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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/13999?</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4184/zombies-like-bacteria</guid>
	<pubDate>Tue, 03 Sep 2013 08:44:15 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4184/zombies-like-bacteria</link>
	<title><![CDATA[Zombies like bacteria!!!]]></title>
	<description><![CDATA[<p>Do you believe in Zombies stories &hellip; Hmm confused? Don&rsquo;t worry there is a news for you. Scientists from the Integrated Ocean Drilling Program have announced the findings &nbsp;of the long-lived bacteria, reproducing only once every 10,000 years, which have been found in rocks 2.5km (1.5 miles) below the ocean floor that are as much as 100 million years old.</p><p><span>" the microbes exist in very low concentrations, of around 1,000 microbes in every tea spoon full of rock, compared with billions or trillions of bacteria that would typically be found in the same amount of soil at Earth's surface."</span></p><p><span>Reference:</span></p><p><span><a href="http://www.bbc.co.uk/news/science-environment-23855436">http://www.bbc.co.uk/news/science-environment-23855436</a></span></p><p>&nbsp;</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/5166/role-of-microbes-in-forensic-science</guid>
	<pubDate>Sun, 29 Sep 2013 10:07:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/5166/role-of-microbes-in-forensic-science</link>
	<title><![CDATA[Role of microbes in forensic science]]></title>
	<description><![CDATA[<p>"<span>Studies on decomposing mice suggest that the microbial content of a corpse can offer clues as to how old a body is and the approximate time that death occurred."</span><span><br /><br />Read more:&nbsp;<a href="http://www.digitaljournal.com/article/359185#ixzz2gIJFVHRo">http://www.digitaljournal.com/article/359185#ixzz2gIJFVHRo</a></span></p><p><span><a href="http://www.colorado.edu/news/releases/2013/09/24/new-cu-boulder-led-study-finds-%E2%80%98microbial-clock%E2%80%99-may-help-determine-time">http://www.colorado.edu/news/releases/2013/09/24/new-cu-boulder-led-study-finds-%E2%80%98microbial-clock%E2%80%99-may-help-determine-time</a></span></p><p><span>Paper:</span></p><p><span><a href="http://www.elifesciences.org/wp-content/uploads/2013/09/eLife.01104_INPRESS.pdf">http://www.elifesciences.org/wp-content/uploads/2013/09/eLife.01104_INPRESS.pdf</a></span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/2778/mom-knows-best</guid>
	<pubDate>Thu, 22 Aug 2013 13:30:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/2778/mom-knows-best</link>
	<title><![CDATA[Mom Knows Best]]></title>
	<description><![CDATA[<p>We always get instructions to wash our hands, sterilize kitchen stuff and bla bla. However, recent findings suggest something else. Perhaps we can't survive, or will face lots of problems if bacteria&rsquo;s colonies are absent in mother womb. Please find the detail sources of microbial transmission in humans from mother to child in recently published PLOS paper.</p><p><a href="http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001631">http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001631</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31300/clgenomics</guid>
	<pubDate>Fri, 03 Mar 2017 09:57:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31300/clgenomics</link>
	<title><![CDATA[CLgenomics]]></title>
	<description><![CDATA[<p>CLgenomics is a standalone desktop software specifically designed for bacterial genome analysis. This program has a powerful multi-genome browser, which enables rapid and responsive exploration of bacterial genomes.</p>
<p>To use CLgenomics, individual genome data (genome sequences + annotation details) are compiled and saved in a specially formatted file called CLG (ChunLab Genomics).&nbsp;Each CLG file corresponds with one bacterial genome. If multiple genomes are being considered and compared, multiple CLG files are needed. ChunLab offers &gt;40,000 CLG files of publicly available Bacterial and Archaeal genomes.</p><p>Address of the bookmark: <a href="https://chunlab.wordpress.com/clgenomics-software/" rel="nofollow">https://chunlab.wordpress.com/clgenomics-software/</a></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38447/kegg-mapper-%E2%80%93-reconstruct-pathway</guid>
	<pubDate>Wed, 12 Dec 2018 09:14:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38447/kegg-mapper-%E2%80%93-reconstruct-pathway</link>
	<title><![CDATA[KEGG Mapper – Reconstruct Pathway]]></title>
	<description><![CDATA[<p><strong>Reconstruct Pathway</strong><span>&nbsp;is a KEGG PATHWAY mapping tool that assists genome and metagenome annotations. The input data is a single gene list (for a single organism) or multiple gene lists (for multiple organisms) annotated with KEGG Orthology (KO) identifiers or K numbers. Each line of the gene list contains the user-defined gene identifier followed by, if any, the assigned K number. The mapping is performed through the K numbers against the KEGG reference pathways.&nbsp;</span></p><p>Address of the bookmark: <a href="https://www.kegg.jp/kegg/tool/map_pathway.html" rel="nofollow">https://www.kegg.jp/kegg/tool/map_pathway.html</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44489/proksee</guid>
	<pubDate>Wed, 27 Mar 2024 11:11:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44489/proksee</link>
	<title><![CDATA[Proksee]]></title>
	<description><![CDATA[<p><span>Proksee is an expert system for genome assembly, annotation and visualization. To begin using Proksee, provide a complete genome sequence, sequencing reads or a CGView/Proksee map JSON file.</span></p>
<fieldset><legend>Please Cite the Following</legend>
<div>Grant JR, Enns E, Marinier E, Mandal A, Herman EK, Chen C, Graham M, Van Domselaar G, and Stothard P</div>
<div><a href="https://pubmed.ncbi.nlm.nih.gov/37140037/">Proksee: in-depth characterization and visualization of bacterial genomes</a></div>
<div>Nucleic Acids Research, 2023, gkad326, https://doi.org/10.1093/nar/gkad326</div>
</fieldset><p>Address of the bookmark: <a href="https://proksee.ca/" rel="nofollow">https://proksee.ca/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41033/clark-fast-accurate-and-versatile-sequence-classification-system</guid>
	<pubDate>Sat, 15 Feb 2020 01:49:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41033/clark-fast-accurate-and-versatile-sequence-classification-system</link>
	<title><![CDATA[CLARK: Fast, accurate and versatile sequence classification system]]></title>
	<description><![CDATA[<p><span></span><a href="http://dx.doi.org/10.1186/s12864-015-1419-2"><strong>CLARK</strong></a><span>, a method based on a supervised sequence classification using discriminative&nbsp;</span><em>k</em><span>-mers. Considering two distinct specific classification problems (see the article for details), namely (1) the taxonomic classification of metagenomic reads to known bacterial genomes, and (2) the assignment of BAC clones and transcript to chromosome arms/centromeres (in the absence of a finished assembly for the reference genome), CLARK outperforms in classification speed and precision the best state-of-the-art methods.</span></p>
<p><span><a href="http://clark.cs.ucr.edu/Spaced/">http://clark.cs.ucr.edu/Spaced/</a></span></p><p>Address of the bookmark: <a href="http://clark.cs.ucr.edu/Spaced/" rel="nofollow">http://clark.cs.ucr.edu/Spaced/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/4100/should-you-get-sequenced-not-all-bad-genes-predict-disease</guid>
	<pubDate>Thu, 29 Aug 2013 15:10:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/4100/should-you-get-sequenced-not-all-bad-genes-predict-disease</link>
	<title><![CDATA[Should you get sequenced? Not all bad genes predict disease]]></title>
	<description><![CDATA[<p><span>&ldquo;What we really don&rsquo;t know yet is whether the predictive aspects of the genome are going to turn out to be beneficial or potentially harmful&rdquo;</span></p>
<p><span><span>&ldquo;As we roll out genomic medicine we are fighting against this society-wide misconception that having the bad gene means you&rsquo;re going to get the disease. That&rsquo;s only true in a very few cases.&rdquo;</span></span></p>
<p><span><span><strong>Source</strong>:Today Health</span></span></p><p>Address of the bookmark: <a href="http://www.today.com/health/should-you-get-sequenced-not-all-bad-genes-predict-disease-8C11017154" rel="nofollow">http://www.today.com/health/should-you-get-sequenced-not-all-bad-genes-predict-disease-8C11017154</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/8988/what-is-healthcare-informatics</guid>
	<pubDate>Wed, 12 Mar 2014 14:49:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/8988/what-is-healthcare-informatics</link>
	<title><![CDATA[What is Healthcare Informatics?]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/pzS--PaGC9o" frameborder="0" allowfullscreen></iframe>Incorporating information technologies and information management, this work describes evolving areas of efficiency in the healthcare industry due to healthcare informatics enhancements. Beginning with an overview of how information management can enhance organizational efficiency the book delves into how informatics can impact productivity for healthcare providers and reduce costs. It stresses the incorporation of available information technologies along with appropriate management tactics to ensure the most effective informatics outcomes that can drive efficiencies.

Areas that are addressed include project management in healthcare, knowledge management, decision support systems, business intelligence, Six Sigma, and advanced analytics such as data mining.]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/35026/junior-research-fellow-position-at-translational-health-group-icgeb-new-delhi</guid>
  <pubDate>Tue, 02 Jan 2018 19:47:28 -0600</pubDate>
  <link></link>
  <title><![CDATA[Junior Research Fellow position at Translational Health Group, ICGEB, New Delhi]]></title>
  <description><![CDATA[
<p>One Junior Research Fellow position, in a DBT funded project, is available in the Translational Health Group, ICGEB, New Delhi</p>

<p>Qualifications: MSc (preferably in Biotechnology, Life Sciences or Zoology, Chemistry, Bioinformatics). Candidates with hands-on experience on GC-MS data acquisition and analysis will be given preference. Bioinformatics expertise required.</p>

<p>Fellowship: As per DBT guidelines.</p>

<p>Tenure: The position is purely on temporary basis with an initial tenure of six months and based on satisfactory performance may continue until the completion of the project. </p>

<p>Application Deadline: Applications will be accepted until 07/01/2018</p>

<p>Please send a "TWO PAGE" CV by email to: th.icgeb@gmail.com on or before the date indicated.</p>
]]></description>
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