<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30304?offset=1490</link>
	<atom:link href="https://bioinformaticsonline.com/related/30304?offset=1490" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/32822/phd-positions-in-genova-at-dibris-univ-of-genoa-italy</guid>
  <pubDate>Thu, 18 May 2017 00:04:07 -0500</pubDate>
  <link></link>
  <title><![CDATA[PhD positions in Genova at DIBRIS - Univ. of Genoa, Italy]]></title>
  <description><![CDATA[
<p>PhD positions in Genova at DIBRIS - Univ. of Genoa (Italy)</p>

<p>http://www.disi.unige.it/person/MasulliF/ricerca/PhDinGenova2017.html</p>

<p>The call for some funded positions for  the 3 years PhD studies  at the Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS) in Genova is available at</p>

<p>http://www.studenti.unige.it/postlaurea/dottorati/XXXIII/ENG/</p>

<p>The deadline for applications is June13, 2017 and the PhD courses and fellowships should start on Nov 2017.</p>

<p>Details for the application to the  PhD Program in Computer Science and Systems Engineering (CODICE 6608) are at http://phd.dibris.unige.it/csse/index.php/how-to-apply</p>

<p>The research activity of my research group is focused on Computational Intelligence, Machine Learning, Bioinformatics, Systems Biology, and Positive Technology as described at http://www.disi.unige.it/person/MasulliF/ricerca/index.html</p>

<p>The research themes proposed by me and Prof. Stefano Rovetta are:</p>

<p>- Computational Intelligence and Machine Learning (see http://www.disi.unige.it/person/MasulliF/ricerca/Phd2017-T1.html)</p>

<p>- Computational Intelligence and Health and Wellbeing Support( see http://www.disi.unige.it/person/MasulliF/ricerca/Phd2017-T3.html)</p>

<p>You can also propose a different research theme belonging to the research activity of my group.</p>

<p>Looking for self-motivated PhD candidates, interested to the mathematical aspects of their research and to the development of new algorithms for intelligent data analysis, and skilled in programming and   in  thorough experimental data analysis. They will be part of my research group and will collaborate to our research projects and publications.</p>

<p>Italian and international students interested to work are invited  to send their cv  and the name/email-addresses of 3 referees to my email address francesco.masulli@unige.it A.S.A.P.</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/33966/ra-bioinformatics-at-national-institute-of-biomedical-genomics-india</guid>
  <pubDate>Wed, 26 Jul 2017 03:49:52 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at NATIONAL INSTITUTE OF BIOMEDICAL GENOMICS,  INDIA]]></title>
  <description><![CDATA[
<p>NATIONAL INSTITUTE OF BIOMEDICAL GENOMICS<br />(An Autonomous Institution of the Government of India) <br />P.O.: N.S.S., Kalyani 741251, West Bengal</p>

<p>Advertisement No. 137/ESTB/NIBMG/17-18 </p>

<p>Position available Project Description: Several positions are available for the project titled: “A unified web-portal for analysis, integration and visualization of multi-omics data”. The goal of this project is to develop a user-accessible resource for integrated analysis and visualization of multi-OMICs data sets (including gene expression, genotype, methylation, microRNA, etc.). Data sets generated on various platforms shall be maintained in a stable database, accessed through standard querying mechanisms, and the results shall be displayed via user-friendly interface. The analysis engine shall run on open-source software (such as R/Bioconductor) developed in-house. All positions are contractual. </p>

<p>Appointment will be initially given for a period of one year which is extendable depending upon performance, availability of funds and requirements of the institute. </p>

<p>Project Code: 20275 Position: (No. of positions available) </p>

<p>Research Associate (3)</p>

<p>Position 1: Ph.D. or equivalent in statistics, computer science, mathematics, bioinformatics, or related subject. <br />Position 1: Those with experience in database management shall be preferred. Experience with UNIX or GNU/Linux operating system. <br />Position 1: Creation and maintenance of a database for population- and diseaseassociated variation resource. Development of programmatic interface for querying the database, filtering of the results and identification of genes of interest. </p>

<p>Rs. 36000/- + 10% HRA </p>

<p>Please apply online via web link http://apply.nibmg.ac.in/ (no other form of application will be accepted). The last date of application is 14-08-2017. All letters to attend screening test and /or interview will be sent only to the short-listed candidates by Email only. No correspondence will be made with applicants who are not shortlisted /not called for screening test and /or interview. No TA/DA will be paid for attending the screening test and /or interview.<br />Detail information at http://www.nibmg.ac.in/academic/Advt_20275.pdf</p>

<p>More Info: http://www.nibmg.ac.in/?q=Project%20Linked%20Personnel</p>
]]></description>
</item>
<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/bookmarks/view/34922/camsa-a-tool-for-comparative-analysis-and-merging-of-scaffold-assemblies</guid>
	<pubDate>Thu, 28 Dec 2017 09:10:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34922/camsa-a-tool-for-comparative-analysis-and-merging-of-scaffold-assemblies</link>
	<title><![CDATA[CAMSA :: a tool for Comparative Analysis and Merging of Scaffold Assemblies]]></title>
	<description><![CDATA[<p>CAMSA &ndash; is a tool for&nbsp;<span>C</span>omparative&nbsp;<span>A</span>nalysis and&nbsp;<span>M</span>erging of&nbsp;<span>S</span>caffold&nbsp;<span>A</span>ssemblies, distributed both as a standalone software package and as Python library under the MIT license.</p>
<p>Main features:</p>
<ol>
<li>works with any number of scaffold assemblies in de-novo non-progressive fashion</li>
<li>allows to simultaneously work with scaffold assemblies obtained from any&nbsp;<em>in silico</em>&nbsp;and&nbsp;<em>in vitro</em>&nbsp;techniques, supporting multiple existing formats via built-in converters</li>
<li>creates an extensive report with several comparative quality metrics (both on assembly level and on the level of individual assembly points)</li>
<li>constructs a merged combined scaffold assembly</li>
<li>provides an interactive framework for a visual comparative analysis of the given assemblies</li>
</ol><p>Address of the bookmark: <a href="https://cblab.org/camsa/" rel="nofollow">https://cblab.org/camsa/</a></p>]]></description>
	<dc:creator>Rahul Nayak</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/38378/gwaspro-a-high-performance-genome-wide-association-analysis-server</guid>
	<pubDate>Fri, 07 Dec 2018 08:04:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38378/gwaspro-a-high-performance-genome-wide-association-analysis-server</link>
	<title><![CDATA[GWASpro: A High-Performance Genome-Wide Association Analysis Server]]></title>
	<description><![CDATA[<p>GWASpro supports building complex design matrices, by which complex experimental designs that may include replications, treatments, locations and times, can be accounted for in the linear mixed model (LMM). GWASpro is optimized to handle GWAS data that may consist of up to 10 million markers and 10,000 samples from replicable lines or hybrids. GWASpro provides an interface that significantly reduces the learning curve for new GWAS investigators.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://bioinfo.noble.org/GWASPRO/" rel="nofollow">https://bioinfo.noble.org/GWASPRO/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44539/bactopia-a-flexible-pipeline-for-complete-analysis-of-bacterial-genomes</guid>
	<pubDate>Wed, 15 May 2024 14:36:12 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44539/bactopia-a-flexible-pipeline-for-complete-analysis-of-bacterial-genomes</link>
	<title><![CDATA[Bactopia: a Flexible Pipeline for Complete Analysis of Bacterial Genomes]]></title>
	<description><![CDATA[<p dir="auto">Bactopia is a flexible pipeline for complete analysis of bacterial genomes. The goal of Bactopia is to process your data with a broad set of tools, so that you can get to the fun part of analyses quicker!</p>
<p dir="auto">Bactopia can be split into two main parts:&nbsp;<a href="https://bactopia.github.io/latest/beginners-guide/">Bactopia Analysis Pipeline</a>, and&nbsp;<a href="https://bactopia.github.io/latest/bactopia-tools/">Bactopia Tools</a>.</p>
<p dir="auto">Bactopia Analysis Pipeline is the main&nbsp;<em>per-isolate</em>&nbsp;workflow in Bactopia. Built with&nbsp;<a href="https://www.nextflow.io/">Nextflow</a>, input FASTQs (local or available from SRA/ENA) are put through numerous analyses including: quality control, assembly, annotation, minmer sketch queries, sequence typing, and more.</p>
<p dir="auto"><a href="https://github.com/bactopia/bactopia/blob/master/data/bactopia-workflow.png" target="_blank"><img src="https://github.com/bactopia/bactopia/raw/master/data/bactopia-workflow.png" alt="Bactopia Overview" style="border: 0px;"></a></p>
<p dir="auto">Bactopia Tools are a set a independent workflows fo</p><p>Address of the bookmark: <a href="https://github.com/bactopia/bactopia" rel="nofollow">https://github.com/bactopia/bactopia</a></p>]]></description>
	<dc:creator>Abhi</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/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>

</channel>
</rss>