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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26909?offset=330</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/35125/eugene-v-koonin-lab</guid>
  <pubDate>Tue, 09 Jan 2018 05:01:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[Eugene V. Koonin Lab]]></title>
  <description><![CDATA[
<p>Interested in understanding the evolution of life. To obtain glimpses of such understanding, we employ existing and new methods of computational biology to perform research in several major areas.</p>

<p>https://www.ncbi.nlm.nih.gov/research/groups/koonin/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38804/grabb-selective-assembly-of-genomic-regions-a-new-niche-for-genomic-research</guid>
	<pubDate>Sat, 26 Jan 2019 18:58:16 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38804/grabb-selective-assembly-of-genomic-regions-a-new-niche-for-genomic-research</link>
	<title><![CDATA[GRAbB: Selective Assembly of Genomic Regions, a New Niche for Genomic Research]]></title>
	<description><![CDATA[<p><span>GRAbB is shown to be more efficient than MITObim in terms of speed, memory and disk usage. The other functionalities (handling multiple targets simultaneously and extracting homologous regions) of the new program are not matched by other programs. The program is available with explanatory documentation at&nbsp;</span><a href="https://github.com/b-brankovics/grabb">https://github.com/b-brankovics/grabb</a><span>. GRAbB has been tested on Ubuntu (12.04 and 14.04), Fedora (23), CentOS (7.1.1503) and Mac OS X (10.7). Furthermore, GRAbB is available as a docker repository: brankovics/grabb (</span><a href="https://hub.docker.com/r/brankovics/grabb/">https://hub.docker.com/r/brankovics/grabb/</a><span>).</span></p><p>Address of the bookmark: <a href="https://github.com/b-brankovics/grabb" rel="nofollow">https://github.com/b-brankovics/grabb</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/35563/bioinformatics-postdoctoral-position-at-instem</guid>
  <pubDate>Tue, 13 Feb 2018 03:18:54 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics postdoctoral position at inStem]]></title>
  <description><![CDATA[
<p>One postdoctoral position is available in the area of Bioinformatics. This position is available through a highly collaborative project involving multiple labs. </p>

<p>The primary focus here would be to analyse and integrate high throughput data from various aspects of translation regulation including non-coding RNAs, mRNAs and modification of ribosomal RNA. We request the interested candidates to approach either</p>

<p>Dasaradhi Palakodeti (dasaradhip@instem.res.in)<br />Or<br />Ravi Muddashetty (ravism@instem.res.in)</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40940/consed-a-finishing-package-bam-file-viewer-assembly-editor-autofinish-autoreport-autoedit-and-align-reads-to-reference-sequence</guid>
	<pubDate>Fri, 07 Feb 2020 07:16:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40940/consed-a-finishing-package-bam-file-viewer-assembly-editor-autofinish-autoreport-autoedit-and-align-reads-to-reference-sequence</link>
	<title><![CDATA[Consed--A Finishing Package (BAM File Viewer, Assembly Editor, Autofinish, Autoreport, Autoedit, and Align Reads To Reference Sequence)]]></title>
	<description><![CDATA[<ul>
<li>Supports Illumina, 454, other Next-Gen and Sanger Reads and allows mixtures of these read types</li>
<li>Consed includes BamScape which can view bam files with unlimited numbers of reads. BamScape can bring up consed to edit reads and the reference sequence in targeted regions.</li>
<li>Consed is compatible with Newbler, Cross_match, Phrap, MIRA, Velvet and PCAP output.</li>
<li>Quickly takes the user to each variant site for viewing (also available as an automated report)</li>
<li>Overview of assembly can help detect and fix misassemblies</li>
<li>Editing time reduced by the program's ability to pin-point problem areas</li>
<li>Editing is guided by error probabilities</li>
</ul><p>Address of the bookmark: <a href="http://www.phrap.org/consed/consed.html" rel="nofollow">http://www.phrap.org/consed/consed.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/36100/bioinformatics-postdoctoral-position-at-csir-institute-of-himalayan-bioresource-technology-palampur-hp</guid>
  <pubDate>Thu, 05 Apr 2018 06:57:17 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics postdoctoral position at CSIR - Institute of Himalayan Bioresource Technology, Palampur (H.P.)]]></title>
  <description><![CDATA[
<p>Walk-in-Interview is scheduled to be held on the date as mentioned below for selection of Suitable candidates in the following areas under the  DBT sponsored projecT on purely temporary basis for the duration of the project(s) or till completion of projects whichever is earlier:</p>

<p>Project Title:<br />"Exploration of RBP-RNA interactions to reveal the post-transcriptional regulatory impact, and development of related tools and resource server".</p>

<p>Position: Research Associate (1 position)<br />Age : 35 years as on 02.05.2018<br />Salary : Rs.36,000/- P.M. + H.R.A.</p>

<p>as per the funds provisions in the respective projects.</p>

<p>Eligibility Criteria : <br />Essential Qualifications: Ph.D. in any area of Bioinformatics/ Computational Biology/ Life Sciences.<br />Desirable: Candidate having experience in Bioinformatics will be preferred.</p>

<p>Or</p>

<p>Essential Qualifications: M.Tech. in Bioinformatics/ Computation Biology/ Computer Science or any related area with 3 years of research experience.</p>

<p>Selection Procedure : Walk In Interview</p>

<p>Date :	02 May, 2018<br />Time :	9:30 A.M.<br />Venue : CSIR-IHBT Palampur (H.P.)</p>

<p>For more info refer to following doc:</p>

<p>http://ihbt.res.in/components/com_chronoforms5/chronoforms/uploads/Recruitment/20180404125233_AdvtNo11_2018.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/36674/bioinformatics-project-assistant-level-ii-position-at-csir-institute-of-himalayan-bioresource-technology-palampur-hp</guid>
  <pubDate>Thu, 17 May 2018 01:53:17 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Project Assistant Level II position at CSIR - Institute of Himalayan Bioresource Technology, Palampur (H.P.)]]></title>
  <description><![CDATA[
<p>Walk-in-Interview is scheduled to be held on the date as mentioned below for selection of Suitable candidates in the following areas under the DBT sponsored project on purely temporary basis for the duration of the project(s) or till completion of projects whichever is earlier:</p>

<p>Project Title:<br />"Exploration of RBP-RNA interactions to reveal the post-transcriptional regulatory impact, and development of related tools and resource server".</p>

<p>Position: Project Assistant Level II (1 position)<br />Age : 28 years as on 14.06.2018<br />Salary : Rs.25,000/- P.M.</p>

<p>as per the funds provisions in the respective projects.</p>

<p>Eligibility Criteria : <br />Essential Qualifications: M.Sc. in Bioinformatics / Computational Biology or any area of Bioinformatics with 55% marks.</p>

<p>OR</p>

<p>Essential Qualifications: M.Sc. in any area of Life Sciences with 55% marks with Diploma in any area of Bloinformatics.</p>

<p>OR</p>

<p>Essential Qualifications: B.Tech. / M.Tech. in Bioinformatics / Computer Science with 55% marks.</p>

<p>Selection Procedure : Walk In Interview</p>

<p>Date :	14 June, 2018<br />Time :	9:30 A.M.<br />Venue : CSIR-IHBT Palampur (H.P.)</p>

<p>For more info refer to following doc:</p>

<p>http://ihbt.res.in/components/com_chronoforms5/chronoforms/uploads/Recruitment/20180516114701_Advt15_2018.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43652/peregrine-shimmer-genome-assembly-toolkit</guid>
	<pubDate>Thu, 16 Dec 2021 02:50:19 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43652/peregrine-shimmer-genome-assembly-toolkit</link>
	<title><![CDATA[Peregrine &amp; SHIMMER Genome Assembly Toolkit]]></title>
	<description><![CDATA[<p><span>Peregrine is a fast genome assembler for accurate long reads (length &gt; 10kb, accuracy &gt; 99%). It can assemble a human genome from 30x reads within 20 cpu hours from reads to polished consensus. It uses Sparse HIereachical MimiMizER (SHIMMER) for fast read-to-read overlaping without quadratic comparisions used in other OLC assemblers.</span></p><p>Address of the bookmark: <a href="https://github.com/cschin/Peregrine" rel="nofollow">https://github.com/cschin/Peregrine</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/37610/applied-statistics-for-bioinformatics-using-r</guid>
	<pubDate>Thu, 30 Aug 2018 03:45:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/37610/applied-statistics-for-bioinformatics-using-r</link>
	<title><![CDATA[Applied Statistics for Bioinformatics using R]]></title>
	<description><![CDATA[<p>The purpose of this book is to give an introduction into statistics in order to solve some problems of bioinformatics. Statistics provides procedures to explore and visualize data as well as to test biological hypotheses. The book intends to be introductory in explaining and programming elementary statistical concepts, thereby bridging the gap between high school levels and the specialized statistical literature</p>]]></description>
	<dc:creator>Neel</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/37610" length="1368378" type="application/pdf" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44474/claw-chloroplast-long-read-assembly-workflow</guid>
	<pubDate>Wed, 21 Feb 2024 12:37:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44474/claw-chloroplast-long-read-assembly-workflow</link>
	<title><![CDATA[CLAW: Chloroplast Long-read Assembly Workflow]]></title>
	<description><![CDATA[<p dir="auto">CLAW (Chloroplast Long-read Assembly Workflow) is an mostly-automated Snakemake-based workflow for the assembly of chloroplast genomes. CLAW uses chloroplast long-reads, which are baited out of larger read libraries (e.g., an Oxford Nanopore Technologies MinION read library derived from photosynthetic tissue), for assembly with Flye and/or Unicycler. CLAW was designed with the novice bioinformatician in mind - it is easy to install and easy to use, requiring only minimal user input.</p><p>Address of the bookmark: <a href="https://github.com/aaronphillips7493/CLAW" rel="nofollow">https://github.com/aaronphillips7493/CLAW</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38487/betsy-a-new-backward-chaining-expert-system-for-automated-development-of-pipelines-in-bioinformatics</guid>
	<pubDate>Mon, 17 Dec 2018 18:46:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38487/betsy-a-new-backward-chaining-expert-system-for-automated-development-of-pipelines-in-bioinformatics</link>
	<title><![CDATA[BETSY: A new backward-chaining expert system for automated development of pipelines in Bioinformatics]]></title>
	<description><![CDATA[<p>The BETSY provides a command-line interface and available at&nbsp;<a href="https://github.com/jefftc/changlab">https://github.com/jefftc/changlab</a>. A user first searches in the knowledge base for desired output and then BETSY develops an initial workflow to produce that data which is later examined by the user. The user can optimize the parameters, the algorithm to preprocess the data, and normalize it depending on the task.</p>
<p>Currently, BETSY consists of modules required for the microarray and next-generation sequencing data [4] such as expression analysis, classification, peak calling, and visualization.</p><p>Address of the bookmark: <a href="https://github.com/jefftc/changlab" rel="nofollow">https://github.com/jefftc/changlab</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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