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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31156?offset=610</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34479/bioinformatics-lectures</guid>
	<pubDate>Wed, 29 Nov 2017 05:39:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34479/bioinformatics-lectures</link>
	<title><![CDATA[Bioinformatics lectures !]]></title>
	<description><![CDATA[<div>
<div>
<div>Computational Biology is a&nbsp;<em style="font-size: 12.8px; font-weight: normal;">huge</em>&nbsp;field of study, that touches upon many distinct algorithmic and biological areas of study. What we are able to cover in this course will depend, in part, on the pace at which we move, which I will attempt to adjust as appropriate. However, here is a tentative list of topics I hope to cover this semester (not necessarily in order).
<ul>
<li>Optimal sequence alignment (global, local, and glocal alignment &amp;mdash with constant &amp; affine gap penalties</li>
<li>Algorithms and data structures for efficient text indexing and&nbsp;<em>exact</em>&nbsp;search</li>
<li>Heuristics for read&nbsp;<em>alignment</em>&nbsp;and&nbsp;<em>mapping</em>&nbsp;&amp;mdash mapping DNA-seq and RNA-seq reads</li>
<li>Genome assembly &amp;mdash k-mers, De Brujin graph construction and representation, long-read technology and read-overlap graph assembly</li>
<li>Motif finding via Gibbs sampling</li>
<li>Gene finding &amp;mdash statistical models for&nbsp;<em>ab initio</em>&nbsp;and evidence-guided prediction of genes</li>
<li>RNA-seq and transcriptomics &amp;mdash transcript assembly, abundance estimation and differential expression testing</li>
<li>Phylogenetics &amp;mdash The small and large phylogeny problem; parsimony, maximum likelihood and Bayesian methods</li>
</ul>
</div>
</div>
</div><p>Address of the bookmark: <a href="https://rob-p.github.io/CSE549F16/lectures/" rel="nofollow">https://rob-p.github.io/CSE549F16/lectures/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/35257/india-and-germany-to-begin-joint-research-in-the-area-of-bioinformatics-in-health-research</guid>
	<pubDate>Wed, 17 Jan 2018 14:10:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/35257/india-and-germany-to-begin-joint-research-in-the-area-of-bioinformatics-in-health-research</link>
	<title><![CDATA[India and Germany to begin joint research in the area of 'Bioinformatics in Health Research']]></title>
	<description><![CDATA[<p><span>To facilitate bilateral cooperation in biotechnology between the scientific communities of India and Germany, the Department of Biotechnology (DBT) will soon begin collaborative research in the identified priority area of 'Bioinformatics in Health Research' under the programme of Indo-German Cooperation in Health Research.&nbsp;</span><br /><br /><span>The purpose of the programme is to stimulate new collaborations, e.g. the preparation of joint projects under national funding programmes. The programme facilitates bilateral cooperation in biotechnology between the scientific communities of India and Germany by way of joint research projects which will encompass bilateral workshops/seminar and exchange visits of scientists.&nbsp;</span><br /><br /><span>The programme is being implemented within the agreement of Indo-German cooperation in S&amp;T of 1974, under which the Department of Biotechnology, Government of India and Forschungszentrum Julich BMBH (FZJ), Federal Republic of Germany, have agreed for cooperative programme in biotechnology.</span><br /><br /><span>DBT of the Ministry of Science &amp; Technology, Government of India and the Project Management Agency at the German Aerospace Center (DLR-PT, European and International Cooperation), Bonn are the nodal implementing agencies from the Indian and German side respectively.</span><br /><br /><span>Through this programme, it is expected that the funded cooperation enables the partners to develop applicable scientific results which can be published and/ or could be commercialised and may lead to formation of joint ventures. All publications, patents coming out of these projects, need to be jointly authored by both Indian and German scientists. All necessary approvals like ethical clearance, HMSC approval from Indian point of view as well as EU, if applicable, from German point of view, e.g. before conducting animal experimentation if any needs to be obtained by PIs before undertaking the project.&nbsp;</span><br /><br /><span>Now, both the nodal agencies have invited research proposals in identified priority area of 'Bioinformatics in Health Research' from eligible scientists.&nbsp; Joint research projects are required to be submitted to both the nodal agencies by 15 January 2018. Scientists/faculty members working in regular capacity in universities, national R&amp;D laboratories/institutes and private R&amp;D institutes can be part of this joint research programme.&nbsp;&nbsp; For the private sector, partners from all kind of private sectors are eligible, but financing is limited. For Indian scientists from the private sector, only local hospitality in Germany as part of the exchange visit is available from the German side.&nbsp; For German scientists from the private sector, only travel costs are available for small and medium size enterprises (for definition of SME ref. to 2003/361/EC) as well as local hospitality in India will be borne by themselves.</span></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35798/an-introduction-to-applied-bioinformatics</guid>
	<pubDate>Fri, 02 Mar 2018 04:26:38 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35798/an-introduction-to-applied-bioinformatics</link>
	<title><![CDATA[An Introduction to Applied Bioinformatics]]></title>
	<description><![CDATA[<p>IAB is primarily being developed by&nbsp;<a href="http://caporasolab.us/people/greg-caporaso/">Greg Caporaso</a>(GitHub/Twitter:&nbsp;<a href="https://github.com/gregcaporaso">@gregcaporaso</a>) in the&nbsp;<a href="http://www.caporasolab.us/">Caporaso Lab</a>&nbsp;at&nbsp;<a href="http://www.nau.edu/">Northern Arizona University</a>. You can find information on the courses I teach on&nbsp;<a href="http://www.caporasolab.us/teaching">my teaching website</a>&nbsp;and information on my research and lab on&nbsp;<a href="http://www.caporasolab.us/">my lab website</a>.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://readiab.org/" rel="nofollow">http://readiab.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43850/merfin-improved-variant-filtering-assembly-evaluation-and-polishing-via-k-mer-validation</guid>
	<pubDate>Sun, 03 Apr 2022 20:35:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43850/merfin-improved-variant-filtering-assembly-evaluation-and-polishing-via-k-mer-validation</link>
	<title><![CDATA[Merfin: improved variant filtering, assembly evaluation and polishing via k-mer validation]]></title>
	<description><![CDATA[<p><span>Merfin, a&nbsp;</span><em>k</em><span>-mer based variant-filtering algorithm for improved accuracy in genotyping and genome assembly polishing. Merfin evaluates each variant based on the expected&nbsp;</span><em>k</em><span>-mer multiplicity in the reads, independently of the quality of the read alignment and variant caller&rsquo;s internal score. Merfin increased the precision of genotyped calls in several benchmarks, improved consensus accuracy and reduced frameshift errors when applied to human and nonhuman assemblies built from Pacific Biosciences HiFi and continuous long reads or Oxford Nanopore reads, including the first complete human genome. Moreover, we introduce assembly quality and completeness metrics that account for the expected genomic copy numbers.</span></p>
<p><span>More at&nbsp;https://www.nature.com/articles/s41592-022-01445-y</span></p>
<p><img src="https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41592-022-01445-y/MediaObjects/41592_2022_1445_Fig1_HTML.png" alt="image" style="border: 0px; border: 0px;"></p><p>Address of the bookmark: <a href="https://github.com/arangrhie/merfin" rel="nofollow">https://github.com/arangrhie/merfin</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37636/department-of-genetics-genomics-and-bioinformatics-national-biotechnology-development-agency-nigeria</guid>
	<pubDate>Wed, 05 Sep 2018 10:48:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37636/department-of-genetics-genomics-and-bioinformatics-national-biotechnology-development-agency-nigeria</link>
	<title><![CDATA[DEPARTMENT OF GENETICS, GENOMICS AND BIOINFORMATICS, National Biotechnology Development Agency, Nigeria]]></title>
	<description><![CDATA[<p>The Genetics, Genomics &amp; Bioinformatics Department (GBBD) at NABDA is unique, encompassing all facets of modern genetics and bioinformatics research. Trans-disciplinary research being conducted in our laboratories would lead to cures for human diseases; improvements to crop and livestock quality and yield; creation of new technologies with applications to medicine; agriculture; environment; and industry.</p>
<p>Our capacity building activities covers both general and specialized topics in translational genetics, and is designed to better acquaint scientists and clinicians with the tools and technologies of genetics and genomics.</p>
<p><span>OUR RESEARCH ACTIVITIES INCLUDE:</span></p>
<div>
<ul>
<li>Biomedical Genetics: investigating genetic and environmental factors contributing to phenotypes with relevance to human health and disease.</li>
<li>Computation and Bioinformatics: develop new approaches for the management, analysis, and modelling of large, complex data sets.</li>
<li>Population and Quantitative Genetics: study of how genetic processes evolve to generate genetic variation in populations of organisms, and the effects on the patterning of variation within and between populations and specie, and</li>
<li>Genetic Engineering and Biotechnology: focuses on the research and innovation for industrial enzymes, biologics and biosimilars production.</li>
</ul>
<p>https://www.h3abionet.org/nabda</p>
</div><p>Address of the bookmark: <a href="http://www.nabda.gov.ng/departments/genetics-genomics-and-bioinformatics" rel="nofollow">http://www.nabda.gov.ng/departments/genetics-genomics-and-bioinformatics</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44768/tritex-a-computational-pipeline-for-chromosome-scale-assembly-of-plant-genomes</guid>
	<pubDate>Fri, 14 Feb 2025 10:53:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44768/tritex-a-computational-pipeline-for-chromosome-scale-assembly-of-plant-genomes</link>
	<title><![CDATA[TRITEX, a computational pipeline for chromosome-scale assembly of plant genomes]]></title>
	<description><![CDATA[<p><span>This is the documentation of TRITEX, a computational pipeline for chromosome-scale assembly of plant genomes. It was developed in the research group Domestication Genomics at the Leibniz Institute of Plant Genetics and Crop Research (IPK) Gatersleben.</span></p><p>Address of the bookmark: <a href="https://tritexassembly.bitbucket.io/" rel="nofollow">https://tritexassembly.bitbucket.io/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/38590/senior-bioinformatics-scientist-strand-life-sciences-bangalore-india</guid>
  <pubDate>Wed, 02 Jan 2019 09:23:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[Senior Bioinformatics Scientist @ Strand Life Sciences -- Bangalore, India]]></title>
  <description><![CDATA[
<p>RESPONSIBILITIES<br />The candidate is expected to work on a variety of projects related to analysis of data from NGS, Mass Spectrometry, Flow Cytometry and other related modalities. The position expects hands-on work and a strong eye for detail. The candidate will be able to contribute to impactful work spanning patient care, clinical research, and new assay and method development.<br />REQUIREMENTS<br />A PhD in a quantitative field (statistics, math, bioinformatics, computer science, physics or similar) and work experience or post-doc experience handling high throughout genomics data.<br />PREFERENCES<br />Experience in working in inter-disciplinary groups and ability to author research publications are additional desired qualities.<br />LOCALE<br />The position is in Bangalore and reports to the Chief Scientific Officer.<br />HOW TO APPLY<br />Write to ramesh[at]strandls.com.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/40226/bioinformatics-training-courses-at-rasa-lsi</guid>
	<pubDate>Wed, 06 Nov 2019 00:30:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/40226/bioinformatics-training-courses-at-rasa-lsi</link>
	<title><![CDATA[Bioinformatics Training Courses At RASA LSI]]></title>
	<description><![CDATA[<p>RASA conducts comprehensive Life Science skill development training courses in Pune, India for working professionals, researchers, students and job-seeker. The trainings are crafted meticulously, covering different modules of courses such as Bioinformatics course, In silico Drug Discovery course, Next Generation Sequence data analysis course, Molecular Biology &amp; Life&nbsp;science software development course wherein you learn from industry leaders&nbsp;how to apply these skills in life science &amp; have a command over software developing process &nbsp;by using various methodologies. We conduct in-class training and instructor-led live online classes worldwide, along with corporate and skill development training worldwide.</p><p>Workshops are conducted in regular intervals on Drug Designing, Protein Modeling and Simulation, Chemoinformatics, Bioinformatics etc.The workshops are highly beneficial for working professionals, students, researcher for enhancements of the skills in short duration.</p>]]></description>
	<dc:creator>RASA Life Sciences</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40489/machine-learning-training-and-courses-in-bioinformatics</guid>
	<pubDate>Tue, 31 Dec 2019 19:33:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40489/machine-learning-training-and-courses-in-bioinformatics</link>
	<title><![CDATA[Machine learning training and courses in bioinformatics !]]></title>
	<description><![CDATA[<p>Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models and machine learning techniques. We will focus on probabilistic models (Markov models, Hidden Markov models, and Bayesian networks) for biological sequence analysis and systems biology. Other machine learning techniques, such as Naive bayes, neural networks and SVMs will only be covered briefly.</p>
<p>More at&nbsp;http://homes.sice.indiana.edu/yye/lab/teaching/spring2017-I529/</p>
<p>More tutorial at&nbsp;</p>
<p><a href="http://calla.rnet.missouri.edu/cheng_courses/mlbioinfo/mlbioinfo.htm">http://calla.rnet.missouri.edu/cheng_courses/mlbioinfo/mlbioinfo.htm</a></p>
<p><a href="http://www.raetschlab.org/lectures/MLBioinformatics">http://www.raetschlab.org/lectures/MLBioinformatics</a></p>
<p><a href="http://www.raetschlab.org/lectures/bertinoro08">http://www.raetschlab.org/lectures/bertinoro08</a></p>
<p>Book at&nbsp;</p>
<p><a href="https://personal.utdallas.edu/~pradiptaray/teaching/7_deep_learning_bioinfo.pdf">https://personal.utdallas.edu/~pradiptaray/teaching/7_deep_learning_bioinfo.pdf</a></p><p>Address of the bookmark: <a href="http://homes.sice.indiana.edu/yye/lab/teaching/spring2017-I529/" rel="nofollow">http://homes.sice.indiana.edu/yye/lab/teaching/spring2017-I529/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/42877/bioinformatician-on-valentines-day</guid>
	<pubDate>Sun, 14 Feb 2021 11:36:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/42877/bioinformatician-on-valentines-day</link>
	<title><![CDATA[Bioinformatician on Valentine's Day]]></title>
	<description><![CDATA[<p>Once asked to a bioinformatician "How is ur Valentine's Day?"</p><blockquote><p>Bioinformatician replied:</p><p>if ($date == "Valentine's Day" &amp;&amp; $me =! Bioinformatician) {</p><p>rose_day(); promise_day(); kiss_day();</p><p>}</p><p>else {</p><p>hack_genome(); ko-fi(); youtube(); do_scripting(); sleep();</p><p>)</p></blockquote>]]></description>
	<dc:creator>BioQueen</dc:creator>
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