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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/41493?offset=650</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42985/janggu-deep-learning-for-genomics</guid>
	<pubDate>Tue, 23 Mar 2021 05:14:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42985/janggu-deep-learning-for-genomics</link>
	<title><![CDATA[Janggu - Deep learning for Genomics]]></title>
	<description><![CDATA[<p><span>Janggu is a python package that facilitates deep learning in the context of genomics. The package is freely available under a GPL-3.0 license.</span></p>
<p><span>Detail tutorial at&nbsp;https://janggu.readthedocs.io/en/latest/</span></p>
<p><span>USE cases</span></p>
<p><span>https://github.com/wkopp/janggu_usecases</span></p><p>Address of the bookmark: <a href="https://github.com/BIMSBbioinfo/janggu" rel="nofollow">https://github.com/BIMSBbioinfo/janggu</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/22403/ryan-e-mills-lab</guid>
  <pubDate>Tue, 26 May 2015 09:29:24 -0500</pubDate>
  <link></link>
  <title><![CDATA[Ryan E. Mills Lab]]></title>
  <description><![CDATA[
<p>Our research group is primarily focused on the analysis of whole genome sequence data to identify genetic variation (primarily structural variation) and examine their potential functional impact in disease phenotypes. We are particularly interested in analyzing complex regions of the genome that are not easily resolved through modern sequencing approaches and which may exhibit interesting mechanistic origins.</p>

<p>We are also interested in the large-scale integration of genomic, expression, methylation and proteomic data sets, as well as the application of whole genome sequence analysis in clinical diagnostics. </p>

<p>More at http://millslab.ccmb.med.umich.edu/index.html</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/23149/raphael-lab</guid>
  <pubDate>Sat, 04 Jul 2015 19:05:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[Raphael Lab]]></title>
  <description><![CDATA[
<p>Raphael Lab research is focused on Bioinformatics and Computational Biology.</p>

<p>Current research interests include next-generation DNA sequencing, structural variation, genome rearrangements in cancer and evolution, and network analysis of somatic mutations in cancer. Earlier research included topics in comparative genomics, multiple sequence alignment, and motif finding.</p>

<p>More athttp://compbio.cs.brown.edu/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25770/fellowship-doctoral-research-in-biomedical-genomics-including-statistical-genomics</guid>
  <pubDate>Sun, 20 Dec 2015 06:03:43 -0600</pubDate>
  <link></link>
  <title><![CDATA[Fellowship (Doctoral Research In Biomedical Genomics, Including Statistical Genomics)]]></title>
  <description><![CDATA[
<p>Fellowship (Doctoral Research In Biomedical Genomics, Including Statistical Genomics)<br />Eligibility : MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech, Mathematics / Applied Mathematics, Stati, Zoology)<br />Location : Kolkata<br />Last Date : 31 Dec 2015<br />Hiring Process : Written-test</p>

<p>NO: 340/ESTB/ADMN/NIBMG/2015-16 <br />Doctoral Research In Biomedical Genomics, Including Statistical Genomics conduct National Institute of Biomedical Genomics (NIBMG)<br />Information For Students Interested To Pursue Doctoral Research In Biomedical Genomics, Including Statistical Genomics, At The National Institute Of Biomedical Genomics (Nibmg), Kalyan<br />Eligibility conditions for specific areas of research are :<br />Statistical Genomics : An applicant who wishes to pursue research in Statistical Genomics should hold a Master's degree (First class or equivalent) in a relevant discipline (Statistics, Mathematics, Bioinformatics, or a related discipline)<br />Biomedical Genomics : An applicant who wishes to pursue research in any area of biomedical genomics, other than statistical genomics, should hold a Master's degree (First class or equivalent) in a relevant discipline (Biochemistry, Biotechnology, Molecular Biology, Genetics, Zoology, Physiology, or a related discipline)<br />Fellowship : An applicant should have passed the NET conducted by CSIR/UGC/ICMR/DBT within the past ONE year AND should have been awarded a valid Junior Research Fellowship from CSIR, UGC, ICMR, DBT (Category-I only), DST (INSPIRE), NBHM. Preference will be given to candidates with demonstrable research training in the form of summer training or short-term courses in established research laboratories in preparation for a research career in biomedical sciences<br />How to apply<br />Online application will be accepted until 5 PM of December 31, 2015. A formal interview of the short-listed candidates will be held on January 12, 2016</p>

<p>More at http://www.nibmg.ac.in/?q=Career%20Opportunities</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30102/prism</guid>
	<pubDate>Sat, 10 Dec 2016 15:19:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30102/prism</link>
	<title><![CDATA[PRISM]]></title>
	<description><![CDATA[<p><span>PRISM is a software for split read (reads which span across a structrual variant -- SV ) mapping and SV calling from the mapping result. PRISM is able to detect small insertions and abitrary size deletions, inversions and tandom duplications with the direction of discordant read pairs. PRISM_CTX is a tool for detecting inter-chromosome trans-location events.&nbsp;</span><br><br><span>PRISM and PRISM_CTX were originally designed and written by&nbsp;</span><a href="http://www.cs.toronto.edu/~brudno">Michael Brudno</a><span>&nbsp;and Yue Jiang, The original PRISM publication can be found&nbsp;</span><a href="http://bioinformatics.oxfordjournals.org/content/early/2012/07/31/bioinformatics.bts484.abstract">here</a><span>.&nbsp;</span><br><br><span>The authors may be contacted via e-mail at:&nbsp;</span><em>prism at cs.toronto.edu</em><span>.&nbsp;</span><br><br><span>Additional information is available in the&nbsp;</span><a href="http://compbio.cs.toronto.edu/prism/PRISM_README">PRISM README</a><span>&nbsp;file and&nbsp;</span><a href="http://compbio.cs.toronto.edu/prism/PRISM_CTX_README">PRISM_CTX README</a><span>&nbsp;file.&nbsp;</span></p>
<p>http://compbio.cs.toronto.edu/prism/</p><p>Address of the bookmark: <a href="http://compbio.cs.toronto.edu/prism/" rel="nofollow">http://compbio.cs.toronto.edu/prism/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34515/metasim-a-sequencing-simulator-for-genomics-and-metagenomics</guid>
	<pubDate>Mon, 04 Dec 2017 07:18:20 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34515/metasim-a-sequencing-simulator-for-genomics-and-metagenomics</link>
	<title><![CDATA[MetaSim A Sequencing Simulator for Genomics and Metagenomics.]]></title>
	<description><![CDATA[<p><span>Our software can be used to&nbsp;</span><strong>generate collections of synthetic reads</strong><span>&nbsp;that reflect the diverse taxonomical composition of typical metagenome data sets. Based on a database of given genomes, the program allows the user to&nbsp;</span><strong>design a metagenome</strong><span>&nbsp;by specifying the number of genomes present at different levels of the NCBI taxonomy, and then to collect reads from the metagenome using a&nbsp;</span><strong>simulation of a number of different sequencing technologies</strong><span>. A population sampler optionally produces evolved sequences based on source genomes and a given evolutionary tree.&nbsp;</span></p><p>Address of the bookmark: <a href="http://ab.inf.uni-tuebingen.de/software/metasim/" rel="nofollow">http://ab.inf.uni-tuebingen.de/software/metasim/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/36647/bioinformatics-jobs-at-nibmg</guid>
  <pubDate>Wed, 16 May 2018 02:57:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics jobs at NIBMG]]></title>
  <description><![CDATA[
<p>NIBMG are looking for bright and motivated people in our big projects on cutting edge biomedical genomics research</p>

<p>http://www.nibmg.ac.in/academic/SyMeC-ICGC/SyMeC%20&amp;%20ICGC_May%202018.pdf</p>

<p>http://www.nibmg.ac.in/academic/plp/15_05_2018/AdvertisementMay2018.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/42137/plant-computational-genomics-lab-%E2%80%93-jill-wegrzyn</guid>
  <pubDate>Thu, 20 Aug 2020 19:49:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[PLANT COMPUTATIONAL GENOMICS LAB – JILL WEGRZYN]]></title>
  <description><![CDATA[
<p>Our research focuses on the computational analysis of genomic and transcriptomic sequences from non-model plant species. We do this by developing approaches to examine gene finding, gene expression, transcriptome assembly, and conserved element identification, through machine learning and computational statistics. We use these novel methods to address questions related to genome biology and population genomics.</p>

<p>We also develop web-based applications that integrate data across domains to facilitate the forest geneticist or ecologist’s ability to analyze, share, and visualize their data. Such integration requires the implementation of semantic technologies and ontologies to connect genotype, phenotype, and environmental data.</p>

<p>http://plantcompgenomics.com/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43272/bioinformatics-head-bioinformatics-manager-iii-cancer-genomics-research-laboratory-at-frederick-national-laboratory</guid>
  <pubDate>Wed, 18 Aug 2021 00:19:48 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Head (Bioinformatics Manager III), Cancer Genomics Research Laboratory at  Frederick National Laboratory]]></title>
  <description><![CDATA[
<p>Frederick National Laboratory seeking an enthusiastic, creative, and seasoned bioinformatics professional to join our leadership team and direct the exceptional Bioinformatics Group at the Cancer Genomics Research Laboratory (CGR).  CGR has a diverse team of bioinformatics and computational scientists that support all areas of bioinformatics and data analysis (infrastructure, data QC, pipeline development and maintenance, data curation and sharing, methodology development, statistical analyses, machine learning approaches, and scientific interpretation).</p>

<p>More at https://leidosbiomed.csod.com/ats/careersite/jobdetails.aspx?site=4&amp;c=leidosbiomed&amp;id=2040</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44412/scientist-positions-csir-institute-of-genomics-integrative-biology-igib</guid>
  <pubDate>Sat, 02 Dec 2023 00:51:08 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist positions @ CSIR-Institute of Genomics &amp; Integrative Biology (IGIB)]]></title>
  <description><![CDATA[
<p>CSIR-Institute of Genomics &amp; Integrative Biology (IGIB) is a premier Institute of Council of Scientific<br />and Industrial Research (CSIR), engaged in research of national importance in the areas of genomics,<br />molecular medicine, bioinformatics and proteomics. For more details, kindly refer to website<br />https://igib.res.in.<br />The Institute is looking for dynamic and creative Indian researchers having excellent academic record<br />and interested in Product Development / Technology Innovation / Applied Technology / Translational<br />Research in the above broad areas. The eligible candidates may apply for the following positions<br />through the CSIR-IGIB website.</p>

<p>More at https://www.igib.res.in/bdmg/ScientistRecruitmentAdvt2023.pdf</p>
]]></description>
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