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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/32011?offset=1170</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/34463/single-cell-rnaseq-data-analysis-tutorial</guid>
	<pubDate>Mon, 27 Nov 2017 16:24:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/34463/single-cell-rnaseq-data-analysis-tutorial</link>
	<title><![CDATA[Single Cell RNAseq data analysis tutorial !!]]></title>
	<description><![CDATA[<ul>
<li>A major breakthrough (replaced microarrays) in the late 00&rsquo;s and has been widely used since</li>
<li>Measures the&nbsp;average expression level&nbsp;for each gene across a large population of input cells</li>
<li>Useful for comparative transcriptomics, e.g.&nbsp;samples of the same tissue from different species</li>
<li>Useful for quantifying expression signatures from ensembles, e.g.&nbsp;in disease studies</li>
<li>Insufficient&nbsp;for studying heterogeneous systems, e.g.&nbsp;early development studies, complex tissues (brain)</li>
<li>Does&nbsp;not&nbsp;provide insights into the stochastic nature of gene expression</li>
</ul><p>Following are the useful links:</p><p><a href="http://hemberg-lab.github.io/scRNA.seq.course/scRNA-seq-course.pdf" target="_blank">Single Cell RNAseq data analysis Tutorial</a></p><p><a href="https://f1000research.com/articles/5-2122/v2" target="_blank">A step-by-step workflow for low-level analysis of single-cell RNA-seq data</a></p><p><a href="https://www.bioconductor.org/help/workflows/simpleSingleCell/" target="_blank">A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor</a></p><p>SCell: single-cell RNA-seq analysis software</p><p><a href="https://github.com/diazlab/SCell">https://github.com/diazlab/SCell</a></p><p>Beta-Poisson model for single-cell RNA-seq data analyses</p><p><a href="https://github.com/nghiavtr/BPSC">https://github.com/nghiavtr/BPSC</a></p><p>Sincera: A Computational Pipeline for Single Cell RNA-Seq Profiling Analysis</p><p><a href="https://research.cchmc.org/pbge/sincera.html">https://research.cchmc.org/pbge/sincera.html</a></p><p>SC3 &ndash; consensus clustering of single-cell RNA-Seq data</p><p><a href="http://biorxiv.org/content/early/2016/09/02/036558">http://biorxiv.org/content/early/2016/09/02/036558</a></p><p>Citrus: A toolkit for single cell sequencing analysis</p><p><a href="http://biorxiv.org/content/early/2016/09/14/045070">http://biorxiv.org/content/early/2016/09/14/045070</a></p><p>Single-Cell Resolution of Temporal Gene Expression during Heart Development</p><p><a href="http://www.cell.com/developmental-cell/fulltext/S1534-5807%2816%2930682-7">http://www.cell.com/developmental-cell/fulltext/S1534-5807(16)30682-7</a></p><p>Scalable latent-factor models applied to single-cell RNA-seq data separate biological drivers from confounding effects</p><p><a href="http://biorxiv.org/content/early/2016/11/15/087775">http://biorxiv.org/content/early/2016/11/15/087775</a></p><p>Single cell transcriptomes identify human islet cell signatures and reveal cell-type-specific expression changes in type 2 diabetes</p><p><a href="http://genome.cshlp.org/content/early/2016/11/18/gr.212720.116.abstract">http://genome.cshlp.org/content/early/2016/11/18/gr.212720.116.abstract</a></p><p>SCODE: An efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation</p><p><a href="http://biorxiv.org/content/early/2016/11/21/088856">http://biorxiv.org/content/early/2016/11/21/088856</a></p><p>SCOUP is a probabilistic model to analyze single-cell expression data during differentiation</p><p><a href="https://github.com/hmatsu1226/SCOUP">https://github.com/hmatsu1226/SCOUP</a></p><p>scLVM is a modelling framework for single-cell RNA-seq data</p><p><a href="https://github.com/PMBio/scLVM">https://github.com/PMBio/scLVM</a></p><p>Selective Locally linear Inference of Cellular Expression Relationships (SLICER) algorithm for inferring cell trajectories</p><p><a href="https://github.com/jw156605/SLICER">https://github.com/jw156605/SLICER</a></p><p>SinQC: A Method and Tool to Control Single-cell RNA-seq Data Quality</p><p><a href="http://www.morgridge.net/SinQC.html">http://www.morgridge.net/SinQC.html</a></p><p>TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis</p><p><a href="https://github.com/zji90/TSCAN">https://github.com/zji90/TSCAN</a></p><p>Visualization and cellular hierarchy inference of single-cell data using SPADE</p><p><a href="http://www.nature.com/nprot/journal/v11/n7/full/nprot.2016.066.html">http://www.nature.com/nprot/journal/v11/n7/full/nprot.2016.066.html</a></p><p>OEFinder: Identify ordering effect genes in single cell RNA-seq data</p><p><a href="https://github.com/lengning/OEFinder">https://github.com/lengning/OEFinder</a></p>]]></description>
	<dc:creator>Robert M Willioms</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/18579/cluster-innovation-center-university-of-delhi</guid>
  <pubDate>Wed, 22 Oct 2014 10:39:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[CLUSTER INNOVATION CENTER @ UNIVERSITY OF DELHI]]></title>
  <description><![CDATA[
<p>Applications for Pre-selection of  candidates under ‘Institutions Mode’ for DST-ISPIRE Faculty in  Computational Biology/ Systems Biology/ Bioinformatics</p>

<p>Applications are invited for pre-selection  of candidates for Ministry of Science and Technology, Department of Science and Technology INSPIRE Faculty Scheme: a component of “Assured Opportunity for Research Career (AORC)” under INSPIRE in the area of computational Biology/Systems Biology/Bioinformatics.</p>

<p>Candidates having done their B.Tech/B.E.  and or M.Sc./M.Tech in Computer Science or Biotechnology and Ph.D. in Systems/ Computational Biology or Bioinformatics may apply in the following format prescribed by DST to the Director, Cluster Innovation Center, University Stadium, GC Narang Marg, University of Delhi, Delhi -11107. Detials of other qualification, age limits etc., please visit www.inspire-dst.gov.in.</p>

<p>Application on the prescribed format may be submitted by email to director@cic.du.ac.in before October 25, 2014. Selected candidates shall be called for an interview. The date, time and venue of the interview shall be informed by email/telephone. For more information about Cluster Innovation Center, please visit https://ducic.ac.in.</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42497/genome-assembly-training-tutorial-at-galaxy</guid>
	<pubDate>Sun, 27 Dec 2020 05:25:45 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42497/genome-assembly-training-tutorial-at-galaxy</link>
	<title><![CDATA[Genome assembly training tutorial at Galaxy !]]></title>
	<description><![CDATA[<p>In this tutorial we assemble and annotate the genome of <em>E. coli</em> strain <a href="http://cgsc2.biology.yale.edu/Strain.php?ID=8232">C-1</a>. This strain is routinely used in experimental evolution studies involving bacteriophages. For instance, now classic works by Holly Wichman and Jim Bull (<a href="https://training.galaxyproject.org/training-material/topics/assembly/tutorials/unicycler-assembly/tutorial.html#Bull1997">Bull 1997</a>, <a href="https://training.galaxyproject.org/training-material/topics/assembly/tutorials/unicycler-assembly/tutorial.html#Bull1998">Bull 1998</a>, <a href="https://training.galaxyproject.org/training-material/topics/assembly/tutorials/unicycler-assembly/tutorial.html#Wichman1999">Wichman 1999</a>) have been performed using this strain and bacteriophage phiX174.</p><p>Address of the bookmark: <a href="https://training.galaxyproject.org/training-material/topics/assembly/tutorials/unicycler-assembly/tutorial.html" rel="nofollow">https://training.galaxyproject.org/training-material/topics/assembly/tutorials/unicycler-assembly/tutorial.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19059/ipython-interactive-notebooks</guid>
	<pubDate>Fri, 07 Nov 2014 12:07:02 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19059/ipython-interactive-notebooks</link>
	<title><![CDATA[IPython: Interactive notebooks]]></title>
	<description><![CDATA[<p>The IPython Notebook is a web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document.</p><p>These notebooks are normal files that can be shared with colleagues, converted to other formats such as HTML or PDF, etc. You can share any publicly available notebook by using the IPython Notebook Viewer service which will render it as a static web page. This makes it easy to give your colleagues a document they can read immediately without having to install anything.</p><p><img src="http://ipython.org/_images/9_home_fperez_prof_grants_1207-sloan-ipython_proposal_fig_ipython-notebook-specgram.png" width="985" height="916" alt="image" style="border: 0px;"><br /><br />To learn more about using the IPython Notebook, you can visit our example collection, and you can read the documentation for all the details on how to use and configure the system. The Notebook Gallery showcases many interesting notebooks covering a variety of topics, from basic programming to advanced scientific computing.</p><p>&nbsp;</p><p>More http://www.nature.com/news/interactive-notebooks-sharing-the-code-1.16261</p><p>http://ipython.org/ipython-doc/1/interactive/notebook.html</p><p>Reference http://ipython.org/notebook.html</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/19161/niab-molecular-biologybioinformatics-scientistra-openings</guid>
  <pubDate>Thu, 13 Nov 2014 13:37:27 -0600</pubDate>
  <link></link>
  <title><![CDATA[NIAB Molecular Biology/Bioinformatics Scientist/RA Openings]]></title>
  <description><![CDATA[
<p>D. No. 1-121/1, 4th and 5th Floors, Axis Clinicals Building, Miyapur, Hyderabad, Telangana, India- 500 049</p>

<p>Email: admin@niab.org.in Telephones: +91 40 2304 9403 Telefax: +91 40 2304 2740<br />Advertisement No: 5/2014</p>

<p>About NIAB National Institute of Animal Biotechnology (NIAB), Hyderabad, an autonomous institute under the aegis of Department of Biotechnology, Government of India, is aimed to harness novel and emerging biotechnologies and create knowledge in the cutting edge areas for improving animal health and productivity.</p>

<p>Applications are invited for the following temporary research positions to work in ongoing DBTBBSRC sponsored research project entitled “Transcriptome Analysis in Indian buffalo and the Genetics of Innate Immunity” at the National Institute of Animal Biotechnology, Hyderabad.</p>

<p>(A) Project Scientist – Level B (One Position)</p>

<p>Emoluments: Rs. 15600 + GP Rs. 5400 + 30 % HRA p.m. (Total emoluments will be Rs. 49,770/-p.m. for the duration of the project)</p>

<p>Essential Qualification: Candidates having M.V.Sc. in Veterinary Microbiology / Veterinary Pathology / Veterinary Public Health / Ph.D. degree in Life Sciences, Biotechnology, Molecular Biology or any other related field from the recognized university are eligible to apply.</p>

<p>The candidate should have a good academic record and research experience as evidenced from published in standard referred journals / patents.</p>

<p>Desirable: Candidates having research experience in the area of tissue culture, genomics, Transcriptomics and Advanced Molecular Biology will be given preference.</p>

<p>Age Limit: Not exceeding 30 years as on last date of the submission of the application.</p>

<p>(B) Research Associate in Bioinformatics (One position)</p>

<p>Fellowship: Rs. 22,000 + 30 % HRA</p>

<p>Essential Qualification: Candidates having Ph.D. degree or M.Tech. with three years of<br />experience in Bioinformatics, Computational Biology, Biotechnology, Life Sciences or any other related field are eligible to apply.</p>

<p>Desirable: Candidate having research experience in the area of next generation sequencing (NGS) data analysis, Genome wide association studies, Genomic selection, advance genomic data analysis etc., will be given preference. The candidate should have a good academic record and research experience as evidenced from published papers in standard journals / patents.</p>

<p>Age Limit: Not exceeding 30 years as on last date of the submission of the application.</p>

<p>Project Duration: The duration of the project is Three years and the positions are co- terminus with the duration of the project. (Initial appointment will be for one year and further extension will be granted based on annual review).</p>

<p>Mode of submission of application: Only online applications are to be submitted through<br />www.niab.org.in on or before 08 December, 2014. Link for online submission of applications will be available from 10 November 2014.</p>

<p>Advertisement: www.niab.org.in/Notifications/Advt_5_2014/Advt_5_2014.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/19249/bioinformatics-jrfrasrf-position-at-panjab-university</guid>
  <pubDate>Wed, 19 Nov 2014 20:19:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics JRF/RA/SRF position at PANJAB UNIVERSITY]]></title>
  <description><![CDATA[
<p>CENTRE FOR SYSTEMS BIOLOGY &amp; BIOINFORMATICS<br />UIEAST, PANJAB UNIVERSITY, CHANDIGARH</p>

<p>Applications are invited along with complete bio-data and attested copies of certificates of qualifications, experience etc. for the one post of Research Fellow and one post of Program Assistant under PURSE Grant of the University in Centre for Systems Biology &amp; Bioinformatics, UIEAST, Panjab University, Chandigarh which is tenable till the period of<br />the project.</p>

<p>Essential Qualification</p>

<p>For Research Fellow:-</p>

<p>M.Sc. in Systems Biology and Bioinformatics / Life Sciences with minimum 55% marks.</p>

<p>Preference will be given to NET/GATE/ICMR qualified candidates without fellowship however, candidates who have cleared the Panjab University Ph.D. entrance test in Systems Biology &amp; Bioinformatics will also be eligible.</p>

<p>For Program Assistant:-</p>

<p>The candidate must have M.Sc./M.Tech/MCA/PGDCA in Computer Science and must be able to handle LAN, Linex. Preference will be given to the candidate having experience in<br />System Administration.</p>

<p>Emoluments</p>

<p>For Research Fellow Rs. 12,500/- per month (Fixed)<br />For Program Assistant Rs. 12,500/- per month (Fixed)</p>

<p>Applications should be reach on or before 19-11-2014 in the office of the undersigned.</p>

<p>Interview will be held on 21-11-2014 in the office of the Coordinator, Centre for Systems Biology &amp; Bioinformatics, South Campus, Block-3, Sector-25, Panjab University, Chandigarh. No TA/DA will be paid.</p>

<p>Advertisement:</p>

<p>http://jobs.puchd.ac.in/includes/jobs/2014/20141110143634-Advertisement.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/19541/bioinformatics-sub-dic-dic</guid>
  <pubDate>Fri, 12 Dec 2014 21:14:57 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics SUB DIC (DIC)]]></title>
  <description><![CDATA[
<p>Project Title BIOINFORMATICS SUB DIC (DIC)</p>

<p>Reference Number IIT/SRIC/R/DIC/2014/314, DATED 28thNovember, 2014</p>

<p>Temporary Position(s)</p>

<p>i) Junior/ Senior Project Officer (1)<br />ii) Junior Project Assistant (2)</p>

<p>Consolidated Compensation</p>

<p>i) Rs.16,000/- to Rs.18,000/- p.m. (depending on qualification &amp; experience)<br />ii) Rs.8,000/- to Rs.10,000/- p.m. (depending on qualification &amp; experience)</p>

<p>Coordinator / PI Dr. Sudip K. Ghosh, Dept of Biotechnology.</p>

<p>Department / Centre / School Dept of Biotechnology </p>

<p>Qualifications &amp; Experience</p>

<p>(i) M. Sc in any branch of Life Sciences with experience in Molecular  Biology/Genetics/Biochemistry preferably a Post Graduate diploma in Bioinformatics or two years working experience in bioinformatics (Minimum 60% marks starting from matriculation examination).</p>

<p>(ii) B. Sc. /B.A. /B. Com/Diploma in Management or Computer Science. Knowledge in computer software will be preferred (minimum 50% marks starting from matriculation examination).</p>

<p>More Information</p>

<p>Interested eligible persons may apply on plain paper, giving full bio-data along with attested copies of testimonials to the undersigned on or before 11thDecember, 2014. </p>

<p>Sponsor DBT, NEW DELHI</p>

<p>Last Date 11 Dec 2014</p>

<p>Application Fee Demand Draft for Rs.50/- (Not for female candidates) drawn in favour of IIT Kharagpur payable at Kharagpur</p>

<p>Advertisement: www.iitkgp.ac.in/topfiles/sric_job_details.php?serial=2826</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/19580/internship-program-for-bioinformatics-biotechnology-mba-mca-no-of-vacancy-5</guid>
  <pubDate>Mon, 15 Dec 2014 08:11:02 -0600</pubDate>
  <link></link>
  <title><![CDATA[Internship Program for Bioinformatics / Biotechnology / MBA / MCA (No. Of Vacancy: 5)]]></title>
  <description><![CDATA[
<p>ArrayGen is offering an Internship Program for Post graduate Bioinformatics / Biotechnology / MBA / MCA students and professionals. ArrayGen Technologies provide an excellent opportunity to gain research experience and explore if a scientific career is right for you. Currently we offer positions to outstanding students interested in Next Generation Sequencing (NGS) data analysis or marketing or software development. Applications are accepted throughout the year. Accepted students will be notified through email.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19792/irishgrid-irish-grid-mapping-system</guid>
	<pubDate>Fri, 26 Dec 2014 07:53:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19792/irishgrid-irish-grid-mapping-system</link>
	<title><![CDATA[irishgrid: Irish Grid Mapping System]]></title>
	<description><![CDATA[<p>Perl module for creating geographic 10km-square maps using either SVG or PNG (with GD library) output format.</p>
<p>Originally design to map the location of objects in a 10 km map IrishGrid includes:</p>
<ul>
<li>native support of the Irish Grid System (see <a href="http://www.osi.ie/">http://www.osi.ie/</a>)</li>
<li>optimize for speed (there's as less as possible data to conversion)</li>
<li>customized color functions</li>
</ul>
<p>https://code.google.com/p/irishgrid/downloads/detail?name=irishgrid.pl</p><p>Address of the bookmark: <a href="https://code.google.com/p/irishgrid/" rel="nofollow">https://code.google.com/p/irishgrid/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23536/teaching-assistant-at-svims</guid>
  <pubDate>Fri, 31 Jul 2015 10:15:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[Teaching Assistant at SVIMS]]></title>
  <description><![CDATA[
<p>Eligible candidates are invited for a walk-in-interview for recruitment of Teaching Assistant in the Department of Bioinformatics on 8.08.2015 at 10 A.M. in the Committee Hall, SVIMS, Tirupati. The candidates have to attend with all original certificates of qualification, experience on the date of interview. The engagement will be made purely on adhoc basis for a period of 6 months and it can be terminated at any time without notice or without assigning any reason thereof. This is purely an adhoc appointment and the candidate will not have any right to claim permanent benefits of any kind.</p>

<p>1. Remuneration : Rs. 12000/- per month (consolidated)</p>

<p>2. Qualification : M.Sc./M.Tech. Bioinformatics (preference will be given to the candidates with BINC / NET / GATE / Bioinformatics DBT-Traineeship / Studentship and teaching experience)</p>

<p>3. Place of work : Department of Bioinformatics, SVIMS, Tirupati</p>

<p>4. No. of Position : One</p>

<p>Terms and conditions:</p>

<p>1. Candidates are required to submit the Biodata, attested copies of relevant certificates in support of their age, educational qualification, experience etc., before the interview committee, SVIMS University, Tirupati.<br />2. No TA / DA will be paid for attending the interview.<br />3. Interim enquiries will not be entertained.<br />4. The maximum age limit for Teaching Assistant is 34 years as on 8th August, 2015.<br />5. The tenure of will be further extended subject to performance of the incumbent.</p>

<p>Advertisement: http://svimsbic.org/Teaching_Assistant_B.I._2015.pdf</p>
]]></description>
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