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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44472?offset=1280</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37746/funannotate-eukaryotic-genome-annotation-pipeline</guid>
	<pubDate>Wed, 19 Sep 2018 07:47:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37746/funannotate-eukaryotic-genome-annotation-pipeline</link>
	<title><![CDATA[funannotate: Eukaryotic Genome Annotation Pipeline]]></title>
	<description><![CDATA[<p><span>Funannotate is a genome prediction, annotation, and comparison software package. It was originally written to annotate fungal genomes (small eukaryotes ~ 30 Mb genomes), but has evolved over time to accomodate larger genomes. The impetus for this software package was to be able to accurately and easily annotate a genome for submission to NCBI GenBank. Existing tools (such as Maker) require significant manually editing to comply with GenBank submission rules, thus funannotate is aimed at simplifying the genome submission process.</span></p><p>Address of the bookmark: <a href="https://github.com/nextgenusfs/funannotate" rel="nofollow">https://github.com/nextgenusfs/funannotate</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7217/contract-faculty-bioinformatics-at-maulana-azad-national-institute-of-technology</guid>
  <pubDate>Thu, 12 Dec 2013 20:46:52 -0600</pubDate>
  <link></link>
  <title><![CDATA[Contract Faculty-Bioinformatics at Maulana Azad National Institute of Technology]]></title>
  <description><![CDATA[
<p>Contract Faculty-Bioinformatics at Maulana Azad National Institute of Technology</p>

<p>Job Description:F.No.11/10(1)/929 Qualifications: Candidates should have Ph.D. degree. If Ph.D. candidates are not available at least Post Graduate degree with GATE/NET qualification is a must. Walk-in-Interview on 19.12.2013 at 2.30 P.M. to 5.30 P.M .. at Maulana Azad National Institute of Technology: Bhopal For more details,please visit website:http://www.manit.ac.in/manitbhopal/Year2013/Recruitment/Contract_faculty/contract%20faculty%202013-2014.pdf</p>

<p>For more @ http://www.manit.ac.in/manitbhopal/Year2013/Recruitment/Contract_faculty/contract%20faculty%202013-2014.pdf</p>

<p>Web address @ :http://www.manit.ac.in</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43550/basic-structure-of-snakemake-pipeline-run</guid>
	<pubDate>Thu, 14 Oct 2021 07:01:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43550/basic-structure-of-snakemake-pipeline-run</link>
	<title><![CDATA[Basic Structure of Snakemake Pipeline Run !]]></title>
	<description><![CDATA[<div>/user/snakemake-demo$ ls</div><div>config.json data envs scripts slurm-240702.out Snakefile</div><ul>
<li>data = mock data for the snakefile to use</li>
<li>Snakefile = name of the snakemake &ldquo;formula&rdquo; file
<ul>
<li>Note: The default file that snakemake looks for in the current working directory is the&nbsp;<code>Snakefile</code>. If you would like to override that you can specify it following the&nbsp;<code>-s</code>
<ul>
<li><code>snakemake -s snakefile.py</code></li>
</ul>
</li>
</ul>
</li>
<li>envs = directory for storing the conda environments that the workflow will use.</li>
<li>scripts = directory for storing python scripts called by the snakemake formula.</li>
<li>config.json = json format file with extra parameters for our snakemake file to use.</li>
<li>cluster.json = json format file with specification for running on the HPC</li>
<li>samples.txt = file we will use later relating to the config.json file.</li>
</ul><p><span>Run the snakemake file as a dry run (the example workflow shown above).</span></p><ul>
<li>This will build a DAG of the jobs to be run without actually executing them.</li>
<li><code>snakemake --dry-run</code></li>
</ul><p>User can e<span>xecute rules of interest.</span></p><ul>
<li><code>snakemake --dry-run all</code>&nbsp;VS.&nbsp;<code>snakemake --dry-run call</code>&nbsp;VS.&nbsp;<code>snakemake --dry-run bwa</code></li>
</ul><p><span>Run the snakemake file in order to produce an image of the DAG of jobs to be run.</span></p><ul>
<li><code>snakemake --dag | dot -Tsvg &gt; dag.svg</code>&nbsp;OR&nbsp;<code>snakemake --dag | dot -Tsvg &gt; dag.svg</code></li>
</ul><p>Run the snakemake (this time not as a dry run)</p><ol>
<li><code>snakemake --use-conda</code></li>
</ol>]]></description>
	<dc:creator>Abhi</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/5623/yau-group</guid>
  <pubDate>Tue, 15 Oct 2013 13:05:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Yau Group]]></title>
  <description><![CDATA[
<p>Yau Group are a new research group based at the Wellcome Trust Centre for Human Genetics and the Department of Statistics at the University of Oxford.</p>

<p>Yau Group develops statistical and computational methods for the analysis of genomic datasets with a particular interest in cancer sequencing applications and the use of Bayesian Statistics.</p>

<p>Yau Group are currently have projects in somatic mutation analysis of heterogeneous cancers, data fusion or integration techniques and single cell genomics.</p>

<p>More @ http://www.well.ox.ac.uk/~cyau/index.html</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/26290/webinar-on-streamlining-large-scale-analysis-using-the-strand-ngs-pipeline-manager-on-24-feb-2016</guid>
	<pubDate>Fri, 05 Feb 2016 06:43:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/26290/webinar-on-streamlining-large-scale-analysis-using-the-strand-ngs-pipeline-manager-on-24-feb-2016</link>
	<title><![CDATA[Webinar on Streamlining large scale analysis using the Strand NGS Pipeline Manager on 24 Feb 2016]]></title>
	<description><![CDATA[<p><a href="http://www.strand-ngs.com/webinar_registration" title="webinar"><strong>Live Webinar on Streamlining large scale NGS data analysis using the Strand NGS Pipeline Manager on 24 Feb 2016</strong></a></p><p><strong>Abstract:</strong> Strand NGS includes comprehensive workflows for DNA-Seq, RNA-Seq, Small RNA-Seq, ChIP-Seq, MeDIP-Seq, and Methyl-Seq analysis. Each workflow includes a quality assessment and filter section, followed by a workflow-specific analysis section. The pipeline functionality in Strand NGS allows users to execute a sequence of analysis steps with specific parameters - all without any manual intervention. This simplifies the analysis in large scale sequencing projects where every sample needs to be processed identically.</p><p>In this webinar we will discuss the pre-packaged pipelines present in Strand NGS. The packaged pipelines have well-chosen default parameters and are suitable for users analyzing data for the first time in the tool. We will also show how advanced users can customize pipelines and share them with other Strand NGS users. Finally, we will show a brief glimpse of an elaborate pipeline that aligns reads, filters poor-quality matches, computes coverage metrics, identifies variants, checks for sample cross-contamination, and emails quality reports - all from within Strand NGS.</p><p><strong>Speaker:</strong> Dr. Vamsi Veeramachaneni, Vice President - Bioinformatics, Strand Life Sciences</p><p><strong>Details:</strong> Session 1: 2:30 PM IST, Session 2 : 10:30 PM IST<br /><strong>Register here:</strong> http://www.strand-ngs.com/webinar_registration</p><h3>&nbsp;</h3>]]></description>
	<dc:creator>Yeshodari</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7218/associate-professor-centre-for-bioinformatics-at-maharshi-dayanand-university-rohtak</guid>
  <pubDate>Thu, 12 Dec 2013 20:49:59 -0600</pubDate>
  <link></link>
  <title><![CDATA[Associate Professor - Centre for Bioinformatics at Maharshi Dayanand University, Rohtak]]></title>
  <description><![CDATA[
<p>ADVERTISEMENT No. PR-54/2013</p>

<p>No. of Posts and Specialization: 1(UR)</p>

<p>Educational Qualification:</p>

<p>(i) Good academic record with a Ph.D. Degree in the concerned /allied /relevant disciplines.</p>

<p>(ii) The Ph.D. Degree shall be a mandatory qualification for all candidates to be appointed as Associate Professor through direct recruitment.</p>

<p>(iii) A Master‟s Degree with at least 55% marks (or an equivalent grade in a point scale wherever grading system is followed).</p>

<p>(iv) A minimum of eight years of experience of teaching and /or research in an academic /research position equivalent to that of Assistant Professor in a University, College or Accredited Research Institution/Industry excluding the period of Ph.D research with evidence of published work and a minimum of 5 publications as books and /or research papers in refereed journals only/policy papers.</p>

<p>(v) Contribution to educations innovation, design of new curricula and courses and technology-mediated teaching learning process with evidence of having guided doctoral candidates and research students.</p>

<p>(vi) A minimum score as stipulated in the Academic Performance Indicator (API) based performance Based Appraisal System (PBAS), set out in this notification in as mentioned in the advertisement.</p>

<p>Send your application to the A.R (Estt.Teaching), M.D.University, Rohtak on or before December 23, 2013.</p>

<p>For more details: http://www.mdurohtak.ac.in/pdf/Notices_Pdf/new_notice/Teaching%20Vacancy%20%28ADVT.%20No.%20PR-54%20of%202013%29.pdf</p>

<p>Last Apply Date: 23 Dec 2013</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34391/taxoblast-taxoblast-is-a-pipeline-to-identify-contamination-in-genomic-sequence</guid>
	<pubDate>Thu, 23 Nov 2017 08:37:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34391/taxoblast-taxoblast-is-a-pipeline-to-identify-contamination-in-genomic-sequence</link>
	<title><![CDATA[Taxoblast : Taxoblast is a pipeline to identify contamination in genomic sequence]]></title>
	<description><![CDATA[<p><span>Modern genome sequencing strategies are highly sensitive to contamination making the detection of foreign DNA sequences an important part of analysis pipelines. Here we use Taxoblast, a simple pipeline with a graphical user interface, for the post-assembly detection of contaminating sequences in the published genome of the kelp&nbsp;</span><em>Saccharina japonica</em><span>. Analyses were based on multiple blastn searches with short sequence fragments. They revealed a number of probable bacterial contaminations as well as hybrid scaffolds that contain both bacterial and algal sequences. This or similar types of analysis, in combination with manual curation, may thus constitute a useful complement to standard bioinformatics analyses prior to submission of genomic data to public repositories. Our analysis pipeline is open-source and freely available at&nbsp;</span><a href="http://sdittami.altervista.org/taxoblast" title="">http://sdittami.altervista.org/taxoblast</a><span>&nbsp;and via SourceForge (</span><a href="https://sourceforge.net/projects/taxoblast" title="">https://sourceforge.net/projects/taxoblast</a><span>).</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/taxoblast/files/" rel="nofollow">https://sourceforge.net/projects/taxoblast/files/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5888/nit-calicut-faculty-jobs-2013-in-bioinformatics</guid>
  <pubDate>Thu, 24 Oct 2013 13:00:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[NIT Calicut Faculty Jobs 2013 in Bioinformatics]]></title>
  <description><![CDATA[
<p>NATIONAL INSTITUTE OF TECHNOLOGY CALICUT, KERALA</p>

<p>NOTIFICATION FOR FACULTY RECRUITMENT – 2013</p>

<p>(Faculty openings in Technology, Science, Architecture and Management at NIT Calicut, Kerala)</p>

<p>National Institute of Technology Calicut, Kerala, established under Act XXIX/ 2007of the Parliament is one of the leading technological institutions in the Country with nearly 6000 students enrolled for various UG, PG and Ph.D. programmes in Technology, Science, Architecture and Management. The Institute invites applications from Indian nationals, possessing consistent excellent academic record, commitment to quality teaching and potential for carrying out outstanding research, for the post of Assistant Professors in various departments against the backlog reserved vacancies for Scheduled Caste (SC), Scheduled Tribe (ST), Other Backward Communities (OBC) and Persons with Disabilities (PWDs) and also under open merit quota as detailed below. Candidates belonging to SC, ST and OBC desirous of considering for selection under UR category also shall specifically indicate so in column 4.</p>

<p>Reservation quota for PWDs will be counted against the respective community. Young, meritorious, dynamic and student friendly academicians are welcome to join hands with the existing team in their effort to transform this Institute to a world class educational institution.</p>

<p>Candidates possessing Ph.D. degree will be considered for appointment on contract basis initially.</p>

<p>They will be considered for movement to AGP `7000 after one year of satisfactory performance.</p>

<p>Meritorious candidates possessing M.Tech./M.Phil. (*) with remarkably good potential to carry out outstanding research and already pursuing Ph.D. or aspiring to pursue Ph.D. will also be considered for appointment on contract, initially for a period of 3 years, extendable for a further period of 2 years on a year to year basis or till the candidate acquires Ph.D. degree whichever is earlier. Renewal of contract<br />will be done on an annual basis, subject to satisfactory progress of Ph.D. work, good conduct and good performance in teaching. Faculty appointed on contract basis will not be treated as regular staff till they are regularized, subject to the conditions stated earlier. The Institute has adopted 4-tier flexible faculty structure recommended by MHRD. </p>

<p>More Info : http://www.nitc.ac.in/index.php/?url=content/submenu/2345/5</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37414/arc-pipeline-which-facilitates-iterative-reference-guided-de-novo-assemblies</guid>
	<pubDate>Thu, 26 Jul 2018 09:20:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37414/arc-pipeline-which-facilitates-iterative-reference-guided-de-novo-assemblies</link>
	<title><![CDATA[ARC: pipeline which facilitates iterative, reference guided de novo assemblies]]></title>
	<description><![CDATA[<p>ARC is a pipeline which facilitates iterative, reference guided&nbsp;<em>de novo</em>&nbsp;assemblies with the intent of:</p>
<ol>
<li>Reducing time in analysis and increasing accuracy of results by only considering those reads which should assemble together.</li>
<li>Reducing/removing reference bias as compared to mapping based approaches.</li>
</ol>
<p><span>The software is designed to work in situations where a whole-genome assembly is not the objective, but rather when the researcher wishes to assemble discreet 'targets' contained within next-generation shotgun sequence data. ARC decomplexifies the traditionally difficult problem of assembly by breaking the reads into small, manageable subsets which can then be assembled quickly and efficiently in parallel. Applications include those in which the researcher wishes to&nbsp;</span><em>de novo</em><span>&nbsp;assemble specific content and a set of semi-similar reference targets is available to initialize the assembly process.</span></p>
<p>https://ibest.github.io/ARC/</p><p>Address of the bookmark: <a href="https://ibest.github.io/ARC/" rel="nofollow">https://ibest.github.io/ARC/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5958/srfjrf-national-institute-of-immunology</guid>
  <pubDate>Wed, 30 Oct 2013 06:45:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF @ National Institute of Immunology]]></title>
  <description><![CDATA[
<p>ADVERTISEMENT OF WALK-IN-INTERVIEW</p>

<p>NAME OF THE POST : SRF/JRF (Four Posts only)</p>

<p>DURATION : Indicated with the respective project mentioned below:</p>

<p>NAME OF THE PROJECT : As Mentioned below:</p>

<p>1. Serological diversity and molecular characterization of Dichelobector nodusus and development of vaccine against virulent footroot funded by NAIP. (Tenable upto 31.03.2014)</p>

<p>2. Development of oral vaccine against Clostridium perfringenes employing translational fusion of immunodominant epitopes of beta toxin with heat labile entertoxin B funded by DBT. (Tenable upto 25.02.2014)</p>

<p>3. Indo-Norwegian project, “Evaluation of major porins, ompC and ompR of Areomonas hydrophila as potential vaccine candidates and identification and characterization of immune genes of Indian major carp, Labeo rohita” (Tenable upto 31.03.2014)</p>

<p>EDUCATIONAL QUALIFICATIONS: For JRF- M.Sc/M.Tech in any subject of Biological  Sciences/Life Sciences</p>

<p>For SRF- M.Sc/M.Tech in any subject of Biological Sciences/Life Sciences with 2 years of Research Experience.</p>

<p>JOB DESCRIPTION : The Candidate should have experience in gene Expression, protein purification, molecular biology techniques and bioinformatics<br />EMOLUMENTS : SRF: Rs. 18,000/- per month consolidated plus 30% HRA if /NET/GATE qualified otherwise Rs. 14,000/- per month consolidated + 30% HRA.</p>

<p>JRF: Rs. 16,000/- per month consolidated + 30% HRA if NET/GATE qualified otherwise Rs. 12,000/- per month consolidated + 30% HRA</p>

<p>SCIENTIST NAME : Dr. Lalit C. Garg, SS-VII (Gene Regulation Lab)</p>

<p>SCIENTIST’S EMAIL : lalit@nii.ac.in</p>

<p>WALK IN INTERVIEW ON : October 31st, 2013</p>

<p>REGISTRATION OF CANDIDATES: 10.30 AM to 11.00 AM </p>

<p>Advertisement: http://www1.nii.res.in/sites/default/files/project-Dr.Lalit-31oct2013.pdf</p>
]]></description>
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