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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28855?offset=1580</link>
	<atom:link href="https://bioinformaticsonline.com/related/28855?offset=1580" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38067/metaplotr-a-perlr-pipeline-for-plotting-metagenes-of-nucleotide-modifications-and-other-transcriptomic-sites</guid>
	<pubDate>Mon, 05 Nov 2018 08:12:45 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38067/metaplotr-a-perlr-pipeline-for-plotting-metagenes-of-nucleotide-modifications-and-other-transcriptomic-sites</link>
	<title><![CDATA[MetaPlotR: a Perl/R pipeline for plotting metagenes of nucleotide modifications and other transcriptomic sites]]></title>
	<description><![CDATA[<p><span>An increasing number of studies are mapping protein binding and nucleotide modifications sites throughout the transcriptome. Often, these sites cluster in certain regions of the transcript, giving clues to their function. Hence, it is informative to summarize where in the transcript these sites occur. A metagene is a simple and effective tool for visualizing the distribution of sites along a simplified transcript model. In this work, we introduce MetaPlotR, a Perl/R pipeline for creating metagene plots.</span></p><p>Address of the bookmark: <a href="https://github.com/olarerin/metaPlotR" rel="nofollow">https://github.com/olarerin/metaPlotR</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21242/summer-intern-research-bioinformatics</guid>
  <pubDate>Mon, 16 Feb 2015 12:26:32 -0600</pubDate>
  <link></link>
  <title><![CDATA[Summer Intern - Research Bioinformatics]]></title>
  <description><![CDATA[
<p>Be proficient in LINUX, know perl or python, understand biology and Next Generation Sequencing.<br />The intern will port Agile Assay Design pipelines into Galaxy.<br />The intern will also learn to develope his/her own bioinformatics pipelines for PCR or NGS data analysis.</p>

<p>Who you are<br />You’re someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.</p>

<p>Qualifications:<br />Major: Bioinformatcis or biology major who is interested and wants to learn Biocomputing, At least 2 years of college.<br />Basic knowledge of LINUX and programming, e.g., perl, python, XML.</p>

<p>More at http://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-00437679&amp;locale=en&amp;title=Summer%20Intern%20-%20Research%20Bioinformatics</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38541/geneoverlap-an-r-package-to-test-and-visualize-gene-overlaps</guid>
	<pubDate>Thu, 27 Dec 2018 19:45:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38541/geneoverlap-an-r-package-to-test-and-visualize-gene-overlaps</link>
	<title><![CDATA[GeneOverlap: An R package to test and visualize gene overlaps]]></title>
	<description><![CDATA[<p>Overlapping gene lists can reveal biological meanings and may lead to novel hypotheses. For example, histone modification is an important cellular mechanism that can pack and re-pack chromatin. By making the chromatin structure more dense or loose, the gene expression can be turned on or off. Tri-methylation on lysine 4 of histone H3 (H3K4me3) is associated with gene activation and its genome-wide enrichment can be mapped by using ChIP-seq experiments. Because of its activating role, if we overlap the genes that are bound by H3K4me3 with the genes that are highly expressed, we should expect a positive association. Similary, we can perform such kind of overlapping between the gene lists of different histone modifications with that of various expression groups and establish each histone modification&rsquo;s role in gene regulation.</p><p>Address of the bookmark: <a href="https://bioconductor.org/packages/release/bioc/vignettes/GeneOverlap/inst/doc/GeneOverlap.pdf" rel="nofollow">https://bioconductor.org/packages/release/bioc/vignettes/GeneOverlap/inst/doc/GeneOverlap.pdf</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21436/jrf-bioinformatics-iisr-kozhikode</guid>
  <pubDate>Tue, 24 Feb 2015 08:44:17 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics @ IISR, Kozhikode]]></title>
  <description><![CDATA[
<p>JRF Bioinformatics Jobs recruitment in Indian Institute of Spices Research on temporary basis</p>

<p>Name of the Scheme : Distributed Information Sub Centre – DISC</p>

<p>Qualifications :  M.Sc/ B Tech in Bioinformatics with NET/GATE or M Tech in Bioinformatics</p>

<p>Number of posts : One</p>

<p>Emoluments : Rs. 25,000/-</p>

<p>Upper age limit : 35 years for Men &amp; 40 years for Women as on date of Interview<br />How to apply</p>

<p>Date of Interview : 12-03-2015 at 10.00 AM. All relevant certificates (in original) and bio data, No objection certificate in case he/she is employed elsewhere and experience certificate in original (if any) need to be produced at the time of interview.</p>

<p>More at http://spices.res.in/index.php?option=com_content&amp;view=article&amp;id=263</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/40085/github-replacement</guid>
	<pubDate>Thu, 26 Sep 2019 03:42:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/40085/github-replacement</link>
	<title><![CDATA[Github replacement !]]></title>
	<description><![CDATA[<p><span>For a number of reasons researchers have been trying out&nbsp;</span><a href="https://www.noamross.net/2019/09/24/drake-docker-and-gitlab-ci/gitlab.com" target="_blank">GitLab</a><span>&nbsp;as a replacement&nbsp;</span><span>for for both GitHub and various continuous integration systems, and have&nbsp;</span><span>been exploring configurations useful for model-fitting pipelines. Researchers turned&nbsp;</span><span>one of these into an&nbsp;</span><a href="https://gitlab.com/ecohealthalliance/drake-gitlab-docker-example" target="_blank">example repository</a><span>&nbsp;that shows how to use GitLab together&nbsp;</span><span>with the&nbsp;</span><a href="https://www.rocker-project.org/" target="_blank">Rocker</a><span>&nbsp;Docker images and the&nbsp;</span><a href="https://docs.ropensci.org/drake/" target="_blank"><strong>drake</strong></a><span>&nbsp;build system to reproducibly run a project pipeline, using the cacheing functionality across all three tools to&nbsp;</span><span>make things reasonably speedy and enable both local and remote builds. </span></p><p><span>Check it out&nbsp;</span><span>at&nbsp;</span><a href="https://gitlab.com/ecohealthalliance/drake-gitlab-docker-example" target="_blank">https://gitlab.com/ecohealthalliance/drake-gitlab-docker-example</a><span>.</span></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21830/research-associate-bioinformatics-job-position-in-indian-agricultural-statistics-research-institute-iasri</guid>
  <pubDate>Tue, 31 Mar 2015 20:45:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics job position in Indian Agricultural Statistics Research Institute (IASRI)]]></title>
  <description><![CDATA[
<p>Research Associate Bioinformatics job position in Indian Agricultural Statistics Research Institute (IASRI)</p>

<p>Qualification : Ph.D. in Bioinformatics/ Agricultural Statistics/ Statistics/ Computer Science/ Computer Application/ Life Science/ Biotechnology/ Agricultural Science or equivalent. Desirable: Knowledge of Statistical and Computational Genomics/ Proteomics/ Bioinformatics OR Post-Graduation in Bioinformatics/ Agricultural Statistics/ Statistics/ Computer Science/ Computer Application/ Life Science/ Biotechnology/ Agricultural Science or equivalent with 1st Division or 60% marks or equivalent with at least two years of research experience. Desirable:Expertise on use of various software/ tool.</p>

<p>No.of Post: 2</p>

<p>Emoluments for RA: Consolidated Rs. 24000/- per month + 30% HRA for Ph.D holders and consolidated Rs. 23000/- per month + 30% HRA for Master Degree.</p>

<p>Age Limit : Age should not be more than 40 years for the post of Research associate (5 years relaxation for SC/ST/ women candidates) and 3 years for OBC candidates as on date of interview.<br />How to apply</p>

<p>Interested candidates are invited to appear for Walk-In interview at Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi -110012, along with filled in application form , all the original certificates from matriculation onwards, Ph.D. or M.Sc. certificate (as the case may be) must be produced at the time of interview in either original or provisional, Bio-Data, attested copies of all experience certificates, testimonials etc., one passport size photograph and one set of the self-attested photocopies of all the required certificates from matriculation onwards and an attested copy of recent passport size photograph pasted onto the application form. Walk-in interview will be held on 16th April, 2015 at 10:30 a.m.</p>

<p>Click Here for Job Details &amp; Application Form http://www.iasri.res.in/employment/employment.htm</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/33629/list-of-universities-offering-bachelor-master-or-phd-bioinformatics-degree-in-malaysia</guid>
	<pubDate>Thu, 22 Jun 2017 01:34:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/33629/list-of-universities-offering-bachelor-master-or-phd-bioinformatics-degree-in-malaysia</link>
	<title><![CDATA[List of universities offering Bachelor,  Master or PhD bioinformatics degree in Malaysia]]></title>
	<description><![CDATA[<p>Bioinformatics is a newly emerging interdisciplinary research area, which may be defined as the ―interface between biological and computational sciences. Most of the Bioinformatics work that is done can be described as analyzing biological data, although a growing number of projects deal with the organization of biological information. The global Bioinformatics industry has grown at a double-digit growth rate in the past and is expected to follow the same pattern in the next four years. US remains the largest market in the world, but Asia-Pacific countries, particularly India and China, are witnessing the fastest growth and are anticipated to emerge as the dominating forces in future. The Comparison of Bioinformatics Industry between Malaysia, India and other countries&nbsp;are discussed in this&nbsp;<span>http://ijbssnet.com/journals/Vol.%202_No._10;_June_2011/11.pdf paper.</span></p><p>Bioinformatics is full of opportunities. The sector is poised to open new avenues for the other related sectors also. But the biggest opportunity area in the Bioinformatics market will be in the drug discovery sector. Reduction of both the cost and time taken to discover a new drug due to fast development in the Bioinformatics tools and software zone is also making drug discovery an attractive field to venture in. Malaysian bioinformatics growth and future are discuss in this https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2723929/ paper.&nbsp;Keeping all such inportance in mind, following universities in Malaysia offering bioinformatics cources:</p><p><strong>3 program(s) at AIMST University<strong>, Malaysia</strong></strong></p><p>Master of Science in Biotechnology (MSc) - Bioinformatics by Research</p><p>Master of Science (M.Sc) in Medical Microbiology (Bioinformatics) by Research</p><p>Doctor of Philosophy in Biotechnology (PhD) - Bioinformatics by Research</p><p>&nbsp;</p><p><strong>1 program(s) at INTI International University and Colleges<strong>, Malaysia</strong></strong></p><p>American Degree Transfer Program (Biosciences) in Bioinformatics</p><p>&nbsp;</p><p><strong>3 program(s) at Management and Science University (MSU)<strong>, Malaysia</strong></strong></p><p>Master in Bioinformatics (By Research)</p><p>PhD in Bioinformatics</p><p>Bachelor in Bioinformatics (Hons)</p><p>&nbsp;</p><p><strong>1 program(s) at Multimedia University (MMU)<strong>, Malaysia</strong></strong></p><p>Bachelor of Science (Honours) Bioinformatics</p><p>&nbsp;</p><p><strong>1 program(s) at Universiti Industri Selangor (UNISEL) Bestari Jaya Campus<strong>, Malaysia</strong></strong></p><p>Bachelor of Bioinformatics (Hons)</p><p>&nbsp;</p><p><strong>2 program(s) at Universiti Malaysia Sabah (UMS)<strong>, Malaysia</strong></strong></p><p>PhD - Doctor of Philosophy in Bioinformatics (By Research)</p><p>MSc - Master of Science in Bioinformatics (By Research)</p><p>&nbsp;</p><p><strong>6 program(s) at Universiti Putra Malaysia (UPM)<strong>, Malaysia</strong></strong></p><p>MSc - Master of Science in Bioinformatics by Research</p><p>Master of Science in Bioinformatics and System Biology by Research</p><p>Master of Science (M.Sc) in Bioinformatics and Systems Biology (With Thesis)</p><p>PhD - Doctor of Philosophy in Bioinformatics by Research</p><p>PhD - Doctor of Philosophy in Bioinformatics and Systems Biology (With Thesis)</p><p>PhD - Doctor of Philosophy in Bioinformatics and System Biology by Research</p><p>&nbsp;</p><p><strong>1 program(s) at Universiti Selangor (UNISEL)<strong>, Malaysia</strong></strong></p><p>Bachelor of Bioinformatics (Hons)</p><p>&nbsp;</p><p><strong>3 program(s) at Universiti Teknologi Malaysia (UTM)<strong>, Malaysia</strong></strong></p><p>M.Sc - Master of Science (Bioscience) in Bioinformatics Research Group (BIRG) By Research</p><p>PhD - Doctor of Philosophy (Bioscience) in Bioinformatics Research Group (BIRG) By Research</p><p>Bachelor of Computer Science (BioInformatics)</p><p>&nbsp;</p><p><strong>4 program(s) at University of Malaya (UM)<strong>, Malaysia</strong></strong></p><p>MSc - Master of Science in Bioinformatics by Research</p><p>Master in Bioinformatics by Coursework</p><p>PhD - Doctor of Philosophy in Bioinformatics by Research</p><p>Bachelor of Science (BSc) in Bioinformatics</p><p>&nbsp;</p><p><strong>3 program(s) at Perdana University<strong>, Malaysia</strong></strong></p><p>Master in Bioinformatics (By Research)</p><p>PhD in Bioinformatics</p><p>Bachelor in Bioinformatics (Hons)</p><p>&nbsp;</p><p><strong>3 program(s) at&nbsp;Monash University, Malaysia</strong></p><p>Master in Bioinformatics (By Research)</p><p>PhD in Bioinformatics</p><p>Bachelor in Bioinformatics (Hons)</p><p>&nbsp;</p><p><span>The real bioinformatics scope lies if there are research labs which work in this field. One has to take account of that. If so then try to get information of those labs and visit them to get a hang of the work they pursue. For detail Bioinformatics in Malaysia: Hope, Initiative, Effort, Reality, and Challenges are discussed in&nbsp;<span>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2723929/ paper.</span></span></p>]]></description>
	<dc:creator>sahabuddin</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/41496/new-machine-learning-packages-in-r</guid>
	<pubDate>Fri, 27 Mar 2020 12:11:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/41496/new-machine-learning-packages-in-r</link>
	<title><![CDATA[New Machine Learning Packages in R]]></title>
	<description><![CDATA[<h3 id="machine-learning">Machine Learning</h3><p><a href="https://cran.r-project.org/package=autokeras">autokeras</a>&nbsp;v1.0.1: Implements an interface to&nbsp;<a href="https://autokeras.com/">AutoKeras</a>, an open source software library for automated machine learning. See&nbsp;<a href="https://cran.r-project.org/web/packages/autokeras/readme/README.html">README</a>&nbsp;for an example.</p><p><a href="https://cran.r-project.org/package=MTPS">MTPS</a>&nbsp;v0.1.9: Implements functions to predict simultaneous multiple outcomes based on revised stacking algorithms as described in&nbsp;<a href="denied:doi:10.1093/bioinformatics/btz531">Xing et al. (2019)</a>. See the&nbsp;<a href="https://cran.r-project.org/web/packages/MTPS/vignettes/Guide.html">vignette</a>&nbsp;to get started.</p><p><a href="https://cran.r-project.org/package=quanteda.textmodels">quanteda.textmodels</a>&nbsp;v0.9.1: Implements methods for scaling models and classifiers based on sparse matrix objects representing textual data. It includes implementations of the&nbsp;<a href="denied:doi:10.1017/S0003055403000698">Laver et al. (2003)</a>&nbsp;wordscores model, the&nbsp;<a href="denied:arxiv:1710.08963">Perry &amp; Benoit&rsquo;s (2017)</a>&nbsp;class affinity scaling model, and the&nbsp;<a href="denied:doi:10.1111/j.1540-5907.2008.00338.x">Slapin &amp; Proksch (2008)</a>&nbsp;wordfish model. See the&nbsp;<a href="https://cran.r-project.org/web/packages/quanteda.textmodels/vignettes/textmodel_performance.html">vignette</a>&nbsp;to get started.</p><p><a href="https://cran.r-project.org/package=SeqDetect">SeqDetect</a>&nbsp;v1.0.7: Implements the automaton model found in&nbsp;<a href="https://ieeexplore.ieee.org/document/8910574">Krleža, Vrdoljak &amp; Brčić (2019)</a>&nbsp;to detect and process sequences. See the&nbsp;<a href="https://cran.r-project.org/web/packages/SeqDetect/vignettes/SequentialDetector.pdf">vignette</a>&nbsp;for examples and theory.</p><p><a href="https://cran.r-project.org/package=studyStrap">studyStrap</a>&nbsp;v1.0.0: Implements multi-Study Learning algorithms such as Merging, Study-Specific Ensembling (Trained-on-Observed-Studies Ensemble), the Study Strap, and the Covariate-Matched Study Strap. and offers over 20 similarity measures. See&nbsp;<a href="denied:doi:10.1101/856385">Kishida, et al. (2019)</a>&nbsp;for background and the&nbsp;<a href="https://cran.r-project.org/web/packages/studyStrap/vignettes/vignette.html">vignette</a>&nbsp;for how to use the package.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21685/uiar-short-term-trainingfinal-year-dissertation-project-in-life-sciencesbioinformaticsbiotech</guid>
  <pubDate>Mon, 16 Mar 2015 23:56:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[UIAR Short-Term Training/Final Year Dissertation Project in Life Sciences/Bioinformatics/Biotech]]></title>
  <description><![CDATA[
<p>Short-term training/Final year dissertation project</p>

<p>Candidates desirous of doing a short-term training / final year dissertation project for MSc (Life Sciences/Bioinformatics/Biotechnology or any science discipline) at UIAR Biophysics and Bioinformatics department may please drop an email atanju@iiar.res.in along with their resume.</p>

<p>Selected candidates will be further intimated. There will be a fees charged for doing the project at UIAR. The projects will be experimental or computational or involve both.</p>

<p>The training scope will be in the following areas but not limited to:</p>

<p>Bioinformatics analysis, Docking and Virtual screening, Molecular Dynamics simulation, Cloning, expression and purification of proteins, Biophysical and Biochemical characterisation of proteins, Crystallization and Structural Studies.</p>

<p>Advertisement: www.iiar.res.in/?q=node/450</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43254/quasr-quantification-and-annotation-of-short-reads-in-r</guid>
	<pubDate>Fri, 13 Aug 2021 07:44:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43254/quasr-quantification-and-annotation-of-short-reads-in-r</link>
	<title><![CDATA[QuasR: Quantification and annotation of short reads in R]]></title>
	<description><![CDATA[<p>The <em><a href="https://bioconductor.org/packages/3.14/QuasR">QuasR</a></em> package (short for <em>Qu</em>antify and <em>a</em>nnotate <em>s</em>hort reads in <em>R</em>) integrates the functionality of several <strong>R</strong> packages (such as <em><a href="https://bioconductor.org/packages/3.14/IRanges">IRanges</a></em> <span>(Lawrence et al. 2013)</span> and <em><a href="https://bioconductor.org/packages/3.14/Rsamtools">Rsamtools</a></em>) and external software (e.g.&nbsp;<code>bowtie</code>, through the <em><a href="https://bioconductor.org/packages/3.14/Rbowtie">Rbowtie</a></em> package, and <code>HISAT2</code>, through the <em><a href="https://bioconductor.org/packages/3.14/Rhisat2">Rhisat2</a></em> package). The package aims to cover the whole analysis workflow of typical high throughput sequencing experiments, starting from the raw sequence reads, over pre-processing and alignment, up to quantification. A single <strong>R</strong> script can contain all steps of a complete analysis, making it simple to document, reproduce or share the workflow containing all relevant details.</p><p>Address of the bookmark: <a href="https://www.bioconductor.org/packages/devel/bioc/vignettes/QuasR/inst/doc/QuasR.html" rel="nofollow">https://www.bioconductor.org/packages/devel/bioc/vignettes/QuasR/inst/doc/QuasR.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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