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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/21257?offset=1110</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/7913/the-genome-factory</guid>
	<pubDate>Thu, 16 Jan 2014 02:09:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/7913/the-genome-factory</link>
	<title><![CDATA[The genome factory !!!]]></title>
	<description><![CDATA[<p>Illumina, Inc. announced Tuesday that its new HiSeq X Ten Sequencing System has broken the &ldquo;sound barrier&rdquo; of human genomics by enabling the $1,000 genome. &ldquo;This platform includes dramatic technology breakthroughs that enable researchers to undertake studies of unprecedented scale by providing the throughput to sequence tens of thousands of human whole genomes in a single year in a single lab,&rdquo; Illumina stated.</p><p>Initial customers for the HiSeq X Ten System, which will ship in Q1 2014, include Macrogen, based in Seoul, South Korea and its CLIA laboratory in Rockville, Maryland, the Broad Institute in Cambridge, Massachusetts, and the Garvan Institute of Medical Research in Sydney, Australia.</p><p>&ldquo;For the first time, it looks like it will be possible to deliver the $1,000 genome, which is tremendously exciting,&rdquo; said Eric Lander, founding director of the Broad Institute and a professor of biology at MIT. &ldquo;The HiSeq X Ten should give us the ability to analyze complete genomic information from huge sample populations. Over the next few years, we have an opportunity to learn as much about the genetics of human disease as we have learned in the history of medicine.&rdquo;</p><p>&ldquo;The HiSeq X Ten is an ideal platform for scientists and institutions focused on the discovery of genotypic variation to enable a deeper understanding of human biology and genetic disease,&rdquo; Illumina stated. &ldquo;It can sequence tens of thousands of samples annually with high-quality, high-coverage sequencing, delivering a comprehensive catalog of human variation within and outside coding regions.&rdquo;</p><p>HiSeq X Ten utilizes a number of advanced design features to generate massive throughput. Patterned flow cells, which contain billions of nanowells at fixed locations, combined with a new clustering chemistry deliver a significant increase in data density (6 billion clusters per run). Using state-of-the art optics and faster chemistry, HiSeq X Ten can process sequencing flow cells more quickly than ever before &mdash; generating a 10x increase in daily throughput when compared to current HiSeq 2500 performance.</p><p>The HiSeq X Ten is sold as a set of 10 or more ultra-high throughput sequencing systems, each generating up to 1.8 terabases (Tb) of sequencing data in less than three days or up to 600 gigabases (Gb) per day, per system, providing the throughput to sequence tens of thousands of high-quality, high-coverage genomes per year. Illumina says the $1,000 includes typical instrument depreciation, DNA extraction, library preparation, and estimated labor.</p>]]></description>
	<dc:creator>Madhvan Reddy</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/20508/15-highly-motivated-early-stage-researchers-esrsphd-positions</guid>
  <pubDate>Sun, 25 Jan 2015 05:23:53 -0600</pubDate>
  <link></link>
  <title><![CDATA[15 highly motivated Early Stage Researchers (ESRs)/PhD positions]]></title>
  <description><![CDATA[
<p>The MiND programme  looking for 15 highly motivated Early Stage Researchers (ESRs), researchers with a BSc or MSc degree within the first four years (full-time equivalent) of their research career</p>

<p> All applications sent before  2nd of February 2015.</p>

<p>http://www.mind-project.eu/career</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22891/17-marie-curie-phd-position-available-immediately</guid>
  <pubDate>Tue, 23 Jun 2015 06:52:06 -0500</pubDate>
  <link></link>
  <title><![CDATA[17 Marie Curie PhD position available immediately]]></title>
  <description><![CDATA[
<p>Kindly look into following webpage:<br />http://medhealth.leeds.ac.uk/info/1450/scholarships/1795/marie_curie_phd_training_network</p>

<p>The closing date for application will be 26 June 2015.</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/35423/jrf-at-jaypee-institute-of-information-technology-jiit-noida-department-of-biotechnology</guid>
  <pubDate>Fri, 02 Feb 2018 11:26:14 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF at Jaypee Institute of Information Technology (JIIT), Noida Department of Biotechnology]]></title>
  <description><![CDATA[
<p>Lab of Dr. Rawal is supported by generous grants to build advanced applications in emerging areas of cancer genomics, network sciences, vaccine development and epidemiology. The lab has dedicated high end Xeon servers, desktops, &amp; laptops for research purpose. Currently, there are several researchers (JRFs, B. Techs, M. Tech and PhDs) working on several challenging bioinformatics projects. In addition, Dr. Rawal has collaborations with reputed national and international research teams.</p>

<p>Dr. Rawal and his US based collaborators have recently secured grant for development of vaccine against an infectious disease agent. For this project, applications are invited for the posts of Junior Research Fellow (two positions) for the following time-bound sponsored projects as per the details given below:</p>

<p>PI: Dr. Kamal Rawal, Biotechnology Department, JIIT, Noida.</p>

<p>Post: JRF (Two)</p>

<p>Job Description: Bioinformatics analysis, Software development, Programming, Text Mining, Deep Curation</p>

<p>Duration: The post is valid upto duration of the project. Continuation is subject to satisfactory performance.</p>

<p>Emoluments depends upon experience and skill sets. We will hire them on following scale:</p>

<p>Junior Scale- Level 1: Rs 22000 per month.</p>

<p>Senior Scale - Level 2: Rs 30000 per month.</p>

<p>Essential Qualification(s) for JRF post:</p>

<p>(A) A Master degree (MSc or MTech or equivalent with minimum of 55% marks) in Bioinformatics/Computer Sciences, IT, Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences or Statistics, Agriculture, Veterinary, Medicine, Pharmacy, Engineering &amp; Technology from a recognized University/Institute and having some experience/skills in bioinformatics, programming, computational or software development work.</p>

<p>(B) In exceptional cases, we can also consider candidates with B. Tech or equivalent with right skill sets and experience for the post of JRFs.</p>

<p>Desirable:</p>

<p>A) Preference will be given to BINC (Bioinformatics National Certification)/DBT-BET/ICMR/ CSIR /UGC/ JRF/ NET qualified candidates. However, Non- NET qualified candidates can also apply.<br />B) Candidates who have worked with programing, text mining, NGS data analysis etc are encouraged to apply.<br />Updated resume including a cover letter (preferably by E. mail) should be mailed to bioinfocvatgmaildotcom, and Dr. Kamal Rawal at kamaldotrawalatgmaildotcom. Short listed candidates would be called for interview. No TA/DA will be paid to the candidates called for interview.</p>

<p>Candidate may also fill the following form:</p>

<p>https://docs.google.com/…/1FAIpQLSdZoZ21ZoNRStEeL5…/viewform</p>

<p>Or</p>

<p>http://tinyurl.com/bioinfocv2017</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/35868/simpson-lab</guid>
  <pubDate>Tue, 06 Mar 2018 08:59:09 -0600</pubDate>
  <link></link>
  <title><![CDATA[Simpson Lab]]></title>
  <description><![CDATA[
<p>We are the Statistical Bioinformatics group in the Institute for Adaptive and Neural Computation in the School of Informatics at the University of Edinburgh. The group is led by Dr. Ian Simpson who is a Lecturer in Biological Informatics in the School of Informatics at Edinburgh University. Details to follow....</p>

<p>http://statbio.github.io</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37618/snakemake%E2%80%94a-scalable-bioinformatics-workflow-engine</guid>
	<pubDate>Sun, 02 Sep 2018 16:32:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37618/snakemake%E2%80%94a-scalable-bioinformatics-workflow-engine</link>
	<title><![CDATA[Snakemake—a scalable bioinformatics workflow engine]]></title>
	<description><![CDATA[<p><span>Snakemake is a workflow engine that provides a readable Python-based workflow definition language and a powerful execution environment that scales from single-core workstations to compute clusters without modifying the workflow.&nbsp;</span></p><p>Address of the bookmark: <a href="https://bioconda.github.io/recipes/snakemake/README.html" rel="nofollow">https://bioconda.github.io/recipes/snakemake/README.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/39469/introduction-to-bioinformatics</guid>
	<pubDate>Wed, 05 Jun 2019 14:58:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/39469/introduction-to-bioinformatics</link>
	<title><![CDATA[Introduction to Bioinformatics]]></title>
	<description><![CDATA[<p><img src="https://edu.t-bio.info/wp-content/uploads/2017/07/Introduction-Course-Title-11.jpg" alt="Introduction to Bioinformatics Course" width="600" height="315.6" style="vertical-align: top; border: 0px; border: 0px;"></p><p>Introduction to bioinformatics is a course for biologists and clinicians that would like to learn more about the way bioinformatics is used in healthcare, biotech and pharmaceuitcal industry as well as basic research. The course covers many of the topics transformed by the emergence of big data and computational technologies. To learn more about the course, visit:&nbsp;<a href="https://edu.t-bio.info/course/introduction-bioinformatics/">https://edu.t-bio.info/course/introduction-bioinformatics/</a></p>]]></description>
	<dc:creator>eliabrodsky</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/40881/liu-lab</guid>
  <pubDate>Tue, 04 Feb 2020 06:27:02 -0600</pubDate>
  <link></link>
  <title><![CDATA[Liu Lab]]></title>
  <description><![CDATA[
<p>Shirley is a computational biologist with expertise in cancer epigenetics. Her research focuses on algorithm development and integrative mining from big data generated on microarrays, massively parallel sequencing, and other high throughput techniques to model the specificity and function of transcription factors, chromatin regulators and lncRNAs in tumor development, progression, drug response and resistance.</p>

<p>https://liulab-dfci.github.io/software/</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/9213/basic-notions-in-molecular-biology-and-genetics</guid>
	<pubDate>Sun, 16 Mar 2014 18:15:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/9213/basic-notions-in-molecular-biology-and-genetics</link>
	<title><![CDATA[Basic Notions in Molecular Biology and Genetics]]></title>
	<description><![CDATA[<p>This is a presentation about some fundamental concepts applied in molecular biology and genetics, also it contains a little bit of the experience that one of our members has gained in his years of undergraduate state related to molecular cloning. Our research group, called "BIOPHARM" (Acronymus of Laboratory of Bioinformatics and Pharmacogenetics), was stablished on 2007, took it a bit of years to make it real this initative, although, nowadays, we're working on some projects involved in those fields. This research group belongs to the Department of Biochemistry, Faculty of Pharmacy and Biochemistry, Universidad Nacional Mayor de San Marcos, Lima, Per&uacute;. We try to encourage research initiatives, helping them and also we use to participate in differents courses, congress and symposiums.</p>]]></description>
	<dc:creator>Antony Campos</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/9213" length="2962422" type="application/pdf" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41202/biocontainers</guid>
	<pubDate>Thu, 20 Feb 2020 05:29:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41202/biocontainers</link>
	<title><![CDATA[BioContainers]]></title>
	<description><![CDATA[<p><span>BioContainers is a community-driven project that provides the infrastructure and basic guidelines to create, manage and distribute bioinformatics packages (e.g conda) and containers (e.g docker, singularity). BioContainers is based on the popular frameworks&nbsp;</span><a href="https://conda.io/">Conda</a><span>,&nbsp;</span><a href="https://www.docker.com/">Docker</a><span>&nbsp;and&nbsp;</span><a href="https://www.sylabs.io/docs/">Singularity</a><span>.</span></p><p>Address of the bookmark: <a href="https://biocontainers.pro/#/" rel="nofollow">https://biocontainers.pro/#/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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