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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31353?offset=830</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43284/tech-and-bioinformatics-roles-at-basepaws</guid>
  <pubDate>Wed, 18 Aug 2021 23:34:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[Tech and Bioinformatics roles at Basepaws]]></title>
  <description><![CDATA[
<p>Basepaws is an LA-based pet genomics company, quickly growing and focused on feline and canine at-home genetic and biome tests, along with many other projects and products in the works. Thank you for taking a look!</p>

<p>Bioinformatics : https://www.linkedin.com/jobs/view/2681785372/</p>

<p>Engineer: https://www.linkedin.com/jobs/view/2681796993/</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/3013/python-and-biopython-tutorial</guid>
	<pubDate>Fri, 23 Aug 2013 06:47:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/3013/python-and-biopython-tutorial</link>
	<title><![CDATA[Python and BioPython Tutorial]]></title>
	<description><![CDATA[<p>A quickstart tutorial that allows to become familiar with the Python language. The exercises expect knowledge of basic concepts of programming. A group of 2nd year computer science students with no previous Python knowledge required 60'-90' to complete the exercises. With about 3 hours time, the exercise is suitable for non-programmers as well.</p><p>Address of the bookmark: <a href="http://www.biotnet.org/training-materials/python-programmers" rel="nofollow">http://www.biotnet.org/training-materials/python-programmers</a></p>]]></description>
	<dc:creator>Manshi Raghubanshi</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/44400/pevzner-lab</guid>
  <pubDate>Thu, 02 Nov 2023 05:39:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[Pevzner Lab !]]></title>
  <description><![CDATA[
<p>The laboratory works on genome sequencing, immunoproteogenomics, antibiotics sequencing, and comparative genomics - computational technologies that enabled new applications and allowed scientists to attack biological problems that remained beyond the reach of previous techniques.</p>

<p>https://bioalgorithms.ucsd.edu/research4.html</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/3967/research-project-posts-for-csir-project-delhi</guid>
  <pubDate>Tue, 27 Aug 2013 04:31:41 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Project Posts for CSIR Project, Delhi]]></title>
  <description><![CDATA[
<p>Positions Open For Temporary Research Project Posts for CSIR Project, Delhi<br />CSIR is looking for bright young candidates to get involved in building algorithms and platforms for large biological data analyses in the areas of comparative genomics, computational workflows, disease association studies, simulating virtual organelles, etc. Anyone who fulfills the eligibility criteria mentioned below may appear for a walk-in interview on 3rd September 2013 at CSIR Headquarters, Anusandhan Bhawan, 2 Rafi Marg, Delhi – 110001.<br />you can go to link for details or download PDF</p>

<p>http://www.csir.res.in/External/Heads/aboutcsir/announcements/ProjectPost_130813.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4288/new-born-babies-get-ready-to-know-their-whole-genome-soon</guid>
	<pubDate>Thu, 05 Sep 2013 07:24:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4288/new-born-babies-get-ready-to-know-their-whole-genome-soon</link>
	<title><![CDATA[New born babies get ready to know their whole genome soon!!!]]></title>
	<description><![CDATA[<p>USA launch a pilot projects to examine medical information of newborn baby, which are being funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and the National Human Genome Research Institute (NHGRI), both parts of the National Institutes of Health.</p><p>Awards of $5 million to four grantees have been made in fiscal year 2013 under the Genomic Sequencing and Newborn Screening Disorders research program. The program will be funded at $25 million over five years, as funds are made available.</p><p>"Hundreds of US babies will be pioneers in genomic medicine through a&nbsp;US$25-million programme to sequence their genomes&nbsp;soon after they are born."</p><p><strong>Source</strong>:</p><p><a href="http://blogs.nature.com/news/2013/09/scientists-to-sequence-hundreds-of-newborns-genomes.html">http://blogs.nature.com/news/2013/09/scientists-to-sequence-hundreds-of-newborns-genomes.html</a></p><p><a href="http://www.genome.gov/27554919">http://www.genome.gov/27554919</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/4098/bioinformatics-algorithm-demonstrations-and-tutorials</guid>
	<pubDate>Thu, 29 Aug 2013 09:23:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/4098/bioinformatics-algorithm-demonstrations-and-tutorials</link>
	<title><![CDATA[Bioinformatics Algorithm Demonstrations and Tutorials]]></title>
	<description><![CDATA[<p>Abstract</p>
<p>This project presents demonstrations of selected computer science algorithms important in&nbsp;bioinformatics, implemented in the spreadsheet program Microsoft Excel. Spreadsheets provide an&nbsp;interesting platform for demonstration of algorithms, since various steps of the calculations can be&nbsp;exposed in a manner that is easily comprehensible to users with little programming experience. The&nbsp;algorithms demonstrated include two approaches to approximate string matching (dynamic programming&nbsp;and Shift-AND numeric approximate matching), Hierarchical Clustering (used in phylogenetic studies&nbsp;and microarray analysis of gene expression), a Naive Bayes Classifier for simulated microarray gene&nbsp;expression data, and a simple Neural Network. These demonstrations are designed to serve as&nbsp;instructional aids in bioinformatics courses.</p>
<p>Tutorial @&nbsp;http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsInExcel.zip</p>
<p>One of the best resource for online bioinformatics learning is https://stepic.org/Bioinformatics-Algorithms-2 Enjoy the online learning.</p>
<p>Reference :&nbsp;cybertory</p>
<blockquote>
<p><span>" Please add your favourite bioinformatics algorithms and tutorial links below in the comment section, for the benefit of bioinformatics and computational biology community ".&nbsp;</span></p>
</blockquote><p>Address of the bookmark: <a href="http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsExcelDoc.pdf" rel="nofollow">http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsExcelDoc.pdf</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33976/goldgenomes-online-database</guid>
	<pubDate>Wed, 26 Jul 2017 07:49:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33976/goldgenomes-online-database</link>
	<title><![CDATA[GOLD:Genomes Online Database]]></title>
	<description><![CDATA[<p><span>GOLD</span><span>:Genomes Online Database, is a World Wide Web resource for comprehensive access to information regarding genome and metagenome sequencing projects, and their associated metadata, around the world.</span></p>
<p>https://gold.jgi.doe.gov/</p><p>Address of the bookmark: <a href="https://gold.jgi.doe.gov/" rel="nofollow">https://gold.jgi.doe.gov/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4162/4273%CF%80-bioinformatics-education-on-low-cost-arm-hardware</guid>
	<pubDate>Mon, 02 Sep 2013 07:02:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4162/4273%CF%80-bioinformatics-education-on-low-cost-arm-hardware</link>
	<title><![CDATA[4273π: Bioinformatics education on low cost ARM hardware]]></title>
	<description><![CDATA[<p>Are you teaching bioinformatics at universities and found it complicated by typical computer classroom settings. As well as running software locally and online, students should gain experience of systems administration. Hmm don't worry there is one new OS for the rescue. 4273<em>&pi;</em>, an operating system image for Raspberry Pi based on Raspbian Linux. It provides an attractive, general-purpose computing environment, within which the course 4273&pi; Bioinformatics for Biologists is embedded.<br /><br />Though far slower than current desktop and laptop computers, the Raspberry Pi is notably faster than the Cray 1 supercomputer, a marvel of computer speed in its day. The Raspberry Pi approach includes all the benefits of the laptop approach, above, but at lower cost. In addition, the Raspberry Pi is a new and exciting computer system, which in itself can add interest to the course.<br /><br />As the Raspbian operating system, Raspberry Pi firmware and hardware and 4273&pi; Bioinformatics for Biologists teaching material develop, further releases of 4273&pi; will be made available. It is anticipated that there will be a minimum of two releases per year during the next four years.</p><p>4273<em>&pi;</em> is a means to teach bioinformatics, including systems administration tasks, to undergraduates at low cost.</p><p>Descriptive paper @ http://www.biomedcentral.com/1471-2105/14/243</p><p>Image source: BMC Bioinformatics</p><p><img src="http://www.biomedcentral.com/content/download/figures/1471-2105-14-243-1.png" alt="image" style="border: 0px; border: 0px;"></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34482/ribbon-visualizing-complex-genome-alignments-and-structural-variation</guid>
	<pubDate>Wed, 29 Nov 2017 07:40:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34482/ribbon-visualizing-complex-genome-alignments-and-structural-variation</link>
	<title><![CDATA[Ribbon: Visualizing complex genome alignments and structural variation:]]></title>
	<description><![CDATA[<p>Ribbon can be used for long reads, short reads, paired-end reads, and assembly/genome alignments. Instructions for each data format are available by clicking on "instructions" in each tab on the right.</p>
<p>Local installation:</p>
<p>You can install Ribbon locally from Github by following the instructions here:&nbsp;<a href="https://github.com/MariaNattestad/ribbon" target="_blank">https://github.com/MariaNattestad/Ribbon</a></p><p>Address of the bookmark: <a href="http://genomeribbon.com/" rel="nofollow">http://genomeribbon.com/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4409/huber-lab</guid>
  <pubDate>Mon, 09 Sep 2013 21:57:03 -0500</pubDate>
  <link></link>
  <title><![CDATA[Huber Lab]]></title>
  <description><![CDATA[
<p>The Huber group develops computational and statistical methods to design and analyse novel experimental approaches in genetics and cell biology. </p>

<p>Future projects and goals</p>

<p>Large-scale systematic maps of gene-gene and gene-environment interactions by automated phenotyping, using image analysis, machine learning, sparse model building and causal inference.<br />DNA-, RNA- and ChIP-Seq and their applications to gene expression regulation: statistical and computational foundations.<br />Cancer genomics, genomes as biomarkers, cancer phylogeny.<br />Image analysis for systems biology: measuring the dynamics of cell cycle and of cell migration of individual cells under normal conditions and many different perturbations (RNAi, drugs).</p>

<p>More @ http://www.embl.de/research/units/genome_biology/huber/index.html</p>
]]></description>
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