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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31881?offset=800</link>
	<atom:link href="https://bioinformaticsonline.com/related/31881?offset=800" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21934/ra-bioinformatics-at-bose-institute</guid>
  <pubDate>Tue, 07 Apr 2015 03:30:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at Bose Institute]]></title>
  <description><![CDATA[
<p>Bose Institute, Kolkata, invites online applications from Indian Citizens for recruitment of Research Associate (05 posts) under Institute Plan Programmes : Improvement of Plants : Biotechnological, Genomic and Proteomic Approaches (programme No. – I), Bioinformatics and Computational Biology (programme No. – III), Microbial Genomics and Infection Biology (programme No. – V) and Basic &amp; Applied Problems in Physical and Environmental Sciences (programme No. – VII). All the posts are tenable for one (01) year.</p>

<p>ESSENTIAL QUALIFICATION: PH.D. DEGREE IN LIFE SCIENCES / PHYSICAL SCIENCE.</p>

<p>Research Associate for Programme No. –I Specialization in the area of plant molecular biology or plant proteomic study or plant pathogen interaction.<br />Research Associate for Programme No. –I Specialization in the area of plant / fungal Biotechnology, tissue culture and molecular biology<br />Research Associate for Programme No. –III Specialization in the area of structural biology and protein crystallography.<br />Research Associate for Programme No. – V Specialization in the area of microbial physiology (metabolism) or environmental microbiology, with experience in microbial genomics and proteomics.<br />Research Associate for Programme No. – VII Specialization in the area of Theoretical High Energy Astrophysics or Astroparticle Physics. Proven record of independent research experience in Astrophysical<br />Radiation Magnetohydrodynamics or Cosmic Ray Astrophysics. Experience in numerical techniques and /or date analysis would be additional advantage.<br />Associateship : 22,000/- p.m., plus admissible H.R.A. and Medical benefit.<br />Age: Below 3 Age : Below 35 years (Relaxable in case of SC/ST/OBC/Women candidates only as per rule).<br />SELECTION PROCEDURE FOR BOSE INSTITUTE- RESEARCH ASSOCIATE POST:</p>

<p>Candidates can apply on or before 13/4/2015.<br />No detailed information about the selection procedure is mentioned in the recruitment notification.<br />HOW TO APPLY FOR RESEARCH ASSOCIATE VACANCY IN BOSE INSTITUTE:</p>

<p>Interested and eligible candidates may read the application procedures and instructions carefully before applying through online as well as submitting the hard copy of the same. Candidates those who has submitted their Ph.D. Thesis and can produce Provisional Ph.D. Certificate at the time of Interview may also apply </p>

<p>Ref<br />Bose Institute Recruitment 2015 –  ADVT. NO. : BI/IF/35/2014-15.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43909/human-complete-genome</guid>
	<pubDate>Wed, 06 Jul 2022 06:42:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43909/human-complete-genome</link>
	<title><![CDATA[Human Complete Genome]]></title>
	<description><![CDATA[<h1 dir="auto">Telomere-to-telomere consortium</h1>
<p dir="auto">We have sequenced the CHM13hTERT human cell line with a number of technologies. Human genomic DNA was extracted from the cultured cell line. As the DNA is native, modified bases will be preserved. The data includes 30x&nbsp;<a href="https://www.pacb.com/">PacBio</a>&nbsp;<a href="https://www.ncbi.nlm.nih.gov/sra/?term=SRX789768*+CHM13">HiFi</a>, 120x coverage of&nbsp;<a href="https://nanoporetech.com/">Oxford Nanopore</a>, 70x&nbsp;<a href="https://www.pacb.com/">PacBio</a>&nbsp;CLR, 50x&nbsp;<a href="https://www.10xgenomics.com/">10X Genomics</a>, as well as&nbsp;<a href="https://bionanogenomics.com/technology/dls-technology/">BioNano DLS</a>&nbsp;and&nbsp;<a href="https://arimagenomics.com/kit/">Arima Genomics HiC</a>. Most raw data is available from this site, with the exception of the PacBio data which was generated by the University of Washington/PacBio and is available from&nbsp;<a href="https://www.ncbi.nlm.nih.gov/sra?linkname=bioproject_sra_all&amp;from_uid=269593">NCBI SRA</a>.</p>
<p dir="auto">A UCSC browser is available for&nbsp;<a href="https://genome.ucsc.edu/h/GCA_009914755.4">v2.0</a>&nbsp;(as well as legacy&nbsp;<a href="http://genome.ucsc.edu/cgi-bin/hgTracks?genome=t2t-chm13-v1.0&amp;hubUrl=http://t2t.gi.ucsc.edu/chm13/hub/hub.txt">v1.0</a>&nbsp;and&nbsp;<a href="http://genome.ucsc.edu/cgi-bin/hgTracks?genome=t2t-chm13-v1.1&amp;hubUrl=http://t2t.gi.ucsc.edu/chm13/hub/hub.txt">v1.1</a>&nbsp;versions). An interactive dotplot visualization of all genomic repeats is also available from&nbsp;<a href="https://resgen.io/paper-data/T2T-Nurk-et-al-2021/views/t2t-identity-v2">resgen.io</a>. Known issues identified in the assembly are tracked at&nbsp;<a href="https://github.com/marbl/CHM13-issues">CHM13 issues</a>.</p>
<p dir="auto">&nbsp;</p>
<p dir="auto">MORE at&nbsp;https://github.com/marbl/CHM13</p><p>Address of the bookmark: <a href="https://www.science.org/doi/10.1126/science.abj6987" rel="nofollow">https://www.science.org/doi/10.1126/science.abj6987</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/poll/view/21982/which-bioinformatics-journals-do-you-follow</guid>
	<pubDate>Fri, 10 Apr 2015 12:10:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/poll/view/21982/which-bioinformatics-journals-do-you-follow</link>
	<title><![CDATA[Which Bioinformatics Journals Do You Follow?]]></title>
	<description><![CDATA[<p><span><span>Which are your favorite bioinformatics journals? The ones that you check every month or so, or that you are subscribed to?</span></span></p>]]></description>
	<dc:creator>Tenzin Paul</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44322/genome-context-viewer-gcv</guid>
	<pubDate>Sun, 21 May 2023 19:33:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44322/genome-context-viewer-gcv</link>
	<title><![CDATA[Genome Context Viewer (GCV)]]></title>
	<description><![CDATA[<p><span>The Genome Context Viewer (GCV) is a web-app that visualizes genomic context data provided by third party services. Specifically, it uses functional annotations as a unit of search and comparison. By adopting a common set of annotations, data-store operators can deploy federated instances of GCV, allowing users to compare genomes from different providers in a single interface.</span></p><p>Address of the bookmark: <a href="https://github.com/legumeinfo/gcv" rel="nofollow">https://github.com/legumeinfo/gcv</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22028/walk-in-for-research-asst-programmer-enterovirus-research-centre-mumbai-india</guid>
  <pubDate>Tue, 14 Apr 2015 12:36:51 -0500</pubDate>
  <link></link>
  <title><![CDATA[Walk in for Research Asst &amp; Programmer Enterovirus Research Centre Mumbai - India]]></title>
  <description><![CDATA[
<p>Enterovirus Research Centre Mumbai Jobs 2015 –</p>

<p>Walk in for Research Asst &amp; Programmer Posts: Enterovirus Research Centre, Mumbai, Indian Council of Medical Research has issued notification for the recruitment of Research Asst &amp; Programmer vacancies on temporary basis for the project entitled “An Atlas of Non-Polio Enterovirus Types Isolated from Cases of Acute Flaccid Paralysis in India”. Eligible candidates may walk in on 20-04-2015 from 10:00 AM to 12:00 Noon. Other details like age limit, educational qualification, how to apply are given below…</p>

<p>Enterovirus Research Centre Mumbai Vacancy Details:<br />Total No. of Posts: 04<br />Name of the Posts:<br />1. Research Assistant: 03 Posts<br />2. Programmer: 01 Post</p>

<p>Age Limit: Candidates age should below 28 years. Age relaxations are applicable as per rules.</p>

<p>Educational Qualification: Candidates should have M.Sc (1st Class) in Microbiology/ Bioinformatics/ Biotechnology/ Life Science for post 1, BE/ B.Tech/ MCA for post 2.</p>

<p>Selection Process: Candidates are selected based on their performance in interview.</p>

<p>How to Apply: Eligible candidates may attend for interview along with original certificates, CV, attested copies of relevant certificates, one recent passport size photograph duly affixed on right side of application at Enterovirus Research Centre, Mumbai, Indian Council of Medical Research, Haffkine Institute Cmpound, Acharya Donde Marg, Parel, Mumbai-400012 on 20-04-2015 from 10:00 AM to 12:00 Noon.</p>

<p>Important Dates:<br />Date &amp; Time of Interview: 20-04-2015 from 10:00 AM to 12:00 Noon.<br />Registration Time: 12:00 Noon.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/22050/binc-sample-question-paper</guid>
	<pubDate>Thu, 16 Apr 2015 09:15:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/22050/binc-sample-question-paper</link>
	<title><![CDATA[BINC Sample Question Paper !!!]]></title>
	<description><![CDATA[<p>BINC sample question paper round THREE ...</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/22050" length="316" type="text/plain" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44722/step-by-step-guide-to-running-genome-assembly</guid>
	<pubDate>Fri, 13 Dec 2024 11:35:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44722/step-by-step-guide-to-running-genome-assembly</link>
	<title><![CDATA[Step-by-Step Guide to Running Genome Assembly]]></title>
	<description><![CDATA[<p>Genome assembly is a critical process in bioinformatics, enabling the reconstruction of an organism's genome from short DNA sequence reads. Whether you&rsquo;re working on a new microbial genome or a complex eukaryotic organism, this guide will walk you through the steps of genome assembly using state-of-the-art tools and best practices.</p><h4><strong>What is Genome Assembly?</strong></h4><p>Genome assembly involves piecing together short DNA sequence reads generated by sequencing platforms (e.g., Illumina, PacBio, Oxford Nanopore) into longer, contiguous sequences called contigs. This can be performed as:</p><ul>
<li><strong>De Novo Assembly</strong>: Without a reference genome.</li>
<li><strong>Reference-Guided Assembly</strong>: Using a reference genome to guide the assembly process.</li>
</ul><h4><strong>Step 1: Preparing Your Data</strong></h4><p>Before starting the assembly, ensure that your raw sequencing data is high quality.</p><ol>
<li>
<p><strong>Input Data</strong></p>
<ul>
<li><strong>Short Reads</strong>: Illumina sequencing generates short, accurate reads ideal for scaffolding.</li>
<li><strong>Long Reads</strong>: PacBio and Nanopore sequencing provide long reads for resolving repetitive regions.</li>
</ul>
</li>
<li>
<p><strong>Quality Control (QC)</strong><br />Use tools like <strong>FastQC</strong> or <strong>MultiQC</strong> to assess the quality of your reads:</p>
<div>
<div dir="ltr"><code>fastqc reads.fastq multiqc . </code></div>
</div>
<p>Look for issues like low-quality bases, adapter contamination, or overrepresented sequences.</p>
</li>
<li>
<p><strong>Read Trimming and Filtering</strong><br />Trim low-quality bases and adapters using <strong>Trimmomatic</strong> or <strong>Cutadapt</strong>:</p>
<div>
<div dir="ltr"><code>trimmomatic PE reads_R1.fastq reads_R2.fastq trimmed_R1.fastq trimmed_R2.fastq \ ILLUMINACLIP:adapters.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:20 MINLEN:36 </code></div>
</div>
</li>
</ol><h4><strong>Step 2: Choosing an Assembly Strategy</strong></h4><p>Select an assembly strategy based on your data type:</p><ul>
<li>
<p><strong>Short-Read Assemblers</strong>:</p>
<ul>
<li>SPAdes: Popular for microbial genomes.</li>
<li>Velvet: Fast for smaller genomes.</li>
</ul>
</li>
<li>
<p><strong>Long-Read Assemblers</strong>:</p>
<ul>
<li>Canu: Ideal for long-read datasets.</li>
<li>Flye: Versatile for small and large genomes.</li>
</ul>
</li>
<li>
<p><strong>Hybrid Assemblers</strong>:</p>
<ul>
<li>MaSuRCA: Combines short and long reads.</li>
<li>Unicycler: Optimized for bacterial genomes.</li>
</ul>
</li>
</ul><h4><strong>Step 3: Running the Assembly</strong></h4><h5><strong>3.1. SPAdes (Short-Read Assembly)</strong></h5><p>SPAdes is an excellent choice for small genomes, such as bacteria.</p><div><div dir="ltr"><code>spades.py -1 trimmed_R1.fastq -2 trimmed_R2.fastq -o spades_output </code></div></div><p>The output includes assembled contigs (<code>contigs.fasta</code>) and scaffolds (<code>scaffolds.fasta</code>).</p><h5><strong>3.2. Canu (Long-Read Assembly)</strong></h5><p>Canu is designed for high-error long reads from PacBio or Nanopore.</p><div><div dir="ltr"><code>canu -p genome -d canu_output genomeSize=4.7m -nanopore-raw reads.fastq </code></div></div><p>The output will be in <code>canu_output/genome.contigs.fasta</code>.</p><h5><strong>3.3. Hybrid Assembly with Unicycler</strong></h5><p>Unicycler combines short and long reads for improved assemblies.</p><div><div dir="ltr"><code>unicycler -1 trimmed_R1.fastq -2 trimmed_R2.fastq -l long_reads.fastq -o unicycler_output </code></div></div><h4><strong>Step 4: Assessing Assembly Quality</strong></h4><p>After assembly, evaluate its quality using the following tools:</p><ol>
<li>
<p><strong>QUAST</strong><br />QUAST generates assembly statistics, such as N50, genome size, and GC content:</p>
<div>
<div dir="ltr"><code>quast contigs.fasta -o quast_output </code></div>
</div>
</li>
<li>
<p><strong>BUSCO</strong><br />BUSCO checks genome completeness by identifying conserved genes:</p>
<div>
<div dir="ltr"><code>busco -i contigs.fasta -o busco_output -l fungi_odb10 -m genome </code></div>
</div>
</li>
<li>
<p><strong>Assembly Graph Visualization</strong><br />Visualize assembly graphs with <strong>Bandage</strong>:</p>
<div>
<div dir="ltr"><code>Bandage load assembly_graph.gfa </code></div>
</div>
</li>
</ol><hr><h4><strong>Step 5: Post-Assembly Steps</strong></h4><ol>
<li>
<p><strong>Polishing</strong><br />Improve assembly accuracy using tools like <strong>Pilon</strong> (for short reads) or <strong>Racon</strong> (for long reads).</p>
<div>
<div dir="ltr"><code>racon long_reads.fasta mapped_reads.sam contigs.fasta &gt; polished_contigs.fasta </code></div>
</div>
</li>
<li>
<p><strong>Scaffolding</strong><br />Link contigs into scaffolds using tools like <strong>SSPACE</strong> or <strong>Opera-LG</strong> if required.</p>
</li>
<li>
<p><strong>Annotation</strong><br />Annotate the assembled genome using <strong>Prokka</strong> for prokaryotes or <strong>Maker</strong> for eukaryotes.</p>
<div>
<div dir="ltr"><code>prokka --outdir annotation_output --prefix genome contigs.fasta </code></div>
</div>
</li>
</ol><h4><strong>Step 6: Sharing and Archiving</strong></h4><ol>
<li>
<p><strong>Submit to Public Repositories</strong><br />Share your assembly in databases like <strong>NCBI GenBank</strong>, <strong>ENA</strong>, or <strong>DDBJ</strong>.</p>
</li>
<li>
<p><strong>Metadata Preparation</strong><br />Include detailed metadata for your submission, such as organism name, sequencing platform, and coverage.</p>
</li>
</ol><h4><strong>Best Practices</strong></h4><ul>
<li>Always perform quality checks at each stage to ensure data integrity.</li>
<li>Use multiple tools to cross-validate results when working with complex genomes.</li>
<li>Document parameters and software versions for reproducibility.</li>
</ul><h4><strong>Conclusion</strong></h4><p>Genome assembly is a powerful process that transforms raw sequencing data into a coherent representation of an organism&rsquo;s genome. By following this step-by-step guide, you can successfully assemble genomes and uncover valuable biological insights. Whether you&rsquo;re assembling a microbial genome or tackling the complexities of a eukaryotic genome, these tools and strategies will set you on the path to success.</p>]]></description>
	<dc:creator>Abhi</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22130/senior-research-fellow-srf-bioinformatics-at-central-institute-for-research-on-buffaloes</guid>
  <pubDate>Sat, 18 Apr 2015 04:30:47 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow (SRF) Bioinformatics at Central Institute for Research on Buffaloes]]></title>
  <description><![CDATA[
<p>Senior Research Fellow (SRF) Bioinformatics at Central Institute for Research on Buffaloes<br />Address: Central Institute for Research on Buffaloes, Sirsa Road, Hisar<br />State: Haryana<br />Pay Scale: Post Graduate in subjects other than Veterinary Science Rs. 16000/- per month for 1st and 2nd year and Rs. 18000/- per month for 3rd year. Post Graduate in Veterinary Science Rs. 18000/- per month for 1st and 2nd Year and Rs. 20000/- per month for 3rd year.<br />Educational Requirements: Master’s degree in biotechnology/animal biotechnology, veterinary/animal biochemistry, veterinary microbiology or veterinary/animal physiology/Nano Technology/Bioinformatics or related area.<br />Qualifications: Ph.D in relevant field/experience of working in any research project<br />Details will be available at: http://www.cirb.res.in/attachments/195_Walk-in-Interview%20for%20Senior%20Research%20Fellow%20%28SRF%29%20%28On%20Dated%2020.4.2015%29.pdf<br />How To Apply: Interested candidates who fulfill the above conditions should report for interview with a copy of their bio-data, photocopy and original certificates and testimonials, other related material i.e. reports, documents, articles, etc., if any.<br />Date &amp; Time of Interview: 20.04.2015 at 11.00 hrs<br />Venue: CIRB, Hisar</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44775/genomic-architecture-surrounding-the-fusion-site-of-human-chromosome-2</guid>
	<pubDate>Tue, 04 Mar 2025 12:26:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44775/genomic-architecture-surrounding-the-fusion-site-of-human-chromosome-2</link>
	<title><![CDATA[Genomic architecture surrounding the fusion site of human chromosome 2]]></title>
	<description><![CDATA[<p>The article <strong>"Genomic Structure and Evolution of the Ancestral Chromosome Fusion Site in 2q13&ndash;2q14.1 and Paralogous Regions on Other Human Chromosomes (https://pmc.ncbi.nlm.nih.gov/articles/PMC187548/)"</strong> explores the genomic architecture surrounding the fusion site of human chromosome 2. This fusion event is a key evolutionary marker distinguishing humans from other great apes, as humans have 46 chromosomes while chimpanzees, gorillas, and orangutans possess 48. The fusion occurred through an end-to-end joining of two ancestral chromosomes, which remain separate in nonhuman primates.</p><h3><strong>Key Findings:</strong></h3><ol>
<li>
<p><strong>Chromosomal Fusion and Its Molecular Signature:</strong></p>
<ul>
<li>The fusion site is located at <strong>2q13&ndash;2q14.1</strong> and is characterized by <strong>degenerate telomeric sequences</strong> appearing interstitially, indicating the historical head-to-head joining of ancestral chromosomes.</li>
<li>Despite being a signature of a past fusion event, these telomeric repeats are no longer functional and have undergone sequence degradation over time.</li>
</ul>
</li>
<li>
<p><strong>Extensive Duplications in the Surrounding Genomic Region:</strong></p>
<ul>
<li>The study identifies <strong>large-scale segmental duplications</strong> flanking the fusion site, with several of these regions duplicated and scattered across multiple chromosomes.</li>
<li>These duplications are predominantly located in <strong>subtelomeric and pericentromeric regions</strong>, suggesting their role in genomic instability and chromosomal evolution.</li>
</ul>
</li>
<li>
<p><strong>Paralogous Regions and Their Evolutionary Relationships:</strong></p>
<ul>
<li>A <strong>168-kilobase (kb) segment</strong> near the fusion site has <strong>98%&ndash;99% sequence identity</strong> with three regions on <strong>chromosome 9 (9pter, 9p11.2, and 9q13)</strong>.</li>
<li>Another <strong>67-kb region distal to the fusion site</strong> shows a high degree of homology to sequences in <strong>chromosome 22qter</strong>.</li>
<li>Additionally, a <strong>100-kb segment</strong> exhibits <strong>96% sequence identity</strong> with a region in <strong>chromosome 2q11.2</strong>.</li>
</ul>
</li>
<li>
<p><strong>Comparative Genomics and Evolutionary Implications:</strong></p>
<ul>
<li>By comparing the duplicated sequences and their arrangement in primates, the researchers traced the order of duplication events leading to their present distribution.</li>
<li>The presence of specific repetitive elements within these duplicated segments serves as <strong>evolutionary markers</strong> that help infer their historical rearrangements.</li>
<li>Some of these <strong>duplicated regions are associated with chromosomal inversion breakpoints</strong>, potentially contributing to evolutionary changes in primates.</li>
<li>Recurrent <strong>structural rearrangements</strong> in these regions have been linked to human chromosomal disorders.</li>
</ul>
</li>
</ol><h3><strong>Conclusions and Implications:</strong></h3><ul>
<li>The findings provide valuable insights into <strong>the structural evolution of human chromosome 2</strong>, which played a crucial role in human speciation.</li>
<li>Understanding these <strong>segmental duplications</strong> and their evolutionary trajectories sheds light on <strong>genomic instability</strong>, which may contribute to <strong>human genetic diseases</strong>.</li>
<li>The study highlights how large-scale chromosomal rearrangements, such as fusion and duplication, have influenced the <strong>evolutionary divergence of humans</strong> from other primates.</li>
</ul><p>This research advances our understanding of <strong>human genome evolution</strong> and offers a foundation for studying the effects of <strong>structural variants in genetic disorders</strong>.</p>]]></description>
	<dc:creator>LEGE</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22236/savitribai-phule-pune-university-recruitment-for-04-jrf-post-in-april-2015</guid>
  <pubDate>Mon, 27 Apr 2015 20:28:59 -0500</pubDate>
  <link></link>
  <title><![CDATA[Savitribai Phule Pune University Recruitment for 04 JRF Post in April 2015]]></title>
  <description><![CDATA[
<p>Savitribai Phule Pune University announced application for recruitment to the post of Junior Research Fellow. The candidates for the post can apply through prescribed format before 10 May 2015.<br />Description:</p>

<p>Important Date &amp; Details</p>

<p>Closing Date for Registration: 10 May 2015</p>

<p>Details of Post</p>

<p>Name of Post: Junior Research Fellow- 04 Posts</p>

<p>Pay Scale: Rs. 12,000 or 16,00+ HRA Post Graduate degree with NET (16,000+HRA) Post Graduate Degree (12,000+HRA)</p>

<p>Eligibility Criteria: M.Sc. in Microbiology/Marine Microbiology/ Marine Biotechnology/Biotechnology/Bioinformatics/Zoology or equivalent degree with minimum 60% marks or equivalent grade</p>

<p>Age Limit- Not more than 28 years</p>

<p>Organisation Name: Savitribai Phule Pune University<br />Eligibility for the post:</p>

<p>Selection Procedure: The selection procedure is through personal interview. No TA/DA will be paid for appearing in the interview.</p>

<p>How to Apply: The candidates may send their application along with CV to the Head Department of Zoology, Savitribai Phule University on or before 10 May 2015.</p>
]]></description>
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