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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31566?offset=1440</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23174/scaffolding-of-a-bacterial-genome-using-minion-nanopore-sequencing</guid>
	<pubDate>Tue, 07 Jul 2015 16:59:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23174/scaffolding-of-a-bacterial-genome-using-minion-nanopore-sequencing</link>
	<title><![CDATA[Scaffolding of a bacterial genome using MinION nanopore sequencing]]></title>
	<description><![CDATA[<p><span>Second generation sequencing has revolutionized genomic studies. However, most genomes contain repeated DNA elements that are longer than the read lengths achievable with typical sequencers, so the genomic order of several generated contigs cannot be easily resolved. A new generation of sequencers offering substantially longer reads is emerging, notably the Pacific Biosciences (PacBio) RS II system and the MinION system, released in early 2014 by Oxford Nanopore Technologies through an early access program.</span></p><p>Address of the bookmark: <a href="http://www.nature.com/srep/2015/150707/srep11996/full/srep11996.html" rel="nofollow">http://www.nature.com/srep/2015/150707/srep11996/full/srep11996.html</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24464/guest-faculty-job-vacancies-in-pondicherry-university</guid>
  <pubDate>Tue, 22 Sep 2015 23:50:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[Guest Faculty Job vacancies in Pondicherry University]]></title>
  <description><![CDATA[
<p>Guest Faculty Job vacancies in Pondicherry University<br />Qualification : M.Phil. / M.Tech. / M.Sc. in Computer Science / Master of Computer Applications with a minimum of 55% of marks. Candidates with Ph.D. degree and NET/SLET qualification will be given preference as per UGC norms.</p>

<p>Desirable : Research or teaching experience in Bioinformatics and Computational Biology.<br />Honorarium : Rs. 1,000/- per lecture (subject to a maximum of 25,000/- per month)<br />How to apply</p>

<p>Interested eligible candidates may attend the 'walk-in' interview along with all original certificates and testimonials with a copy of their bio-data. Walk-in-interview will be held on 28.09.2015 (Monday), 03:00 P.M. at the office of the Dean, School of Life Sciences, Science Block — I, Pondicherry University, Puducherry — 605 014. Candidates reporting after 03:00 P.M. will not be entertained.</p>

<p>More at http://www.pondiuni.edu.in/news/walk-interview-guest-faculty-centre-bioinformatics</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32862/gam-ngs-genomic-assemblies-merger-for-next-generation-sequencing</guid>
	<pubDate>Fri, 19 May 2017 07:44:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32862/gam-ngs-genomic-assemblies-merger-for-next-generation-sequencing</link>
	<title><![CDATA[GAM-NGS: genomic assemblies merger for next generation sequencing]]></title>
	<description><![CDATA[<p><span>GAM-NGS is a tool able to merge two or more assemblies in order to improve contiguity and correctness. It can be used on all NGS-based assembly projects and it shows its full potential with multi-library Illumina-based projects. With more than 20 available assemblers it is hard to select the best tool. In this context we propose a tool that improves assemblies (and, as a by-product, perhaps even assemblers) by merging them and selecting the generating that is most likely to be correct.</span></p><p>Address of the bookmark: <a href="https://github.com/vice87/gam-ngs" rel="nofollow">https://github.com/vice87/gam-ngs</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25252/bioinformatics-faculty-at-university-of-pune</guid>
  <pubDate>Fri, 13 Nov 2015 03:06:00 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Faculty at University of Pune]]></title>
  <description><![CDATA[
<p>SAVITRIBAI PHULE PUNE UNIVERSITY<br />(Formerly University of Pune)<br />(APPOINTMENT OF TEACHING POSTS)</p>

<p>Accompaniment to the Advertisement No. 52 dated 10.11.2015 for various Teaching Positions purely on contract basis for a maximum period of five years in the various Departments/Centre of the University.</p>

<p>Last date for receipt of application in the University Office is 04.12.2015.</p>

<p>Associate Professor</p>

<p>    Environmental Science</p>

<p>    Institute of Bioinformatics &amp; Biotechnology (IBB)</p>

<p>    Microbiology</p>

<p>Assistant Professor</p>

<p>    Biotechnology</p>

<p>    Institute of Bioinformatics &amp; Biotechnology (IBB)</p>

<p>    Microbiology</p>

<p>More Info : http://collegecirculars.unipune.ac.in/sites/documents/Job%20Openings/advt-no-52-dt-10-11-2015-contract-positions.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33506/bedops-v2426-high-performance-genomic-feature-operations</guid>
	<pubDate>Mon, 12 Jun 2017 10:11:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33506/bedops-v2426-high-performance-genomic-feature-operations</link>
	<title><![CDATA[BEDOPS v2.4.26: high-performance genomic feature operations]]></title>
	<description><![CDATA[<p><strong>BEDOPS v2.4.26</strong> is a suite of tools to address common questions raised in genomic studies &mdash; mostly with regard to overlap and proximity relationships between data sets. It aims to be scalable and flexible, facilitating the efficient and accurate analysis and management of large-scale genomic data.</p>
<p>The <a href="https://bedops.readthedocs.io/en/latest/content/overview.html#overview">overview</a> section of the <strong>BEDOPS v2.4.26</strong> documentation summarizes the toolkit, functionality and performance enhancements. The <a href="https://bedops.readthedocs.io/en/latest/index.html#reference">reference</a> table offers documentation for all applications and scripts.</p><p>Address of the bookmark: <a href="https://github.com/bedops/bedops" rel="nofollow">https://github.com/bedops/bedops</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24923/postdoctoral-positions-are-available-at-the-faryabi-lab</guid>
  <pubDate>Sun, 11 Oct 2015 03:36:18 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral positions are available at the Faryabi Lab]]></title>
  <description><![CDATA[
<p>Postdoctoral positions are available at the Faryabi Lab located in the Department of Pathology and the Center for Personalized Diagnostics at the University of Pennsylvania.</p>

<p>A qualified candidate will be strongly motivated individual with following qualifications: a Ph.D. in computational sciences, engineering, physics, bioinformatics, or related field. Ability to program in Python/Perl and R in Unix environment, knowledge of C++, Java, and SQL is a plus. Demonstrated applied bioinformatics/computational proficiency as evidenced by relevant publications in peer-reviewed journals. Experience with cancer genomics is a plus.</p>

<p>The primary research focus of the Faryabi Lab is on developing novel computational methods to study mechanisms involved in genome instability and elucidate their roles in tumorigenesis. In addition the position provides collaborative opportunities with both basic and translational scientists across the Perelman School of Medicine, one of the top 5 medical research universities in the nation.<br />. a Ph.D. degree in either physical or computational sciences<br />. solid programming skills ( Python/Perl, Java, C/C++, R, SQL)<br />. computational genomics experience ( high throughput sequence analysis)<br />. excellent spoken and written communication and interaction skills<br />. publications in English in relevant areas of research in peer-reviewed journals.<br />. Previous experience or interest in data visualization design is a plus.</p>

<p>More at <br />University of Pennsylvania<br />Pathology and Laboratory Medicine<br />Robert B. Faryabi<br />faryabiPenn@gmail.com<br />http://faryabib.github.io/<br />How To Apply:	email CV and contacts of 3 references to faryabiPenn@gmail.com</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25249/research-associatesresearch-fellow-school-of-agricultural-biotechnology-last-date-17-11-2015-and-interview-on-26-11-2015-at-1100-am</guid>
  <pubDate>Fri, 13 Nov 2015 02:46:59 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associates/Research Fellow - School of Agricultural Biotechnology (Last Date 17-11-2015 and Interview on 26-11-2015 at 11.00 AM)]]></title>
  <description><![CDATA[
<p>PAU Recruitment November 2015, Punjab</p>

<p>Job notification in Punjab Agricultural University (PAU) for research Associate/ Research Fellow posts for different projects. Eligible candidates may apply in prescribed application format on or before 17-11-2015 from 09:00 am to 05:00 pm.</p>

<p>Vacancies:<br />Research Associate/ Research Fellow-03<br />Qualification:<br />Candidates should possess B.Sc. with minimum 50% marks, M.Sc. in Bioinformatics/ Biotechnology/ Genetics/ Plant Breeding/ Plant Breeding &amp; Genetics/ Plant Breeding, Genetics &amp; Biotechnology/ Microbiology/ Biochemistry/ Botany with 65% marks.<br />Selection Process:<br />Selection will be based on interview.<br />How to Apply:<br />Eligible candidates may send their applications along with attested copies of certificates, fee to the Director, School of Agricultural Biotechnology, PAU, Ludhiana on or before 17-11-2015 from 09:00 am to 05:00 pm<br />Last Date:<br />17-11-2015 </p>

<p>More at http://web.pau.edu/content/banner/1349.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/37236/installing-salmon-for-trinity</guid>
	<pubDate>Tue, 03 Jul 2018 09:02:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/37236/installing-salmon-for-trinity</link>
	<title><![CDATA[Installing Salmon for Trinity !]]></title>
	<description><![CDATA[
<p>➜  trinityrnaseq-Trinity-v2.6.6 git:(master) ✗ conda install salmon<br />Solving environment: done</p>

<p>## Package Plan ##</p>

<p>  environment location: /home/urbe/anaconda3</p>

<p>  added / updated specs: <br />    - salmon</p>

<p>The following packages will be downloaded:</p>

<p>    package                    |            build<br />    ---------------------------|-----------------<br />    boost-1.64.0               |           py36_4         331 KB  conda-forge<br />    jemalloc-5.1.0             |       hfc679d8_0         8.2 MB  conda-forge<br />    boost-cpp-1.64.0           |                1        17.8 MB  conda-forge<br />    salmon-0.10.2              |                1         3.7 MB  bioconda<br />    conda-4.5.5                |           py36_0         624 KB  conda-forge<br />    tbb-2018_20171205          |                0         1.2 MB  conda-forge<br />    ------------------------------------------------------------<br />                                           Total:        31.8 MB</p>

<p>The following NEW packages will be INSTALLED:</p>

<p>    boost:     1.64.0-py36_4    conda-forge<br />    boost-cpp: 1.64.0-1         conda-forge<br />    jemalloc:  5.1.0-hfc679d8_0 conda-forge<br />    salmon:    0.10.2-1         bioconda   <br />    tbb:       2018_20171205-0  conda-forge</p>

<p>The following packages will be UPDATED:</p>

<p>    conda:     4.5.4-py36_0     conda-forge --&gt; 4.5.5-py36_0 conda-forge</p>

<p>Proceed ([y]/n)? y</p>

<p>Downloading and Extracting Packages<br />boost-1.64.0         |  331 KB | ####################################################################################################################################### | 100% <br />jemalloc-5.1.0       |  8.2 MB | ####################################################################################################################################### | 100% <br />boost-cpp-1.64.0     | 17.8 MB | ####################################################################################################################################### | 100% <br />salmon-0.10.2        |  3.7 MB | ####################################################################################################################################### | 100% <br />conda-4.5.5          |  624 KB | ####################################################################################################################################### | 100% <br />tbb-2018_20171205    |  1.2 MB | ####################################################################################################################################### | 100% <br />Preparing transaction: done<br />Verifying transaction: done<br />Executing transaction: done</p>
]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25095/jrf-bioinformatics</guid>
  <pubDate>Mon, 02 Nov 2015 03:24:50 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics]]></title>
  <description><![CDATA[
<p>JRF Bioinformatics</p>

<p>Eligibility : ME/M.Tech, MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech, Microbiology), BE/B.Tech</p>

<p>Location : Gandhinagar</p>

<p>Last Date : 05 Nov 2015</p>

<p>Hiring Process : Face to Face Interview</p>

<p>Junior Research Fellow (JRF) Job vacancies in Gujarat State Biotechnology Mission (GSBTM)</p>

<p>Project : “Establishing a network in computational and system biology”</p>

<p>No. of Post : 01</p>

<p>Qualification : MSc. /M.Tech. /B.E. /B.Tech. in Biotechnology/Bioinformatics /Life Sciences /Microbiology /Biochemistry /Genetics from recognized University. Preference would be given to the candidates having NET/GATE.</p>

<p>Fellowship : Rs. 12,000 + 20% HRA<br />How to apply</p>

<p>Applications should be filled Online. The last date for submission of application is 5th November, 2015.</p>

<p>More at http://btm.gujarat.gov.in/btm/recruitment2.htm</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37830/nquire-a-statistical-framework-for-ploidy-estimation-using-next-generation-sequencing</guid>
	<pubDate>Thu, 04 Oct 2018 05:23:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37830/nquire-a-statistical-framework-for-ploidy-estimation-using-next-generation-sequencing</link>
	<title><![CDATA[nQuire: a statistical framework for ploidy estimation using next generation sequencing]]></title>
	<description><![CDATA[<p>nQuire provides a statistical framework to study organisms with intraspecific variation in ploidy. nQuire is likely to be useful in epidemiological studies of pathogens, artificial selection experiments, and for historical or ancient samples where intact nuclei are not preserved. It is implemented as a stand-alone Linux command line tool in the C programming language and is available at https://github.com/clwgg/nQuireunder the MIT license.</p><p>Address of the bookmark: <a href="https://github.com/clwgg/nQuireunder" rel="nofollow">https://github.com/clwgg/nQuireunder</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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