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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31881?offset=810</link>
	<atom:link href="https://bioinformaticsonline.com/related/31881?offset=810" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/43762/vicoso-group</guid>
  <pubDate>Wed, 02 Feb 2022 02:51:27 -0600</pubDate>
  <link></link>
  <title><![CDATA[Vicoso group]]></title>
  <description><![CDATA[
<p>The Vicoso group investigates how sex chromosomes evolve over time, and what biological forces are driving their patterns of differentiation.</p>

<p>The Vicoso group is interested in understanding several aspects of the biology of sex chromosomes, and the evolutionary processes that shape their peculiar features. By combining the use of next-generation sequencing technologies with studies in several model and non-model organisms, they can address a variety of standing questions, such as: Why do some Y chromosomes degenerate while others remain homomorphic, and how does this relate to the extent of sexual dimorphism of the species? What forces drive some species to acquire global dosage compensation of the X, while others only compensate specific genes? What are the frequency and molecular dynamics of sex-chromosome turnover?</p>

<p>More at https://ist.ac.at/en/research/vicoso-group/<br />http://pub.ist.ac.at/~bvicoso/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21893/postdoctoral-fellowship-in-bioinformatics-and-evolutionary-genomics</guid>
  <pubDate>Wed, 01 Apr 2015 21:36:42 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Fellowship in Bioinformatics and Evolutionary Genomics]]></title>
  <description><![CDATA[
<p>Postdoctoral Fellowship in Bioinformatics and Evolutionary Genomics<br />Organization<br />National Human Genome Research Institute, National Institutes of Health<br />http://genome.gov/Staff/Baxevanis<br />Job Location<br />Bethesda, MD<br />Job Description</p>

<p>A postdoctoral training position is currently available in the Computational and Statistical Genomics Branch (CSGB) of the National Human Genome Research Institute (NHGRI). The position is located in the laboratory of Andy Baxevanis, Ph.D., whose research group uses comparative genomics approaches to better-understand the molecular innovations that drove the surge of diversity in early animal evolution. The overarching theme of Dr. Baxevanis’ research program is focused on how non-traditional animal models convey critical insights into human disease research.</p>

<p>Candidates should have or be close to obtaining a Ph.D. or equivalent degree in bioinformatics, computational biology, computer science, molecular biology, or a closely related field. Candidates with a background in evolutionary biology are particularly encouraged to apply. Programming skills and experience in the application of computational methods to genomic data are highly desirable. Applicants must possess good communication skills and be fluent in both spoken and written English. The ability to learn how to use new software and quickly become expert in its use, critical thinking, problem-solving abilities, and the ability to work semi-independently are required.<br />How to Apply</p>

<p>Interested applicants should submit a curriculum vitae, a detailed letter of interest, and the names of three potential referees to Dr. Baxevanis at andy@mail.nih.gov.<br />About Our Organization</p>

<p>The NIH Intramural Research Program is on the Bethesda, Maryland campus and offers a wide array of training opportunities for scientists early in their careers. The funding for this position is stable and offers the trainee wide latitude in the design and pursuit of their research project. The successful candidate will have access to NHGRI’s established and robust bioinformatics infrastructure, as well as resources made available through NIH’s Center for Information Technology (CIT) and the National Center for Biotechnology Information (NCBI).</p>

<p>For more information on CSGB and NHGRI’s Intramural Research Program, please see http://genome.gov/DIR/.</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43714/hiv-genome-database</guid>
	<pubDate>Fri, 21 Jan 2022 05:40:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43714/hiv-genome-database</link>
	<title><![CDATA[HIV genome database !]]></title>
	<description><![CDATA[<p>HIV resources</p>
<p>https://www.hiv.lanl.gov/components/sequence/HIV/search/search.html</p><p>Address of the bookmark: <a href="https://www.hiv.lanl.gov/components/sequence/HIV/search/search.html" rel="nofollow">https://www.hiv.lanl.gov/components/sequence/HIV/search/search.html</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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<item>
  <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>
</item>
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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>
</item>
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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>
</item>

<item>
  <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>
</item>
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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" />
</item>
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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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