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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30214?offset=970</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8174/the-2014-cemm-phd-program</guid>
  <pubDate>Wed, 05 Feb 2014 06:03:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[The 2014 CeMM PhD Program]]></title>
  <description><![CDATA[
<p>For our next PhD Program starting in October 2014 we are looking for exceptionally motivated PhD candidates with a keen interest in genomics and medicine and a strong interest to work in teams.</p>

<p>The 2014 CeMM PhD Program will focus on two thematic areas: INFECTION and CANCER, that are built on the pillars of epigenetics, bioinformatics and systems biology, chemical biology and the mechanism of action of drugs, high-throughput genetics, genomics and proteomics, and molecular and cell biology.</p>

<p>The choice of this strategic focus rests on the synergies between immunology, infection and cancer in pathophysiological and technological terms. It furthermore reflects the strength of the current CeMM faculty, itself built around the historical and contemporary expertise in immunology and cancer of the Medical University of Vienna.</p>

<p>As a CeMM PhD student you will get the chance to work at the cutting edge of interdisciplinary molecular medicine research and be trained by the entire CeMM and associated faculty to become one of the scientists shaping the future of molecular medicine.<br />Requirements</p>

<p>To be eligible to enroll in the CeMM PhD Program all candidates are required to have a bachelor’s or master’s degree in medicine, biology, chemistry, bioinformatics, mathematics or any scientific/technical, subject-relevant degree. Candidates do not need to have completed their degree at the time of application, however they must have obtained their final degree certificate by mid-September. The working language at CeMM is English, so excellent written and oral communication skills in English are required.<br />Timeline</p>

<p>    Applications open on 20th January and close on 20th March 2014.<br />    Two references are required to be submitted through the online system by 31st March 2014.<br />    All complete candidate applications are reviewed by the CeMM Faculty in early April.<br />    Selected candidates are invited to a Skype panel interview in late April.<br />    Shortlisted candidates are then invited to Vienna in May for a full interview process, including an opportunity to introduce yourself through a presentation and interview rounds, meet research group members, and attend an informal dinner to get to know the Faculty members and learn more about their research.<br />    Positions are offered by CeMM Faculty in June.<br />    Start of PhD Program: 1st October 2014 .</p>

<p>Contact</p>

<p>Binia Maria Günther, BEd BA<br />Human Resources Manager<br />bguenther@cemm.oeaw.ac.at</p>

<p>Catherine Lloyd, Ph.D.<br />PhD and Postdoc Program Manager<br />clloyd@cemm.oeaw.ac.at</p>

<p>More Info: www.cemm.oeaw.ac.at/phd-program/application/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33221/genome-annotation-transfer-utility-gatu</guid>
	<pubDate>Mon, 29 May 2017 05:54:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33221/genome-annotation-transfer-utility-gatu</link>
	<title><![CDATA[Genome Annotation Transfer Utility (GATU)]]></title>
	<description><![CDATA[<p>Genome Annotation Transfer Utility (GATU) was designed to facilitate quick, efficient annotation of similar genomes using genomes that have already been annotated. For example, whenever a new strain of SARS coronavirus is sequenced, it is possible, using GATU, to automatically annotate the new strain using a previously-annotated strain of SARS CoV. This saves researchers from tedious manual annotation of these sequences.</p>
<p>The program utilizes tBLASTn and BLASTn algorithms to map genes from the reference genome (the annotated strain) to the new sequence (the unannotated strain). The goal is to annotate the majority of the new genome&rsquo;s genes in a single step. ORFs present in the target genome and absent from the reference genome are also identified; these ORFs can be further analyzed using BLAST, VGO and BBB. Afterwards, they can either be accepted for/rejected from annotation. GATU can handle multiple-exon genes as well as mature peptides. Although it was designed for use with viral genomes, GATU can also be used to help annotate larger genomes (ie. bacterial genomes).</p>
<p>The output is saved in GenBank, XML, or EMBL file format.</p><p>Address of the bookmark: <a href="https://virology.uvic.ca/help/tool-help/help-books/genome-annotation-transfer-utility-gatu-documentation/" rel="nofollow">https://virology.uvic.ca/help/tool-help/help-books/genome-annotation-transfer-utility-gatu-documentation/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8123/jrf-manit</guid>
  <pubDate>Sun, 02 Feb 2014 03:07:58 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF @ MANIT]]></title>
  <description><![CDATA[
<p>MAULANA AZAD NATIONAL INSTITUTE OF TECHNOLOGY BHOPAL</p>

<p>No. CSE/14/1038</p>

<p>Walk in Interview for the post of JRF under TEQIP-II</p>

<p>SN Department – Qualification Post Graduation – Time</p>

<p>1 Bio-Informatics &amp; Mathematics M.Tech Bio-informatics/M.Sc.* Maths  10.00 AM</p>

<p>2 Biological Sciences M.Sc.* in any branch of Biological Sciences 10.30 AM</p>

<p>3 Chemical Engineering M.Tech Chemical Engineering 11.00 AM</p>

<p>4 Chemistry M.Sc.* Chemistry 11.30 AM</p>

<p>5 Civil Engineering M.Tech Structure/GeoTech. /Water -Resources/Hydraulics/Environment/Transport 12.00 Noon</p>

<p>6 GIS M.Tech GIS/Civil 12.30 PM</p>

<p>7 Computer Science &amp; Engineering M.Tech CSE/Information Security 01.00 PM</p>

<p>8 Electrical Engineering M.Tech Electrical Derives 01.30 PM</p>

<p>9 Electronics &amp; Communication M.Tech Digital Communication 02.00 PM</p>

<p>10 MSME M.Tech Material Science/ Mechanical/Metallurgy 02.30 PM</p>

<p>11 Physics M.Sc.* Physics 03.00 PM</p>

<p>* M.Sc. with NET/GATE qualified</p>

<p>Resume along with one passport size photograph and relevant documents are required at the time of interview</p>

<p>Amount of Fellowship: Rs 18000/-month+ HRA</p>

<p>Duration: 31st Dec 2014 (End of TEQIP-II project)</p>

<p>Date of Interview: 7th  February 2014</p>

<p>Venue Institute Committee Room</p>

<p>Advertisement:</p>

<p>http://www.manit.ac.in/manitbhopal/Year2014/Recruitment/Advertisement%20JRF.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35823/regen-ancestral-genome-reconstruction-for-bacteria</guid>
	<pubDate>Tue, 06 Mar 2018 05:02:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35823/regen-ancestral-genome-reconstruction-for-bacteria</link>
	<title><![CDATA[REGEN: Ancestral Genome Reconstruction for Bacteria]]></title>
	<description><![CDATA[<p><span>REGEN infers evolutionary events, including gene creation and deletion and replicon fission and fusion. The reconstruction can be performed by either a maximum parsimony or a maximum likelihood method. Gene content reconstruction is based on the concept of neighboring gene pairs. REGEN was designed to be used with any set of genomes that are sufficiently related, which will usually be the case for bacteria within the same taxonomic order.&nbsp;</span></p><p>Address of the bookmark: <a href="http://www.mdpi.com/2073-4425/3/3/423" rel="nofollow">http://www.mdpi.com/2073-4425/3/3/423</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8287/post-doc-in-computational-genetics-and-genomics-at-ceinge-biotecnologie-avanzate-naples-italy</guid>
  <pubDate>Tue, 11 Feb 2014 08:06:47 -0600</pubDate>
  <link></link>
  <title><![CDATA[Post doc in Computational Genetics and Genomics at CEINGE Biotecnologie Avanzate, Naples, Italy]]></title>
  <description><![CDATA[
<p>We are seeking one motivated scientist to analyze genomics and transcriptomics data of a large collection of neuroblastoma tumors. The successful candidate will be part of a team of researchers with extensive expertise in genome cancer study. He/she will be involved in the analysis of DNA-seq, RNA-seq, ChIP-seq data using available methods running in R and UNIX environment.</p>

<p>Qualifications</p>

<p>PhD or Post-Graduated Master degree is required. Successful candidates will have some expertise in data analysis of NGS data by using methods running in R and UNIX environment. Familiarity with genome databases and browsers is required.</p>

<p>Application</p>

<p>Candidates should send a CV and a brief personal statement focusing on their skills and interests related to the research project.</p>

<p>Contacts</p>

<p>Start date: 1° April 2014<br />Salary on grant: 25,000 euros per year.<br />Contact Person (Referent): Mario Capasso<br />Ref. Email: mario.capasso@unina.it and achille.iolascon@unina.it<br />Tel: +39 081 3737889</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36997/cgview-circular-genome-viewer</guid>
	<pubDate>Wed, 20 Jun 2018 10:15:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36997/cgview-circular-genome-viewer</link>
	<title><![CDATA[CGView - Circular Genome Viewer]]></title>
	<description><![CDATA[CGView is a Java package for generating high quality, zoomable maps of circular genomes. Its primary purpose is to serve as a component of sequence annotation pipelines, as a means of generating visual output suitable for the web. Feature information and rendering options are supplied to the program using an XML file, a tab delimited file, or an NCBI ptt file. CGView converts the input into a graphical map (PNG, JPG, or Scalable Vector Graphics format), complete with labels, a title, legends, and footnotes. In addition to the default full view map, the program can generate a series of hyperlinked maps showing expanded views. The linked maps can be explored using any web browser, allowing rapid genome browsing, and facilitating data sharing. The feature labels in maps can be hyperlinked to external resources, allowing CGView maps to be integrated with existing web site content or databases. For examples of the various output types, see the CGView gallery.

http://wishart.biology.ualberta.ca/cgview/gallery.html

http://stothard.afns.ualberta.ca/downloads/CCT/index.html

https://www.gview.ca/wiki/GView/WebHome

https://server.gview.ca/

http://stothard.afns.ualberta.ca/cgview_server/

Paper https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbx081/4037458<p>Address of the bookmark: <a href="http://wishart.biology.ualberta.ca/cgview/" rel="nofollow">http://wishart.biology.ualberta.ca/cgview/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/8317/new-version-of-modeller-913</guid>
	<pubDate>Thu, 13 Feb 2014 09:07:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/8317/new-version-of-modeller-913</link>
	<title><![CDATA[New version of Modeller, 9.13]]></title>
	<description><![CDATA[<p>The new version of Modeller, 9.13, is now available for download! Please see the download page at <a href="http://www.facebook.com/l.php?u=http%3A%2F%2Fsalilab.org%2Fmodeller%2F&amp;h=mAQG5wo_Z&amp;enc=AZOoq2B7BxT95AT3Mw3za3VlbmRFke43YMI5vAjCAbBlIcf3bptn8pmFC1Idxrssy98117S03IgdcNmEWcQBi9bmi8Or_ut1D1yybt1ZonvPoCT3_LOglcYV7o6bEaa442_6LhbjefEaelkq0aq6dl0w&amp;s=1" target="_blank">http://salilab.org/modeller/</a> for more information.</p><p><img src="http://salilab.org/modeller/gifs/modeller.jpg" alt="image" width="848" height="272" style="border: 0px; border: 0px;"><br /> <br /> If you have a license key for Modeller 8 or 9, there is no need to reregister for Modeller 9.13 - the same license key will work. (It won't <span>do any harm to reregister if you want to, though!)<br /> <br /> 9.13 is primarily a bugfix release relative to the last public release(9.12). Major user-visible changes include:<br /> <br /> # Modeller now includes a variety of SOAP (statistically optimized atomic potential) scores for assessing proteins, loops, and interfaces.<br /> <br /> # The Lennard-Jones interaction energy is now artificially truncated at very short distance; this makes simulations with poor starting conditions much less likely to 'blow up'.<br /> <br /> # model.get_insertions(), model.get_deletions() and model.loops() now have an include_termini option; if False, residue ranges that include chain termini are excluded from the output.<br /> <br /> See the Modeller manual for a full change log: <a href="http://salilab.org/modeller/9.13/manual/node39.html" target="_blank">http://salilab.org/modeller/9.13/manual/node39.html</a><br /> <br /> If you encounter bugs in Modeller 9.13, please see <a href="http://salilab.org/modeller/9.13/manual/node10.html" target="_blank">http://salilab.org/modeller/9.13/manual/node10.html</a> for information on how to report them.</span></p><p><span>Reference:</span></p><p><span>http://salilab.org/modeller/</span></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38215/pwhatshap-a-parallel-high-performance-version-of-whatshap</guid>
	<pubDate>Wed, 14 Nov 2018 08:20:27 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38215/pwhatshap-a-parallel-high-performance-version-of-whatshap</link>
	<title><![CDATA[pWhatsHap: a parallel, high-performance version of WhatsHap]]></title>
	<description><![CDATA[<div id="ASec4">
<p>Given the potential relevance of efficient haplotyping in several analysis pipelines, we have designed and engineered&nbsp;pWhatsHap, a parallel, high-performance version of&nbsp;WhatsHap.&nbsp;pWhatsHap&nbsp;is embedded in a toolkit developed in Python and supports genomics datasets in standard file formats. Building on&nbsp;WhatsHap,&nbsp;pWhatsHap&nbsp;exhibits the same complexity exploring a number of possible solutions which is exponential in the coverage of the dataset. The parallel implementation on multi-core architectures allows for a relevant reduction of the execution time for haplotyping, while the provided results enjoy the same high accuracy as that provided by&nbsp;WhatsHap, which increases with coverage.</p>
</div>
<p>https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1170-y</p><p>Address of the bookmark: <a href="https://bitbucket.org/whatshap/whatshap" rel="nofollow">https://bitbucket.org/whatshap/whatshap</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/8509/the-best-bioinformatics-computational-biology-quotes</guid>
	<pubDate>Wed, 26 Feb 2014 17:50:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/8509/the-best-bioinformatics-computational-biology-quotes</link>
	<title><![CDATA[The Best Bioinformatics / Computational Biology Quotes]]></title>
	<description><![CDATA[<p><img src="http://bioinformaticsonline.com/mod//photo/hahaha.png" style="border: 0; border: 0px;" alt="image"></p><p>Bioinformatician are not anti-social; We are just genome friendly.</p><p>Bioinformatician would love to change the biological world, but they won't give us the genetic code :P</p><p>If at first you don't succeed; call it version 1.0</p><p>The glass is neither half-full nor half-empty: it's actually have several genomes.</p><p>I'm BioGeek.</p><p>Fedup with LIPS, try God script.</p><p>Idiot, Go ahead, make my data!</p><p>Thank god, my genome just compiled.</p><p>Error message: "Out of space on genome drive:"</p><p>Shut up mobile elements, or i'll flush you out.</p><p>Never underestimate the internet bandwidth, u gotta incomplete.</p><p>Applied fuzzy logic to understand God's logic?</p><p>Warning! Overflow, delete chromosome !</p><p>Be nice to the BioGeek, for all you know they might be the next curator!</p><p>Beware of computational biologist they screw genes and protein.</p><p>Warning! Your genome is full of garbage, delete it !</p><p>Bad or missing mouse genome. Spank the cat? (Y/N)</p><p>Genome make very fast, very accurate mistakes.</p><p>Let's BLAST it.</p><p>Some genome never has transposons. It just develops random features.</p><p>Go watch CINEMA and have BLAST.</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38668/gvolante-completeness-assessment-of-genometranscriptome-sequences</guid>
	<pubDate>Sun, 13 Jan 2019 07:03:25 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38668/gvolante-completeness-assessment-of-genometranscriptome-sequences</link>
	<title><![CDATA[gVolante: Completeness Assessment of Genome/Transcriptome Sequences]]></title>
	<description><![CDATA[<p><span>A brand-new web server, gVolante, which provides an online tool for (i) on-demand completeness assessment of sequence sets by means of the previously developed pipelines CEGMA and BUSCO and (ii) browsing pre-computed completeness scores for publicly available data in its database section</span></p><p>Address of the bookmark: <a href="https://gvolante.riken.jp/analysis.html" rel="nofollow">https://gvolante.riken.jp/analysis.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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