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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31568?offset=790</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21434/bioinformatics-project-assistant-at-pune-university</guid>
  <pubDate>Tue, 24 Feb 2015 08:15:19 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Project Assistant at Pune University]]></title>
  <description><![CDATA[
<p>Pune University Recruitment 2015 – Project Asst Posts: Savitribai Phule Pune University has given a notification for the recruitment of Project Assistant vacancies for the project entitled “Molecular Characterization of Organisms for Therapeutic Applications”. Eligible candidates may apply in prescribed application format on or before 28-02-2015. Other details like educational qualification &amp; how to apply are given below…</p>

<p>Pune University Vacancy Details:<br />Total No. of Posts: 03<br />Name of the Post: Project Assistant</p>

<p>Educational Qualification: Candidates should possess M.Sc Degree in Biotechnology/ Biochemistry/ Virology/ Microbiology/ Bioinformatics/ Botany/ Zoology/ Molecular Biology/ Genetics with first class or equivalent GPA with relevant experience.</p>

<p>Selection Process: Shortlisted candidates will be called for interview.</p>

<p>How to Apply: Eligible candidates may send their applications along with detailed biodata with recent passport size photo &amp; self attested copies of relevant documents as mentioned in the notification in an envelope should be superscribed with specialization of subject &amp; cast addressed to UPE Phase II, Focus Area, Biotechnology at Savitribai Phule Pune University on or before 28-02-2015.</p>

<p>Last Date for Receipt of Applications: 28-02-2015.</p>

<p>Read more: Pune University Recruitment 2015 - Project Asst Posts http://www.freejobalert.com/university-of-pune/6941/#ixzz3Sfhtn4hb</p>

<p>http://www.freejobalert.com/wp-content/uploads/2015/01/Notification-Pune-University-Project-Asst-Posts.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38758/roary-the-pan-genome-pipeline</guid>
	<pubDate>Tue, 22 Jan 2019 05:52:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38758/roary-the-pan-genome-pipeline</link>
	<title><![CDATA[Roary: the Pan Genome Pipeline]]></title>
	<description><![CDATA[<p><span>Roary is a high speed stand alone pan genome pipeline, which takes annotated assemblies in GFF3 format (produced by Prokka (Seemann, 2014)) and calculates the pan genome. Using a standard desktop PC, it can analyse datasets with thousands of samples, something which is computationally infeasible with existing methods, without compromising the quality of the results. 128 samples can be analysed in under 1 hour using 1 GB of RAM and a single processor. To perform this analysis using existing methods would take weeks and hundreds of GB of RAM. Roary is not intended for meta-genomics or for comparing extremely diverse sets of genomes.</span></p><p>Address of the bookmark: <a href="https://sanger-pathogens.github.io/Roary/" rel="nofollow">https://sanger-pathogens.github.io/Roary/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/21365/a-guide-for-complete-r-beginners</guid>
	<pubDate>Fri, 20 Feb 2015 23:36:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/21365/a-guide-for-complete-r-beginners</link>
	<title><![CDATA[A guide for complete R beginners !]]></title>
	<description><![CDATA[<p>This tutorial is intended to introduce users quickly to the basics of R, focusing on a few common tasks that &nbsp;biologists need to perform &nbsp;some basic analysis: &nbsp;load a table, plot some graphs, and perform some basic statistics. More extensive tutorials can be found on the project website and via bioconductor (not covered here).</p><p><em><span style="text-decoration: underline;">R-language: </span></em><a href="http://www.r-project.org/"><span style="color: #000080;"><span style="text-decoration: underline;"><em>http://www.</em></span></span><span style="color: #000080;"><span style="text-decoration: underline;"><em><strong>r</strong></em></span></span><span style="color: #000080;"><span style="text-decoration: underline;"><em>-project.org</em></span></span></a></p><p><em>BioConductor</em>:&nbsp;<a href="http://www.bioconductor.org/">http://www.bioconductor.org</a></p><p><strong>Advantages of R</strong></p><ul>
<li>Free!</li>
<li>Powerful, many libraries have been created to perform application specific tasks. e.g. analysis of microarray experiments and Next-Gen sequencing (bioconductor: including Bioseq group).</li>
<li>Presentation quality graphics
<ul>
<li>Save as a png, pdf or svg</li>
</ul>
</li>
<li>History
<ul>
<li>What you do can be saved for the next time you use R.</li>
<li>Ability to turn it into an automated script to perform again and again on different data</li>
</ul>
</li>
</ul><p><strong>Disadvantages</strong></p><ul>
<li>Lack of a comprehensive graphical user interface, but two do exist: However some do exist:&nbsp;R commander: <a href="http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/">http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/</a> and&nbsp;Limma-gui (microarrays) : <a href="http://bioinf.wehi.edu.au/limmaGUI/">http://bioinf.wehi.edu.au/limmaGUI/</a></li>
</ul><p><strong>Preparation</strong></p><ul>
<li>(Optional) Download and save the tutorial data set from
<ul>
<li>http://bioinformatics.knowledgeblog.org/wp-content/uploads/bioinf/kerr/data.tsv</li>
<li>Start R (type R on a Linux or Mac terminal, or find the starting link from PC)</li>
</ul>
</li>
</ul><p><strong>Getting More Help</strong></p><ul>
<li>Project Home page
<ul>
<li><span style="color: #000080;"><span style="text-decoration: underline;"><a href="http://www.r-project.org/">http://www.r-project.org/</a></span></span></li>
<li>Check out the &lsquo;introduction to R&rsquo;, which is a much more in depth guide .</li>
<li>Also R has a built-in help system (see later)</li>
</ul>
</li>
</ul><p><strong>Working directory</strong></p><p>This is the directory used to store your data and results. It is useful if it is also the directory where your input data is stored.</p><ul>
<li>Mac/Linux: this is the directory where you typed in R</li>
<li>PC: Change using the change working directory option</li>
</ul>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39269/ragoo-fast-reference-guided-scaffolding-of-genome-assembly-contigs</guid>
	<pubDate>Wed, 17 Apr 2019 19:45:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39269/ragoo-fast-reference-guided-scaffolding-of-genome-assembly-contigs</link>
	<title><![CDATA[RaGOO: Fast Reference-Guided Scaffolding of Genome Assembly Contigs]]></title>
	<description><![CDATA[<p>Alonge M, Soyk S, Ramakrishnan S, Wang X, Goodwin S, Sedlazeck FJ, Lippman ZB, Schatz MC:&nbsp;<a href="https://www.biorxiv.org/content/early/2019/01/13/519637">Fast and accurate reference-guided scaffolding of draft genomes</a>.&nbsp;<em>bioRxiv</em>&nbsp;2019.</p>
<p>RaGOO is a tool for coalescing genome assembly contigs into pseudochromosomes via minimap2 alignments to a closely related reference genome. The focus of this tool is on practicality and therefore has the following features:</p>
<ol>
<li>Good performance. On a MacBook Pro using Arabidopsis data, pseudochromosome construction takes less than a minute and the whole pipeline with SV calling takes ~2 minutes.</li>
<li>Intact ordering and orienting of contigs.</li>
<li><a href="https://github.com/malonge/RaGOO/wiki/Breaking-Chimeric-Contigs">Chimeric contig correction</a></li>
<li><a href="https://github.com/malonge/RaGOO/wiki/GFF-File-Lift-Over">GFF lift-over</a></li>
<li><a href="https://github.com/malonge/RaGOO/wiki/Calling-Structural-Variants">Structural variant calling with and integrated version of Assemblytics</a></li>
<li>Confidence scores associated with the grouping, localization, and orientation for each contig.</li>
</ol><p>Address of the bookmark: <a href="https://github.com/malonge/RaGOO" rel="nofollow">https://github.com/malonge/RaGOO</a></p>]]></description>
	<dc:creator>BioJoker</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21471/opening-for-raextended-srf-in-bioinformatics-project-by-dbt-at-bose-institute</guid>
  <pubDate>Sun, 01 Mar 2015 00:50:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[Opening for RA/extended SRF in Bioinformatics project by DBT at Bose Institute]]></title>
  <description><![CDATA[
<p>The institute has evolved over the years into a multi-disciplinary research organization with stress on fundamental research in its pursuit of advancement of knowledge in Science and technology and at the same time developing highly competent and able scientific manpower for the country. The institute has on its staff highly qualified and experienced scientists working in the field of Biological, biochemical, Chemical and Physical sciences placed in long established departments of Physics, Chemistry, Botany, Microbiology, Biochemistry, and Biophysics, and the research sections on plant Molecular &amp; Cellular Genetics, Animal Physiology, Immunotechnology and Environmental science</p>

<p>Walk-in-Interview will be held on 04th March 2015 at 11.30 A.M. in the Bio- Informatics Centre of Bose Institute, P-1/12, C.I.T. Scheme VII-M, Kolkata- 700054 for two (02) positions of Research Associate/ Extended Senior Research Fellow in the DBT sponsored following two projects running under the CoE- Bioinformatics under the guidance of Prof. Pinakpani Chakrabarti, Bioinformatics Centre.</p>

<p>Position : RA/SRF<br />Project title : 1. "Centre of Excellence (CoE) in Bioinformatics at Bose Institute”,2. Project entitled “Setting up of National Facility on Interactive Graphysics Computer System (IGCS) for Biomolecular Modeling, Molecular Dynamics &amp; Structures”</p>

<p>Desired Profile : Ph.D degree in Biological or Chemical Sciences with in-depth understanding of protein structure and dynamics for R.A. position.Those who have submitted thesis can be considered for Extended SRF position<br />Preferred : Knowledge of computer programming and bioinformatics softwares.<br />Stipend : For R.A- Rs. 22,000/- p.m., plus admissible H.R.A. and Medical benefit. For Extended SRF - Rs. 20,000/- p.m., plus admissible H.R.A.and Medical benefit.<br />Age : For R.A- Below 35 years; For Extended SRF - Below 33 years<br />Interested and eligible candidates should appear before the Selection Committee with atyped application addressed to the Sr.Prof. &amp; In-Charge, Registrar's Office, Bose Institute, P- 1/12, CIT Scheme VII-M, Kankurgachi, Kolkata-700054 along with Bio-data giving details of qualification i.e. examination passed, year, division, percentage of marks from Secondary onwards with attested copies of Certificates, Mark-Sheet and testimonials. The candidates should also bring the original mark-sheets, certificates etc. at the time of Interview.</p>

<p>Walk in Interview : 04.03.15</p>

<p>More at http://www.boseinst.ernet.in/ADVT/14/p_34.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40549/mgse-mapping-based-genome-size-estimation</guid>
	<pubDate>Fri, 17 Jan 2020 02:11:43 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40549/mgse-mapping-based-genome-size-estimation</link>
	<title><![CDATA[MGSE: Mapping-based Genome Size Estimation]]></title>
	<description><![CDATA[<p>MGSE can harness the power of files generated in genome sequencing projects to predict the genome size. Required are the FASTA file containing a high continuity assembly and a BAM file with all available reads mapped to this assembly. The script construct_cov_file.py (https://doi.org/10.1186/s12864-018-5360-z) allows the generation of a COV file based on the (sorted) BAM file (also possible via MGSE directly). Next, this COV file can be used by MGSE to calculate the coverage in provided reference regions and to calculate the total number of mapped bases. Both values are subjected to the genome size estimation. Providing accurate reference regions is crucial for this genome size estimation.</p><p>Address of the bookmark: <a href="https://github.com/bpucker/MGSE" rel="nofollow">https://github.com/bpucker/MGSE</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21619/research-associate-biotechnologyjrflab-assistant-indian-institute-of-vegetable-research-iivr-varanasi-uttar-pradesh</guid>
  <pubDate>Wed, 11 Mar 2015 08:59:27 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Biotechnology/JRF/Lab. Assistant  Indian Institute of Vegetable Research (IIVR) - Varanasi, Uttar Pradesh]]></title>
  <description><![CDATA[
<p>F. No.: 2-19/2011-Adm.I </p>

<p>Research Associate Biotechnology /JRF / Lab. Assistant recruitment in Indian Institute of Vegetable Research </p>

<p>Project:<br />Genomics assisted selection of Solanum chilense introgression lines for enhancing drought tolerance in tomato <br />Post Name : Research Associate <br />Qualification : Ph.D in Biotechnology/ Bioinformatics/Genetics &amp; Plant Breeding. M. Tech in Computer Science with at least one research paper in science citation indexed journal. Desirable: Experience in bioinformatics and next generation sequence data handling. Familiarity in Linux, R, Perl/Phython or other programming languages. Willingness to travel to European partner centers. </p>

<p>Pay Scale : Rs. 36000 for 1st and 2nd year as per rules for Research Associate. Rs. 25000/- for 1st and 2nd year and Rs. 28000 as per rules for Junior Research Fellow. Rs. 7000/- for Lab. Assistant. </p>

<p>Age : Not more than 35 years for Men and 40 years for Women (Relaxable for SC/ST/OBC/PH candidates as per rules) for Research Associate/ Junior Research Fellow. Minimum age will be 21 years and maximum age will be 45 years (Relaxable for SC/ST/OBC/PH candidates as per rules) for Lab.Assistant.</p>

<p>More at http://iivr.org.in/Job%20Oppurtunities/RA20.03.2015.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41330/u-plot-genome-u-plot-sample-implementation</guid>
	<pubDate>Tue, 03 Mar 2020 01:39:12 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41330/u-plot-genome-u-plot-sample-implementation</link>
	<title><![CDATA[U-Plot: Genome U-Plot sample implementation]]></title>
	<description><![CDATA[<p>The Genome U-Plot is a JavaScript tool to visualize Chromosomal abnormalities in the Human Genome using a U-shape layout.</p>
<p><img src="https://raw.githubusercontent.com/gaitat/GenomeUPlot/master/public/data/LNCAP.png" alt="image" style="border: 0px;"></p><p>Address of the bookmark: <a href="https://github.com/gaitat/GenomeUPlot" rel="nofollow">https://github.com/gaitat/GenomeUPlot</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23626/walk-ins-for-ra-jrf-and-srf-post-in-nbagr-karnal</guid>
  <pubDate>Tue, 04 Aug 2015 18:50:07 -0500</pubDate>
  <link></link>
  <title><![CDATA[Walk-ins for RA, JRF and SRF post in NBAGR, Karnal]]></title>
  <description><![CDATA[
<p>ICAR-NATIONAL BUREAU OF ANIMAL GENETIC RESOURCES<br />Near Basant Vihar G.T. Road Bypass P.O. Box No.129,<br />Karnal-132001 (Haryana)</p>

<p>A walk-in-Interview is proposed to be held at National Bureau of Animal Genetic Resources, Karnal (Haryana)-132001 at 10:30 AM on 19.08.2015 to select One Research Associate &amp; Three Senior Research Fellow as per details given below:</p>

<p>Name of the project &amp; project period: ICAR Consortium Platform on Genomics.</p>

<p>The post duration is Upto 31.03.2017 or earlier &amp; Co-terminus with the project.</p>

<p>Upto 31.03.2017 or earlier and Coterminus with the project</p>

<p>Essential Qualifications: PhD degree in Bioinformatics OR Master’s degree in Bioinformatics with 4 years/5 years of Bachelor’s degree having 1st division or 60% marks or equivalent overall grade point average, with at least two years of research experience as evidenced from Fellowship/Associateship</p>

<p>Desirable: Working experience in Next Generation Sequencing data analysis</p>

<p>Emolument: Research Associates may be fixed at a consolidated amount at one of the two pay levels given below depending upon the qualification &amp; experience.</p>

<p>I. Research Associate – Master Degree Holders Rs. 38,000/ + HRA II. Research Associate – Doctoral Degree Holder Rs. 40,000/ + HRA</p>

<p>Senior Research Fellow: Two:- Bioinformatics One: - Biotechnology.</p>

<p>Duration of engagement: Upto 31.03.2017 or earlier and Coterminus with the project</p>

<p>Essential Qualifications: Master degree in any one of discipline/ Subjects- Biotechnology/Bioinformatics with 4 years/5 years of Bachelor’s degree.</p>

<p>Candidates having post graduate degree in above mentioned subjects with 3 years Bachelor’s degree should have NET qualification.</p>

<p>Desirable: The candidates should have zeal to work in R environment and NGS data analysis Emolument: Rs. 28,000/- per month + HRA as per admissibility</p>

<p>Age Limit: 1. 40 year for Men and 45 years for Women in case of RA on the date of Interview. 2. 35 year for Men and 40 years for Women in case of SRF on the date of Interview. (Relaxation for SC/ST/OBC and PHC as per GOI/ICAR rules) The above positions are purely temporary and will be filled in on Contractual basis. The selected candidate shall have no right/claim for regular appointment at this Institute, as the engagement is co-terminus with the Project/Scheme.</p>

<p>Interested candidates may attend Walk-in-Interview at 10:30 AM on 19.08.2015 alongwith original certificates and typed bio-data with one set of attested copies of each their certificates with passport size photograph. No TA/DA will be paid for attending the interview. All eligible candidates are advised to be present at least 30 minutes before scheduled time on the date of interview for completing necessary formalities. Canvassing in any form will disqualify the candidates. </p>

<p>More at http://210.212.93.85/Advertisiment3.pdf</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>
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