<?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/30074?offset=1080</link>
	<atom:link href="https://bioinformaticsonline.com/related/30074?offset=1080" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43923/monkeypox-virus-isolate-mpxv-usa-2022-ma001-complete-genome</guid>
	<pubDate>Tue, 26 Jul 2022 06:21:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43923/monkeypox-virus-isolate-mpxv-usa-2022-ma001-complete-genome</link>
	<title><![CDATA[Monkeypox virus isolate MPXV_USA_2022_MA001, complete genome]]></title>
	<description><![CDATA[<pre>LOCUS       ON563414              197205 bp    DNA     linear   VRL 30-MAY-2022
DEFINITION  Monkeypox virus isolate MPXV_USA_2022_MA001, complete genome.
ACCESSION   ON563414
VERSION     ON563414.3
KEYWORDS    .
SOURCE      Monkeypox virus (monkeypox)
  ORGANISM  <a href="https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=10244">Monkeypox virus</a>
            Viruses; Varidnaviria; Bamfordvirae; Nucleocytoviricota;
            Pokkesviricetes; Chitovirales; Poxviridae; Chordopoxvirinae;
            Orthopoxvirus.</pre><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/nuccore/ON563414" rel="nofollow">https://www.ncbi.nlm.nih.gov/nuccore/ON563414</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7213/postdoctoral-position-bioinformaticscomputational-biology</guid>
  <pubDate>Thu, 12 Dec 2013 17:58:00 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Position (Bioinformatics/Computational Biology)]]></title>
  <description><![CDATA[
<p>University College Cork<br />LAPTI<br />Cork-Co Cork-Ireland</p>

<p>Postdoctoral position is available for three years to work on development of Bioinformatics resources for the analysis and visualization of ribosome profiling data. Ribosome profiling (ribo-seq) is a technology that allows mapping positions of the ribosomes on the whole transcriptome level with a nucleotide precision. The technology allows obtaining high resolution digital snapshots of gene expression in cells. The position is available starting on the 1st of October, 2013.</p>

<p>Candidate is expected to have Ph.D. in Bioinformatics or Computational Biology. Candidates with the degree in non-Biological disciplines such as Computer Science, Statistics, Applied Mathematics, Physics or Electrical Engineering will also be considered.</p>

<p>The position is available at LAPTI (http://lapti.ucc.ie) that is located in the Western Gate Building (http://www.stwarchitects.com/project-information.php?c=1&amp;p=09993) at University College Cork. Western Gate Building Research Complex hosts several UCC departments and provides ideal environment for interdisciplinary research. Cork (sometimes referenced as “Venice of Ireland”) is the second most populous city in the Republic. It has friendly cosmopolitan atmosphere and vibrant culture. A number of American industrial giants such as Apple , EMC and Pfizer have chosen Cork as a home for their European headquarters.</p>

<p>The details of the application process are given at http://lapti.ucc.ie/jobs.html. To ensure prompt processing of your application use the subject line: ‘Postdoc computational’. All applications received prior to August the 1st are guaranteed equal consideration. However, applications at the later dates will also be considered until the position is filled.</p>

<p>For more info visit http://lapti.ucc.ie</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44483/baclife-an-automated-genome-mining-tool-for-identification-of-lifestyle-associated-genes</guid>
	<pubDate>Fri, 15 Mar 2024 04:59:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44483/baclife-an-automated-genome-mining-tool-for-identification-of-lifestyle-associated-genes</link>
	<title><![CDATA[bacLIFE: an automated genome mining tool for identification of lifestyle associated genes]]></title>
	<description><![CDATA[<p style="margin-top: 0px; margin-bottom: 16px; color: #1f2328; font-size: 16px; font-style: normal; font-weight: 400; text-align: start; background-color: #ffffff;" dir="auto">bacLIFE is a streamlined computational workflow that annotates bacterial genomes and performs large-scale comparative genomics to predict bacterial lifestyles and to pinpoint candidate genes, denominated<span>&nbsp;</span><strong style="font-weight: var(--base-text-weight-semibold, 600);">lifestyle-associated genes (LAGs)</strong>, and biosynthetic gene clusters associated with each lifestyle detected. This whole process is divided into different modules:</p>
<ul style="margin-top: 0px; margin-bottom: 16px; color: #1f2328; font-size: 16px; font-style: normal; font-weight: 400; text-align: start; background-color: #ffffff;" dir="auto">
<li><strong style="font-weight: var(--base-text-weight-semibold, 600);">Clustering module</strong><span>&nbsp;</span>Predicts, clusters and annotates the genes of every input genome</li>
<li style="margin-top: 0.25em;"><strong style="font-weight: var(--base-text-weight-semibold, 600);">Lifestyle prediction</strong><span>&nbsp;</span>Employs a machine learning model to forecast bacterial lifestyle or other specified metadata</li>
<li style="margin-top: 0.25em;"><strong style="font-weight: var(--base-text-weight-semibold, 600);">Analitical module (Shiny app)</strong><span>&nbsp;</span>Results from the previous modules are embedded in a user-friendly interface for comprehensive and interactive comparative genomics.</li>
</ul>
<p style="margin-top: 0px; margin-bottom: 16px; color: #1f2328; font-size: 16px; font-style: normal; font-weight: 400; text-align: start; background-color: #ffffff;" dir="auto">You can find the complete wiki here [<a href="https://github.com/Carrion-lab/bacLIFE/wiki/bacLIFE-wiki">https://github.com/Carrion-lab/bacLIFE/wiki/bacLIFE-wiki</a>]</p><p>Address of the bookmark: <a href="https://github.com/Carrion-lab/bacLIFE" rel="nofollow">https://github.com/Carrion-lab/bacLIFE</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/7288/critical-to-discoveries-in-bioinformatics</guid>
	<pubDate>Mon, 16 Dec 2013 17:13:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/7288/critical-to-discoveries-in-bioinformatics</link>
	<title><![CDATA[Critical to discoveries in bioinformatics]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/MnKvMP8CeSQ" frameborder="0" allowfullscreen></iframe>EMBL-EBI distributes datasets worldwide using the Janet network. This biological data enables the discovery of new drugs, new diagnostics and increasingly new agro-chemicals.  Their work, which includes the 1000-genome project, has generated petabytes of data and this growth is showing no signs of abating.  On-demand bandwidth over Janet will therefore be critical to their ongoing work.]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/view/982</guid>
	<pubDate>Wed, 17 Jul 2013 15:25:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/982</link>
	<title><![CDATA[Is reference genome necessary for gene expression study in transcriptome sequencing or for variant discovery in genome sequencing?]]></title>
	<description><![CDATA[<p><span>Like in case of plant genomes where nature of genome is too complex and huge in size to accomplish complete<em> de novo</em> assembly by current sequencing technology. What would be alternate solution? Can we live in reference free world?</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7483/research-associate-indian-institute-of-spices-research</guid>
  <pubDate>Wed, 25 Dec 2013 12:34:43 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associate @ INDIAN INSTITUTE OF SPICES RESEARCH]]></title>
  <description><![CDATA[
<p>INDIAN INSTITUTE OF SPICES RESEARCH<br />(Indian Council of Agricultural Research)<br />Marikunnu P.O., Kozhikode – 673 012, Kerala</p>

<p>WALK -IN- TEST CUM INTERVIEW</p>

<p>Walk- in- Test cum Interview (based on test) for the selection of Research Associate (Bioinformatics) &amp; Bioinformatic Trainees under the scheme ‘Distributed Information Sub Centre- DISC’ will be held at this Institute as per details indicated below.</p>

<p>Research Associate</p>

<p>Date of Interview : 21 -01-2014 at 10.00 A.M</p>

<p>Qualifications : a) Essential: Doctorate degree in Bioinformatics or Biotechnology/Life Sciences/Biochemistry with expertise in  Bioinformatics as evidenced by publications.</p>

<p>OR</p>

<p>Three years research experience after MVSc/MPharm/ME/MTech with Bioinformatics  Specialization.</p>

<p>b Desirable: Experience in handling NGS data  Programming skills in Python/Bioperl</p>

<p>Emoluments : Rs:22000/- per month + HRA (higher pay upto Rs.24000/- can be paid  depending on the qualifications and experience.</p>

<p>Upper age limit : 40 years for Men &amp; 45 years for Women as on date of Interview (Upper Age limits are relaxable for SC, ST and OBC candidates as per Govt. of India norms (at present 5 years for SC/ST and 3 years for OBC)</p>

<p>Duration of Project : Till the closure of the project.</p>

<p>General Terms and conditions</p>

<p>1. The above positions are purely on temporary basis and is co-terminus with the closure of the project. There is no provision of re-employment after termination of project. The selected candidate will not have any right for claiming pay scale or absorption against any regular post being vacant on a later date at this Institute.<br />2 . No TA/DA will be paid for attending the Interview.<br />3. Canvassing in any form will lead to cancellation of candidate.<br />4. The decision of Director, IISR would be final and binding in all aspects.<br />5. Candidates will not be permitted to enter the Examination Hall after 10.00 A.M.<br />6. Candidates who secure the minimum marks prescribed by the Institute in written test  only will be eligible for calling for the interview. The number of candidates to be  called for the interview will be decided by the Director of the Institute.<br />7 Those who do not possess original Degree/PG certificate or Provisional certificate will not be allowed to attend the Test/Interview.</p>

<p>Note: All relevant certificates (in original) and bio data<br />No objection certificate in case he/she is employed elsewhere and experience certificate in original (if any) need to be produced at the time of interview.<br />Location of IISR Kozhikode Main Campus - Pallithazham bus stop between Moozhikkal East and Chelavoor on the NH 212 ”Kozhikode - Kollegal” Road.</p>

<p>Advertisement:  www.spices.res.in/pdf/DISC-Website.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4158/sorghum-genome-sequenced</guid>
	<pubDate>Sun, 01 Sep 2013 19:46:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4158/sorghum-genome-sequenced</link>
	<title><![CDATA[Sorghum genome Sequenced!!]]></title>
	<description><![CDATA[<p>Sorghum, a staple food for 500 million resource-poor people in marginal environments and a model for other important crops, sorghum holds vital genetic resources as humanity confronts the nexus of food crisis and climate change. The recent research provides an unmatched resource to respond to these challenges by identifying a large high-quality SNP and indel data set in diverse sorghum genotypes.</p><p>In addition to providing a broad sample of the diversity in S. bicolor, the genotypes included in this study are known to display agronomically important traits including stay-green drought resistance, insect resistance, grain size and grain quality.</p><p>Find more at&nbsp;http://www.nature.com/ncomms/2013/130827/ncomms3320/full/ncomms3320.html</p><p>&nbsp;</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4961/genetics-epigenetics-and-disease</guid>
	<pubDate>Fri, 27 Sep 2013 11:32:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4961/genetics-epigenetics-and-disease</link>
	<title><![CDATA[Genetics, epigenetics and disease]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/SHpfkNRscOc" frameborder="0" allowfullscreen></iframe>Royal Society GlaxoSmithKline Prize Lecture given by Professor Adrian Bird CBE FMedSci FRS on Tuesday 22 January 2013.

Adrian Bird CBE FMedSci FRS is the Buchanan Chair of Genetics at the University of Edinburgh.

The human genome sequence has been available for more than a decade, but its significance is still not fully understood. While most human genes have been identified, there is much to learn about the DNA signals that control them. This lecture described an unusually short DNA sequence, just two base pairs long, CG, which occurs in several chemically different forms. Defects in signalling by CG are implicated in disease. For example, the autism spectrum disorder Rett syndrome is caused by loss of a protein that reads methylated CG and affects the activity of genes.

The Royal Society GlaxoSmithKline Prize Lecture is awarded for original contributions to medical and veterinary sciences published within ten years from the date of the award.]]></description>
	
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7999/senior-research-fellow-indian-agricultural-statistics-research-institute</guid>
  <pubDate>Thu, 23 Jan 2014 06:22:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow @ Indian Agricultural Statistics Research Institute]]></title>
  <description><![CDATA[
<p>Indian Agricultural Statistics Research Institute<br />Library Avenue, Pusa, New Delhi – 110012</p>

<p>Walk-in-Interview</p>

<p>Walk-in-interview will be held on February 11, 2014 at 10:00 A.M. at IASRI, New Delhi for a project “Whole Genome Sequencing and Development of Allied Genomics Resources in Two Commercially Important Fish-Labeo rohita and Clarias batrachus” funded by Department of Biotechnology, Ministry of Science and Technology, Government of India, New Delhi for the following posts. The appointment will be on contractual basis upto September, 2016 or till the termination of the project whichever is earlier and the incumbent shall not have any claim for regular appointment under ICAR.</p>

<p>Senior Research Fellow Two</p>

<p>Post-Graduation in Bioinformatics/ Agricultural Statistics/ Statistics/ Computer Science/ Computer Application/ Biotechnology or equivalent with 1st Division</p>

<p> Knowledge of Statistical Analysis /Bioinformatics tools/computer programming for computational genomics.</p>

<p>Emoluments for Research Associate: Consolidated Rs: 16000/- per month + 30% HRA (1st Two years) and Rs: 18000/- per month + 30% HRA (3rd Year)</p>

<p>Age Limit: Age should be not more than 35 years (5 years relaxation for SC/ST/women candidates and 3 years for OBC candidates as on date of interview).<br />Interested candidates are requested to appear for Walk-in-Interview on the date and time as specified above in Room No. 106, Training Cum Administrative Block of the Institute along with their application giving bio-data with attested copies of certificates, degrees, testimonials, etc. and one passport size photograph. Original certificates/ Degrees are needed to be produced at the time of interview. No T.A. /D.A. will be paid for appearing in the interview.</p>

<p>Advertisement: http://www.iasri.res.in/employment/2014/srf_cabin.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/19560/alien-genome</guid>
	<pubDate>Sat, 13 Dec 2014 00:24:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/file/view/19560/alien-genome</link>
	<title><![CDATA[Alien Genome !!!]]></title>
	<description><![CDATA[<p>Genome sequencing, analysis and expression of Alien genome.</p><p>Note: This image/cartoon is create only for fun. It has nothing to do with any scientific findings.</p>]]></description>
	<dc:creator>Jit</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/19560" length="40389" type="image/jpeg" />
</item>

</channel>
</rss>