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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31018?offset=360</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/17926/orange-bioinformatics-2534</guid>
	<pubDate>Mon, 06 Oct 2014 12:51:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/17926/orange-bioinformatics-2534</link>
	<title><![CDATA[Orange-Bioinformatics 2.5.34]]></title>
	<description><![CDATA[<p>Orange Bioinformatics extends <a href="http://orange.biolab.si/">Orange</a>, a data mining software package, with common functionality for bioinformatics. The provided functionality can be accessed as a Python library or through a visual programming interface (Orange Canvas). The latter is also suitable for non-programmers.</p>
<p>Orange Bioinformatics provides access to publicly available data, like GEO data sets, Biomart, GO, KEGG, Atlas, ArrayExpress, and PIPAx database. As for the analytics, there is gene selection, quality control, scoring distances between experiments with multiple factors. All features can be combined with powerful visualization, network exploration and data mining techniques from the Orange data mining framework.</p><p>Address of the bookmark: <a href="https://pypi.python.org/pypi/Orange-Bioinformatics/2.5.34" rel="nofollow">https://pypi.python.org/pypi/Orange-Bioinformatics/2.5.34</a></p>]]></description>
	<dc:creator>Robert M Willioms</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43711/vcf-compare</guid>
	<pubDate>Wed, 19 Jan 2022 10:30:14 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43711/vcf-compare</link>
	<title><![CDATA[VCF Compare !]]></title>
	<description><![CDATA[<h2><span>compare two&nbsp;<strong>BWA</strong>&nbsp;mapping methods with the online hg18-mapped data</span></h2>
<p>We first operate a rapid inspection of the different BAM files using&nbsp;<strong>samtools flagstat</strong>. Illumina provided chr21 read mapping obtained with their&nbsp;<strong>GA IIx</strong>&nbsp;deep sequencing platform &lt;<a href="ftp://webdata:webdata@ussd-ftp.illumina.com/Data/SequencingRuns/NA18507_GAIIx_100_chr21.bam" target="_blank">ftp://webdata:webdata@ussd-ftp.illumina.com/Data/SequencingRuns/NA18507_GAIIx_100_chr21.bam</a>&gt;, aligned to the b36/hg18 reference genome)</p><p>Address of the bookmark: <a href="https://wiki.bits.vib.be/index.php/NGS_Exercise.6#compare_aln_.26_mem_results_with_vcf-compare" rel="nofollow">https://wiki.bits.vib.be/index.php/NGS_Exercise.6#compare_aln_.26_mem_results_with_vcf-compare</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/18385/biinformamatics-lead-at-google-life-sciences</guid>
  <pubDate>Fri, 17 Oct 2014 02:24:55 -0500</pubDate>
  <link></link>
  <title><![CDATA[Biinformamatics Lead at Google Life Sciences]]></title>
  <description><![CDATA[
<p>Google Life Sciences is recruiting a technical lead with experience in bioinformatics and clinical bioinformatics, including for biomarker discovery projects such as the Baseline study.</p>

<p>Responsibilities</p>

<p>Lead teams of scientists in structuring, prototyping, and executing large-scale bioinformatic and other analysis.<br />Develop novel bioinformatics, statistical, data processing, pathway, data mining and other algorithms to identify biological signals and their clinical correlates in broad kinds of individual and population data.<br />Develop novel platform-level analytical tools for sequence-based assays (assembly, annotation, variant calling and interpretation, phasing, genome structure, etc.), expression assays (RNAseq and microarray), proteomics, and metabolomics.<br />Develop statistical models that robustly correlate complex laboratory-derived information with phenotypic and clinical information.<br />Create scientifically rigorous visualizations, communications, and presentations of results.</p>

<p>Reference @ https://www.google.com/about/careers/search#!t=jo&amp;jid=62095001</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19633/vital-it</guid>
	<pubDate>Thu, 18 Dec 2014 10:46:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19633/vital-it</link>
	<title><![CDATA[Vital-IT]]></title>
	<description><![CDATA[<p>Vital-IT is a <strong>bioinformatics competence center</strong> that supports and collaborates with life scientists in Switzerland and beyond. The <a href="http://www.vital-it.ch/about/team.php">multi-disciplinary team</a> provides expertise, training and maintains a high-performance computing (HPC) and storage infrastructure, so as to help develop, maintain and extend life science and medical research (<a href="http://www.vital-it.ch/about/activities.php">activities</a>).</p><p>Address of the bookmark: <a href="http://www.vital-it.ch/" rel="nofollow">http://www.vital-it.ch/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37257/asar-advanced-metagenomic-sequence-analysis-in-r</guid>
	<pubDate>Mon, 09 Jul 2018 05:20:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37257/asar-advanced-metagenomic-sequence-analysis-in-r</link>
	<title><![CDATA[ASAR: Advanced metagenomic Sequence Analysis in R]]></title>
	<description><![CDATA[<p><span>An interactive data analysis tool for selection, aggregation and visualization of metagenomic data is presented. Functional analysis with a SEED hierarchy and pathway diagram based on KEGG orthology based upon MG-RAST annotation results is available.</span></p>
<p><span><span>To read the manual, please click the link&nbsp;</span><a href="https://askarbek-orakov.github.io/ASAR/">https://askarbek-orakov.github.io/ASAR/</a></span></p><p>Address of the bookmark: <a href="https://github.com/Askarbek-orakov/ASAR" rel="nofollow">https://github.com/Askarbek-orakov/ASAR</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44491/cgviewjs-is-a-circular-genome-viewing-tool</guid>
	<pubDate>Wed, 27 Mar 2024 11:16:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44491/cgviewjs-is-a-circular-genome-viewing-tool</link>
	<title><![CDATA[CGView.js is a Circular Genome Viewing tool]]></title>
	<description><![CDATA[<p>CGView.js is a&nbsp;<span>C</span>ircular&nbsp;<span>G</span>enome&nbsp;<span>View</span>ing tool for visualizing and interacting with small genomes. This software is an adaptation of the Java program&nbsp;<a href="https://paulstothard.github.io/cgview/">CGView</a>.</p>
<div>
<p>CGView.js is the genome viewer of Proksee, an expert system for genome assembly, annotation and visualization.</p>
<a href="https://proksee.ca/"></a></div>
<h1 id="features">Features</h1>
<ul>
<li>
<p>Circular and linear views of genomes</p>
</li>
<li>
<p>Capable of drawing genomes up to 10 Mbp with 1000's of features and 100's contigs</p>
</li>
<li>
<p>Smooth zooming down to the sequence level</p>
</li>
<li>
<p>Easily generate features and plots directly form the sequence (e.g. ORFs, GC-content and GC-Skew)</p>
</li>
<li>
<p>Save high resolution PNG maps up to 8000x8000px</p>
</li>
<li>
<p>Fully documented API for interacting with CGView.js maps</p>
</li>
</ul><p>Address of the bookmark: <a href="https://js.cgview.ca/" rel="nofollow">https://js.cgview.ca/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/22410/nicolas-corradi-lab</guid>
  <pubDate>Tue, 26 May 2015 16:19:02 -0500</pubDate>
  <link></link>
  <title><![CDATA[Nicolas Corradi Lab]]></title>
  <description><![CDATA[
<p>The goal of our research is to better understand the biology of microbial organisms of significant ecological, veterinary and medical importance.<br />To achieve this goal, our team combines the power of next generation DNA sequencing and  bioinformatics with molecular biology and experimental procedures.</p>

<p>Main research topics:<br />- Comparative and Population Genomics of Plant Symbionts<br />- Parasite Genome Evolution<br />- Experimental Evolution of Microbial Symbionts and Parasites<br />- Phylogenomics of Early Branching Fungi</p>

<p>More at http://corradilab.weebly.com/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23278/research-associate-project-fellow-biological-sciences-at-igib</guid>
  <pubDate>Sun, 12 Jul 2015 07:57:27 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate, Project Fellow (Biological Sciences) at IGIB]]></title>
  <description><![CDATA[
<p>Research Associate, Project Fellow (Biological Sciences)<br />Institute of Genomics &amp; Integrative Biology (IGIB) - New Delhi, Delhi<br />Pay Scale: Rs. 22,000/- + 30 % HRA per month<br />Educational Requirements: PhD in any branch of Biological Sciences with specialization in Bioinformatics with at least one research paper in Science Citation Indexed (SCI) journal<br />Desired Skills: Knowledge of molecular dynamics simulations<br />Details will be available at: http://www.igib.res.in/sites/default/files/24July2015.pdf</p>

<p>Project Fellow (Biological Sciences) Pay Scale: Rs. 16,000/- + 30 % HRA per month<br />Educational Requirements: M.Sc./B.Tech in life sciences/Biological sciences with at least 55 % marks<br />Experience Requirements: Research experience.<br />Details will be available at: http://www.igib.res.in/sites/default/files/24July2015.pdf</p>

<p>No of Post: 01<br />How To Apply: 1. Please fill up the proforma by clicking on the following link HR Online Form. 2. Candidate cannot apply for more than two posts. Last date of receiving application is 12-07-2015. No application would be entertained with “result awaited” status or after due date. List of shortlisted candidates will be put up on CSIR-IGIB website. No TA/DA will be paid to the candidates to attend the interview. The engagement shall be as per guidelines of CSIR/Funding agency. Candidates will have an option to give reply in Hindi. Note: The shortlisted candidates, have to report at 09:00 AM at Mall Road Campus, Delhi – 110007 on the day of interview along with any Photo ID card, (without photo ID card interview will not be conducted). 3 copies of updated signed C. V. (clearly mentioning Date of Birth and Highest Qualification with percentage), Dissertation (if any), PhD thesis (if any) and original certificates/Self attested photocopies for verification.<br />Detail of Interview: 24 July, 2015 at 10:30 AM<br />Age Limit: 28 Years</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23378/ra-bioinformatics-at-bharathidasan-university</guid>
  <pubDate>Fri, 17 Jul 2015 19:40:45 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at Bharathidasan University]]></title>
  <description><![CDATA[
<p>Applications are invited from individuals who have high motivation to do research for the DBT sponsored project o n “Establishment of National Repository for Microalgae &amp; Cyanobacteria” funded by Department of Biotechnology, Govt. of India under the supervision of Dr. N. Thajuddin, Principal Investigator, Department of Microbiology, Bharathidasan University, Tiruchirappalli- 620 024.</p>

<p>1. Research Associate – 1 No.</p>

<p>Rs. 36,000/38,000/40,000 per month for I, II and III year + 20% HRA</p>

<p>Essential : Doctoral degree in relevant subject from recognized University/ Institutes</p>

<p>Desirable: Research experience in molecular biology and bioinformatics.</p>

<p>Interested candidates can send their complete CV in plain paper with a passport size photograph, with details of marks secured in all subjects from plus two stage (with proof, full postal address, sex, date of birth, community etc., along with additional qualification or experiences and two address of references whom could be contacted.</p>

<p>DEPARTMENT OF MICROBIOLOGY SCHOOL OF LIFE SCIENCES UNIVERSITY Dr. N. THAJUDDIN Professor &amp; Head Dean, Faculty of Science, Technology &amp; Engineering Tiruchirappalli – 620 024, India, Phone: +91 431 2407082; Mobile +91 098423 79719; E-mail: nthaju2002@yahoo.com</p>

<p>Application should reach the Principal Investigator on or before 5.8.2015 by Speed post/Couriers/Email (nthaju2002@yahoo.com), with subject printed as “Application for Research Associate /Technical Assistant /Lab attendant” in the envelop. Qualifying candidates will be short listed and communicated with date of interview. No TA and DA will be given for attending the interview. Address for Communication Dr.N.Thajuddin Principal Investigator Department of Microbiology Bharathidasan University Tiruchirappalli – 620 024, Tamil Nadu.</p>

<p>Advertisement: www.bdu.ac.in/adv/microbiology_advt.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23428/icgeb-bioinformatics-research-associate-vacancy</guid>
  <pubDate>Thu, 23 Jul 2015 19:45:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[ICGEB Bioinformatics Research Associate Vacancy]]></title>
  <description><![CDATA[
<p>Junior Research Fellow (JRF) / Postdoc positions in Cell and Structural biology at ICGEB, New Delhi with Amit Sharma</p>

<p>Research positions are open starting 15th August 2015.</p>

<p>Projects are specifically for protein structure analysis. Projects also involve drug binding studies both computationally and experimentally.</p>

<p>CSIR/SPM/INSPIRE/DBT/UGC JRF/post-doc fellowships are essential for applications.</p>

<p>Email curriculum vitae to sb.icgeb@gmail.com by 14 August 2015</p>
]]></description>
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