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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/17176?offset=1180</link>
	<atom:link href="https://bioinformaticsonline.com/related/17176?offset=1180" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4945/national-training-on-bioinformatics-computational-tools-for-microbial-research-nov-19-to-30-2013</guid>
  <pubDate>Fri, 27 Sep 2013 10:49:34 -0500</pubDate>
  <link></link>
  <title><![CDATA[National Training on Bioinformatics  Computational Tools for Microbial Research  Nov 19 to 30, 2013]]></title>
  <description><![CDATA[
<p>Agricultural research in modern scientific arena is being represented by proper integration among various research fields of biological, chemical and physical sciences, because this field encompasses many more complexities of biology in nature. In the era of fast accumulating biological data coming out from the research on many crop plants, live stocks and microbes and the impact of changing climate, habitat and other interrelations on these biological entities, bioinformatics has come forward across the globe to solve the problems of analysis, prediction, storage, management, pattern recognition, submission, retrieval and storage of the data to find out a fruitful outcome. This area is becoming increasingly important in the context of systems biology approach where a holistic approach is required to understand the biology and chemistry of the biological entities and their behavior during environmental interactions to resolve the harmful impact of biotic or abiotic causes on crop plants, animals, fishes, livestock sector, beneficial insects as well as microbes. The National Training program on ‘Computational Tools for Microbial Research” is an initiative for the capacity building of NARS scientists/researchers in this most emerging area and fast developing area of i.e. agricultural bioinformatics.</p>

<p>Contact The Director, National Bureau of Agriculturally Important Microorganisms, Kusmaur, Maunath Bhanjan-275101 (U.P.); Phone: 0547-2530080, Fax: 0547-2530358, e mail: nbaimicar@gmail.com; website: www.nbaim.org.in OR</p>

<p>Dr. Dhananjaya P. Singh, Senior Scientist &amp; CCPI, NABG project, NBAIM, Maunath Bhanjan, 275101; Mob.- 09415291703; e mail - dpsfarm@rediffmail.com, nabg.nbaim@gmail.com </p>

<p>More at http://www.nbaim.org.in/Announc.aspx?cd=36</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4725/complex-systems-from-physics-to-biology-october-15-16-2013-at-jnu-convention-center</guid>
  <pubDate>Mon, 23 Sep 2013 10:17:17 -0500</pubDate>
  <link></link>
  <title><![CDATA[Complex Systems: From Physics to Biology October 15-16 2013 at JNU Convention Center]]></title>
  <description><![CDATA[
<p>The symposium intents to focus on complex systems arising in a variety of settings in physics and biology. In particular, applications of the concepts of physics to biological sciences will be the major theme of this meeting.</p>

<p>Selected Topics:</p>

<p>    Cluster Dynamics<br />    Non-equilibrium Statistical Mechanics<br />    Forced Systems<br />    Hamiltonian Dynamics<br />    Synchronization &amp; Control<br />    Genomics &amp; Systems Biology<br />    Computational Neuroscience<br />    Econophysics</p>

<p>More @ http://www.jnu.ac.in/Conference/SCS2013/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23924/embl-postdoc-position-in-bacterial-gene-gain-loss</guid>
  <pubDate>Thu, 20 Aug 2015 14:09:21 -0500</pubDate>
  <link></link>
  <title><![CDATA[EMBL Postdoc position in Bacterial Gene Gain Loss]]></title>
  <description><![CDATA[
<p>A post-doctoral fellowship is available in the research groups of Nick Goldman (EBI) and John Welch (Genetics Department, Cambridge University) under the EMBL-EBI / Cambridge Computational Biomedical Postdoctoral Fellowship scheme.</p>

<p>The project is on bacterial gene gain and loss and emerging pathogenicity, and is described in full here: https://www.ebi.ac.uk/research/postdocs/ebpods/projects/goldman-welch-2015 . The EMBL-EBI / Cambridge Computational Biomedical Postdoctoral (“EBPOD”) </p>

<p>The closing date for applications is 3 September 2015. Nick Goldman EMBL-European Bioinformatics Institute Nick Goldman </p>

<p>More at https://www.ebi.ac.uk/research/postdocs/ebpods/projects/goldman-welch-2015</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/863/rolland-lagan-lab</guid>
  <pubDate>Sun, 14 Jul 2013 12:57:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Rolland-Lagan lab]]></title>
  <description><![CDATA[
<p>The Rolland-Lagan lab at the University of Ottawa is specializing in computational and developmental biology. We use a combination of experimental work, microscopy, image analysis and computer simulations to explore developmental mechanisms in two and three dimensions. </p>

<p>Research Area</p>

<p>Developmental biology, Computational biology, Simulation modeling, Image data analysis</p>

<p>Link @ http://mysite.science.uottawa.ca/arolland/index.html</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41899/stay-at-home-revbayes-workshop</guid>
  <pubDate>Sat, 20 Jun 2020 11:53:24 -0500</pubDate>
  <link></link>
  <title><![CDATA[Stay-at-Home RevBayes Workshop]]></title>
  <description><![CDATA[
<p>Stay-at-Home RevBayes Workshop<br />Location: Anywhere (online-only event)<br />Dates: 7/13, 2020 to 8/12, 2020<br />Instructors: Joëlle Barido-Sottani, Walker Pett, Josh Justison, Wade Dismukes, Luiza Fabreti, Tracy Heath, Jeremy M. Brown, Rosana Zenil-Ferguson<br />Register: https://iastate.qualtrics.com/jfe/form/SV_02sCYRWbxYK9I5D</p>

<p>Description<br />This free online-only RevBayes workshop will provide an introduction to the theory and use of RevBayes, with a focus on (1) tree inference from molecular data, (2) analyses combining fossil and extant taxa, and (3) evaluating MCMC performance, with advanced topics including assessing model adequacy and macroevolutionary analyses. Additional topics may be added depending on the interests of selected participants. The format will be a combination of interactive video sessions (via Zoom or similar tools), real-time discussions over Slack, self-guided tutorials, and pre-recorded videos.</p>

<p>The initial session will resolve technical issues and present the basics of using RevBayes. Participants will then be expected to work through several tutorials on their own schedule, with the help of pre-recorded materials. A Slack forum will be open for questions and issues. The workshop will conclude with several online Q&amp;A sessions with the instructors. The dates for the interactive sessions are currently tentative and may be adjusted depending on the schedules of the participants and instructors.</p>

<p>We are hoping to identify up to 15 participants for this online course. While we hope we are able to accommodate everyone who applies, we realize that this may not be possible because of time-zones and availability. If the number of applicants exceeds our capacity, we hope to organize a second round of sessions later in the year. Participants will not be charged for the course, but we will request that they commit to completing the tutorials and attending a majority of interactive sessions.</p>

<p>To apply to this course, please go to the registration form and submit your application by July 6, 2020.</p>

<p>More at https://revbayes.github.io/workshops/online2020.html</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5403/research-associate-icgeb-new-delhi</guid>
  <pubDate>Wed, 09 Oct 2013 13:49:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate @ ICGEB, New Delhi.]]></title>
  <description><![CDATA[
<p>Applications are invited for Research Associate position in the DBT Sponsored Bioinformatics Infrastructure Facility at ICGEB, New Delhi.</p>

<p>Essential requirements: Experience of using bioinformatics tools.</p>

<p>Experience of working in Linux. Basic knowledge of computer network administration.</p>

<p>Desirable: Knowledge of Linux installation/administration and proficiency in either of the following:</p>

<p>Shell/PERL/Java/Python/VB/Oracle/MySQL/C/CUDA.</p>

<p>Qualification: PhD. or First class M.Sc degree in Bioinformatics or Biotechnology/life science with specialization in Bioinformatics.</p>

<p>Fellowships: Rs 22,000/- with HRA for PhD qualified, Rs 16000/- with HRA for NET/BET/BINC/GATE qualified and 12000/- with HRA for non NET qualified applicants.</p>

<p>Interested candidates may send their complete biodata along with a write-up of their experience and suitability for the position to Dr. Dinesh Gupta by email only to dinesh@icgeb.res.in within 15 days of publication of this advertisement. Kindly mark the email with subject “Application for BIF-RA-2013”</p>

<p>Closing date for applications: 18 October 2013</p>

<p>Only short listed candidates will be invited for an interview at ICGEB.</p>

<p>No TA/DA will be paid for attending the interview.</p>

<p>Advertisement: http://www.icgeb.org/tl_files/Vacancies/BIF-RA-Advt.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40946/free-genomics-data</guid>
	<pubDate>Fri, 07 Feb 2020 14:08:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40946/free-genomics-data</link>
	<title><![CDATA[Free Genomics data !]]></title>
	<description><![CDATA[<p><span>The specimens were collected by the Oxford Wytham Woods and Edinburgh Lohse lab teams. DNA extraction and sequencing was carried out by the Sanger Institute Scientific Operations teams. Assemblies were carried out by the Tree of Life team (Shane McCarthy) and colleagues in Pacific Biosciences (Jonas Korlach).</span></p>
<p><a href="https://www.darwintreeoflife.org/an-initial-set-of-raw-genome-assemblies-from-the-darwin-tree-of-life-project/">https://www.darwintreeoflife.org/an-initial-set-of-raw-genome-assemblies-from-the-darwin-tree-of-life-project/</a></p><p>Address of the bookmark: <a href="https://www.darwintreeoflife.org/an-initial-set-of-raw-genome-assemblies-from-the-darwin-tree-of-life-project/" rel="nofollow">https://www.darwintreeoflife.org/an-initial-set-of-raw-genome-assemblies-from-the-darwin-tree-of-life-project/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5574/srfjrfra-university-of-hyderabad</guid>
  <pubDate>Mon, 14 Oct 2013 07:49:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF/RA @ UNIVERSITY OF HYDERABAD]]></title>
  <description><![CDATA[
<p>SCHOOL OF CHEMISTRY, UNIVERSITY OF HYDERABAD</p>

<p>Applications on plain paper along with details of CV (relevant photocopies of their<br />qualifications/experience and reprints of published work to be attached) are invited from qualified candidates for Research Fellowship in CSIR- sponsored research project.</p>

<p>JRF/SRF/RA (one vacancy)</p>

<p>CSIR sponsored “In silico design, identification and in vitro validation of lead molecule inhibitors to Bcr-Abl kinase”</p>

<p>JRF: M.Sc in Chemistry/ Bioinformatics/ Biotechnology with I division and NET or GATE qualified</p>

<p>SRF: M.Sc in chemistry/ Bioinformatics/ Biotechnology with at least two years of post- M.Sc research experience as evidenced from published papers in standard refereed journals in relevant area</p>

<p>RA: PhD in chemistry/ Bioinformatics/ Biotechnology with research experience in<br />relevant area.</p>

<p>As per CSIR guidelines</p>

<p>Notes:<br />1) You may visit the University of Hyderabad website www.uohyd.ernet.in to learn more about the University of Hyderabad.<br />2) Applicants should note that the appointment to be made is purely temporary and there is no right for claiming for any regular appointment in the University.<br />3) No TA/DA will be paid for attending the interview or at the time of joining the post, if selected.<br />4) The application should be submitted by post/courier/in-person to the address given below on or before November 1st 2013.</p>

<p>Prof. Lalitha Guruprasad<br />W-103, Gurbakhsh Singh Building<br />School of Chemistry<br />University of Hyderabad<br />Hyderabad- 500 046<br />5) Short-listed candidates will be called for interview at a short notice.</p>

<p>Advertisement: http://www.uohyd.ac.in/images/recruitment/chemisry_advt_101013.pdf</p>
]]></description>
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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/5947/jrf-national-jalma-institute-of-leprosy-and-other-mycobacterial-diseases</guid>
  <pubDate>Mon, 28 Oct 2013 10:42:48 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF @ NATIONAL JALMA INSTITUTE OF LEPROSY AND OTHER MYCOBACTERIAL DISEASES]]></title>
  <description><![CDATA[
<p>NATIONAL JALMA INSTITUTE OF LEPROSY AND OTHER MYCOBACTERIAL DISEASES</p>

<p>(INDIAN COUNCIL OF MEDICAL RESEARCH)</p>

<p>P.O BOX 101,<br />Dr. M. Miyazaki Marg,<br />Tajganj, Agra - 282001</p>

<p>Applications are invited for a walk-in interview to be held in the Seminar Hall of the on 15th November, 2013, 9:30 am for temporary positions of JRF, Lab Technician and Field attendant in a ICMR funded project entitled "Elucidating the strain differentiation and transmission dynamics of M. leprae through simple sequence repeats ISSR-PCR marker"</p>

<p>1. JRF (one Post)</p>

<p>    Essential qualification: Candidates with M.Sc/IVI.Tech or equivalent degree in any life science related subjects with UGC-CSIR/ICMR/DBT-Net qualified</p>

<p>    Desirable qualification: Experience in Molecular Biology/Computational Biology will be preferred.</p>

<p>    Age. Maximum 28 years as on 11.11.2013. Age relaxation as per GOI rules.</p>

<p>    Emoluments: Rs. 6,000 + 20% HRA per Month</p>

<p>2. Lab Technician (One Post)</p>

<p>    Essential Qualification: 12th with DMLT/B.SCA4.SC in Life sciences</p>

<p>    Desirable qualification: Experience in Molecular Biology/Computational Biology will be preferred.</p>

<p>    Age: Maximum 30 years as on 11.11.2013. Age relaxation as per GOI rules.</p>

<p>    Emoluments: Rs13,760/ Per Month</p>

<p>3. Field Attendant (One Post)</p>

<p>Essential Qualification: 10th Pass</p>

<p>Desirable Qualification: Experience in field work</p>

<p>Age: Maximum 28 years as on 11.11.2013. Age relaxation as per GOI rules.</p>

<p>Emoluments: Rsl2,040l Per Month</p>

<p>Terms: posts are purely temporary. Appointment will be initially made for a period of one (01) year and may be extended further based on the performance of the candidate up to completion of the project.</p>

<p>Application &amp; Selection procedure: candidates have to appear in the walk-in-interview in person along with an application/CV on plain paper giving details of at educational qualificationq experience and submit photocopies of relevant documents at the time of interview. Selection will be based on the performance of the candidate in the interview' Candidates will not be sent any interview call letter separately. No TA/DA will be paid to the candidate for appearing in the interview. selection is not possible without appearing in the interview. All candidates must report by 9:00am on the date of interview. Advance copy of CV may be sent to m.sarathipartha@gmail.com</p>

<p>Advertisement: http://www.jalma-icmr.org.in/P_S_M_advertisment.pdf</p>
]]></description>
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