad.<br />2) Applicants should note that the appointment to be made is purely temporary and there is no right for claiming for any regular appointment in the University.<br />3) No TA/DA will be paid for attending the interview or at the time of joining the post, if selected.<br />4) The application should be submitted by post/courier/in-person to the address given below on or before November 1st 2013.</p>

<p>Prof. Lalitha Guruprasad<br />W-103, Gurbakhsh Singh Building<br />School of Chemistry<br />University of Hyderabad<br />Hyderabad- 500 046<br />5) Short-listed candidates will be called for interview at a short notice.</p>

<p>Advertisement: http://www.uohyd.ac.in/images/recruitment/chemisry_advt_101013.pdf</p>
]]></description>
</item>
<item>
	<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>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5702/research-fellow-in-bioinformatics-queens-university-belfast-institute-for-global-food-security-school-of-biological-sciences</guid>
  <pubDate>Thu, 17 Oct 2013 04:33:02 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Fellow in Bioinformatics @  Queen's University Belfast -Institute for Global Food Security, School of Biological Sciences]]></title>
  <description><![CDATA[
<p>Ref: 13/102900</p>

<p>Available immediately until 30th November 2015, to work on the development of bioinformatics approaches to aid analysis of data derived from the metabolomic profiling of biological matrices. The successful applicant will lead research activities on an FP7 funded EU-wide collaborative project aimed at establishing biomarker-based strategies for high throughput diagnostic screening. Key tasks will involve multivariate analysis of large datasets, bioinformatic-based selection and validation of identified markers, construction of metabolomic spectral profile databases and development of machine learning/database searching approaches amenable to analytical screening techniques. This position will offer the opportunity to travel and undertake work with project collaborators based in the Republic of Ireland and Europe.</p>

<p>Informal enquiries may be directed to Dr Terry McGrath, email: terry.mcgrath@qub.ac.uk.</p>

<p>Anticipated interview date: Thursday 31st October 2013<br />Salary scale: £30,424 – £39,649 per annum (including contribution points)<br />Closing date: Monday 21st October 2013  </p>

<p>Telephone (028) 90973044 FAX: (028) 90971040 or e-mail on personnel@qub.ac.uk</p>

<p>The University is committed to equality of opportunity and to selection on merit.  It therefore welcomes applications from all sections of society and particularly welcomes applications from people with a disability. </p>

<p>Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.</p>

<p>More @ https://hrwebapp.qub.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=5616943npO&amp;WVID=6273090Lgx&amp;LANG=USA</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44644/dengue-lineages</guid>
	<pubDate>Fri, 16 Aug 2024 04:40:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44644/dengue-lineages</link>
	<title><![CDATA[Dengue Lineages !]]></title>
	<description><![CDATA[<p><span>Our dengue virus lineage system splits up the current genotypes into major and minor lineages to provide additional spatiotemporal resolution and a common language to discuss important genomic diversity. A full description of the lineage system can be found&nbsp;</span><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11118645/">here.</a></p>
<p>https://dengue-lineages.org/</p><p>Address of the bookmark: <a href="https://dengue-lineages.org/" rel="nofollow">https://dengue-lineages.org/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

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