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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30234?offset=1380</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23247/ra-at-csir-urdip</guid>
  <pubDate>Fri, 10 Jul 2015 18:34:03 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA at CSIR-URDIP]]></title>
  <description><![CDATA[
<p>CSIR - UNIT FOR RESEARCH AND DEVELOPMENT OF INFORMATION PRODUCTS (CSIR- URDIP)</p>

<p>Adv. No. URDIP/ 15/2015</p>

<p>Opportunity for young Bioinformatics Professionals to make a career in the area of Intellectual Property</p>

<p>CSIR has set up a Unit for Research and Development of Information Products (CSIRURDIP) at Pune to work in the area of scientific informatics. One of the major focus areas of research work at CSIR-URDIP is PATENT INFORMATICS. With the increasing applications of Bioinformatics in the areas of life sciences industry such as Agriculture and Health Care (Diagnostics and Drugs), the output of research in these area is being protected by different forms of Intellectual Property rights. Realizing the importance of IP in the Bioinformatics field, Department of Biotechnology (DBT) has sanctioned a project on “Development, Facilitation and Harvesting of Bioinformatics related Intellectual Property” at CSIR-URDIP.</p>

<p>The project will involve application of Patent Informatics tools and techniques to Bioinformatics (including creation of patent landscapes, preparation of techno-legal reports of patentability, freedom to operate studies) to help protect IPRs and develop and conduct training programmes on IPRs related to Bioinformatics.</p>

<p>CSIR-URDIP invites applications from young Bioinformatics professionals to work on this emerging area which offers challenging opportunities and attractive career possibilities in future.</p>

<p>Position I: Research Associate</p>

<p>No of Positions: One</p>

<p>Consolidated amount Payable: = Rs 26,400.00</p>

<p>Qualification: PhD in Bioinformatics. In exceptional cases, candidature of M. Tech. candidates with First class in Bioinformatics with three years of relevant work experience will also be considered.</p>

<p>Job requirement: The prospective candidate will be expected to identify patents/scientific literature in field of Bioinformatics, evaluate them Vis a Vis other patents in fields and come up landscape / FTO / Patentability reports.</p>

<p>Age Limit: 35 years. </p>

<p>The candidates meeting the above criteria may appear for walk in interview at their cost on Monday 13th July 2015 at 02:00 p.m. with the CV and supporting documents (original plus copies) at the following address: CSIR Unit or Research and Development of Information Products (URDIP), "Tapovan" S.No. 113 &amp; 114, Near NCL Colony Baner Side Gate, NCL Estate, Pashan Road, Pune-411008, Maharashtra, India</p>

<p>Advertisement: www.urdip.res.in/download/DBT_RA_Advt_July%202015.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43227/project-associate-i-project-associate-ii-senior-project-associate-igib</guid>
  <pubDate>Thu, 05 Aug 2021 16:11:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Associate-I | Project Associate-II | Senior Project Associate @ IGIB]]></title>
  <description><![CDATA[
<p>Experience in Next Generation Sequencing (NGS) application and interest in Genomics/ Clinical / Translational Applications. OR Good computational programming skills and deep interest in working on interface of Genomics and Clinical application. </p>

<p>Project Scientist-I <br />Experimental / Computation analysis experience in highthroughput genomics/ clinical application.</p>

<p>Project Manager <br />Experience in handling large biological projects involving high-throughput genomics/ clinical application.</p>

<p>Scientific Administrative Assistant <br />Lab Work. </p>

<p>More at https://vinodscaria.genomes.in/positionsopen</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23277/project-fellow-at-ihbt-palampur-himachal-pradesh</guid>
  <pubDate>Sun, 12 Jul 2015 07:54:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Fellow at IHBT - Palampur, Himachal Pradesh]]></title>
  <description><![CDATA[
<p>The Institute is working relentlessly on developing technologies for sustainable utilization of Himalayan bioresources, and in the area of tea, floriculture, bamboos and medicinal and aromatic plants. Looking at the mission of the Institute,the quantum of work undertaken and milestones achieved it was rightly conceived to rename the Institute from CSIR Complex Palampur to Institute of Himalayan Bioresource Technology at a high level meeting. Finally the Institute received its new name Institute of Himalayan Bioresource Technology (IHBT) in 1997 by then Prime Minister Shri H.D. Deve Gowda. Till date this is the only kind of National R&amp;D laboratory in the state of Himachal.</p>

<p>Detail Of Institute of Himalayan Bioresource Technology (IHBT) Project Fellow Recruitment:</p>

<p>No.of Posts: 02</p>

<p>Qualification : 1st Class B. Tech. in Bioinformatics/ Computational Biology Or M.Sc. in Bioinformatics/ Computational Biology with 55% marks OR M.Tech. in Bioinformatics/ Computational Biology with 55% marks.</p>

<p>Age : 28 years as on 10.06.2015</p>

<p>Pay Scale: Rs.12,000/- P.M/Rs.14,000/- P.M.</p>

<p>Age : 35 years,(Up to 40 years for members of SC/STs).</p>

<p>Selection Procedure For Institute of Himalayan Bioresource Technology (IHBT) – Project Fellow Post:</p>

<p>Written Test on 10/06/2015.</p>

<p>Shortlisted candidates will undertake face to face interview.</p>

<p>Dates are yet to be announced for the final selection</p>

<p>Walkin Procedure For Project Fellow vacancy in Institute of Himalayan Bioresource Technology (IHBT):</p>

<p>Eligible candidates may appear for Walk-in-Interview on Date : 10.06.2015, Time 9:00 A.M. Venue : CSIR- IHBT Palampur (H.P.) alongwith an application on prescribed format. Candidates must also bring with them original certificates of testimonials at the time of the appearing for interview failing which he/she will not be allowed to appear for interview.</p>

<p>Important Dates To Remember :<br />Walk in date for this job : 10/06/2015</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44758/the-ifs-and-buts-of-ngs-quality-control-and-trimming</guid>
	<pubDate>Thu, 02 Jan 2025 20:11:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44758/the-ifs-and-buts-of-ngs-quality-control-and-trimming</link>
	<title><![CDATA[The &quot;Ifs&quot; and &quot;Buts&quot; of NGS Quality Control and Trimming]]></title>
	<description><![CDATA[<p>Next-Generation Sequencing (NGS) has revolutionized biological research, providing vast amounts of data for a wide range of applications. However, the reliability of NGS analyses heavily depends on the quality of raw sequencing data. Quality control (QC) and trimming are critical preprocessing steps that can make or break your downstream analyses. In this blog, we explore the "ifs" (why you should perform QC and trimming) and the "buts" (challenges or considerations) of this vital step in NGS workflows.</p><h3><strong>The "Ifs" of NGS QC and Trimming</strong></h3><ol>
<li>
<p><strong>Ensures Data Integrity</strong><br />If you want to minimize errors in downstream analyses, QC and trimming remove low-quality reads and bases, ensuring high-confidence data. This step is essential for reliable variant calling, assembly, and other applications.</p>
</li>
<li>
<p><strong>Removes Contaminants</strong><br />If adapter sequences or contaminants are present in the raw reads, trimming can eliminate them. This prevents issues like misalignment or incorrect biological interpretations, ensuring cleaner data for analysis.</p>
</li>
<li>
<p><strong>Improves Mapping and Assembly</strong><br />If your goal is better alignment to a reference genome or improved de novo assembly, trimming low-quality bases and adapters is critical. High-quality reads map more efficiently and generate more accurate assemblies.</p>
</li>
<li>
<p><strong>Reduces Computational Load</strong><br />If you want to save computational resources, trimming reduces the dataset size, which speeds up processing and analysis. Clean datasets mean less computational time spent on processing low-quality data.</p>
</li>
<li>
<p><strong>Prepares for Standardized Analyses</strong><br />If your project involves multiple datasets, QC and trimming ensure uniformity across them. This standardization makes comparisons valid and reproducible, particularly in large collaborative studies.</p>
</li>
</ol><h3><strong>The "Buts" of NGS QC and Trimming</strong></h3><ol>
<li>
<p><strong>Risk of Over-Trimming</strong><br />But excessive trimming can lead to the loss of informative sequences, reducing read depth and potentially discarding biologically relevant data. This is especially critical in studies with limited sequencing depth.</p>
</li>
<li>
<p><strong>Bias Introduction</strong><br />But trimming algorithms might introduce biases, especially if they inadvertently remove sequences with specific biological patterns. This can skew results and compromise biological insights.</p>
</li>
<li>
<p><strong>Loss of Context in Paired-End Reads</strong><br />But trimming one read in a pair more than the other can lead to loss of pairing information. This complicates downstream analyses that rely on paired-end data, such as structural variant detection.</p>
</li>
<li>
<p><strong>Time and Resource Intensive</strong><br />But running QC and trimming for large datasets can be computationally expensive and time-consuming. As sequencing depth increases, preprocessing becomes a bottleneck in the analysis pipeline.</p>
</li>
<li>
<p><strong>Variable Standards</strong><br />But the criteria for trimming (e.g., quality threshold, minimum read length) can vary between tools and datasets. This variability may affect reproducibility and comparability of results across studies.</p>
</li>
</ol><h3><strong>Balancing the "Ifs" and "Buts"</strong></h3><p>To maximize the benefits of QC and trimming while mitigating the challenges, consider the following best practices:</p><ul>
<li>
<p><strong>Use QC Tools Wisely:</strong> Start with tools like <strong>FastQC</strong> to identify quality issues in your raw data. Visualizing quality metrics helps tailor your trimming parameters.</p>
</li>
<li>
<p><strong>Choose Reliable Trimming Tools:</strong> Tools like <strong>Trimmomatic</strong>, <strong>Cutadapt</strong>, and <strong>BBduk</strong> offer adaptive and customizable trimming options. Select one that aligns with your dataset and project goals.</p>
</li>
<li>
<p><strong>Set Reasonable Parameters:</strong> Avoid over-trimming by setting quality thresholds and minimum read lengths that balance data retention and quality improvement.</p>
</li>
<li>
<p><strong>Test Downstream Effects:</strong> Validate the impact of QC and trimming on downstream analyses, such as alignment efficiency, variant calling accuracy, or assembly quality.</p>
</li>
<li>
<p><strong>Document Your Workflow:</strong> Maintain detailed records of the parameters and tools used for QC and trimming. This ensures reproducibility and enables better troubleshooting.</p>
</li>
</ul><h3><strong>Conclusion</strong></h3><p>NGS quality control and trimming are essential steps to ensure reliable and accurate data for analysis. While the "ifs" highlight the clear benefits of these steps, the "buts" remind us of the potential pitfalls. By adopting best practices and carefully balancing these considerations, you can optimize your preprocessing workflow and unlock the full potential of your sequencing data.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23369/assistant-professor-professor-at-central-university-of-south-bihar</guid>
  <pubDate>Thu, 16 Jul 2015 22:36:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor/ Professor at Central University of South Bihar]]></title>
  <description><![CDATA[
<p>Central University of South Bihar</p>

<p>(Established under Central Universities Act, 2009)</p>

<p>BIT Campus, PO: B.V. College,</p>

<p>Patna – 800 014 (Bihar)</p>

<p>Employment Notice No. CUSB / 27 / Faculty / 2015</p>

<p>Appointment for Faculty Positions Applications in the prescribed form are invited from the eligible candidates for the following posts shown against the subjects to be filled up on regular/contract/re-employment after superannuation basis:</p>

<p>1 Bioinformatics - 03 Posts</p>

<p>2 Biotechnology – 02 Posts</p>

<p>12 Life Science – 04 Posts</p>

<p>The duly filled in application form, complete in all respect along with fee must be sent only by Speed post/Registered post/Courier to The Registrar, Central University of South Bihar, BIT Campus, P.O. : B.V. College, Patna-800014.</p>

<p>Last Date of Receiving Application 10th August, 2015</p>

<p>Advertisement:</p>

<p>http://cub.ac.in/index.php?option=com_content&amp;view=article&amp;id=31&amp;Itemid=157</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37835/variantbam-filtering-and-profiling-of-next-generational-sequencing-data-using-region-specific-rules</guid>
	<pubDate>Thu, 04 Oct 2018 16:30:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37835/variantbam-filtering-and-profiling-of-next-generational-sequencing-data-using-region-specific-rules</link>
	<title><![CDATA[VariantBam: Filtering and profiling of next-generational sequencing data using region-specific rules]]></title>
	<description><![CDATA[<p>VariantBam is a tool to extract/count specific sets of sequencing reads from next-generational sequencing files. To save money, disk space and I/O, one may not want to store an entire BAM on disk. In many cases, it would be more efficient to store only those read-pairs or reads who intersect some region around the variant locations. Alternatively, if your scientific question is focused on only one aspect of the data (e.g. breakpoints), many reads can be removed without losing the information relevant to the problem.</p>
<h5>&nbsp;</h5><p>Address of the bookmark: <a href="https://github.com/broadinstitute/VariantBam" rel="nofollow">https://github.com/broadinstitute/VariantBam</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23672/jrf-in-bioinformatics-rajiv-gandhi-centre-for-biotechnology-rgcb-thiruvananthapuram</guid>
  <pubDate>Sat, 08 Aug 2015 01:22:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF in Bioinformatics @ Rajiv Gandhi Centre for Biotechnology (RGCB), Thiruvananthapuram]]></title>
  <description><![CDATA[
<p>Rajiv Gandhi Centre for Biotechnology (RGCB), Thiruvananthapuram<br />Job Code: 060815(10)Y</p>

<p>Jr Research Fellow Posts At Rajiv Gandhi Centre for Biotechnology<br />Rajiv Gandhi Centre for Biotechnology (RGCB) invites applications to recruit on vacant posts of Junior Research Fellow (JRF). Applications against these Government Jobs can be submitted on or before 15 August 2015.</p>

<p>Rajiv Gandhi Centre for Biotechnology Vacancy 2015 Details<br />Name of the post – Junior Research Fellow (JRF)<br />Total vacancies –</p>

<p>Age Limit: Below 28 years as on 15-08-2015.</p>

<p>Qualification(s): Masters Degree in Life Sciences/Biotechnology/Bioinformatics.</p>

<p>How to Apply: Duly filled-in applications in prescribed application format along with copies of required documents should be reach to: Rajiv Gandhi Centre for Biotechnology Thycaud PO, Poojappura, Thiruvananthapuram – 695014, Kerala. </p>

<p>More at http://rgcb.res.in/temporary-position-available-10/</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39726/jackalope-a-swift-versatile-phylogenomic-and-high-throughput-sequencing-simulator</guid>
	<pubDate>Fri, 26 Jul 2019 00:58:12 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39726/jackalope-a-swift-versatile-phylogenomic-and-high-throughput-sequencing-simulator</link>
	<title><![CDATA[jackalope: A swift, versatile phylogenomic and high-throughput sequencing simulator]]></title>
	<description><![CDATA[<p><code>jackalope</code> simply and efficiently simulates (i) variants from reference genomes and (ii) reads from both Illumina and Pacific Biosciences (PacBio) platforms. It can either read reference genomes from FASTA files or simulate new ones. Genomic variants can be simulated using summary statistics, phylogenies, Variant Call Format (VCF) files, and coalescent simulations&mdash;the latter of which can include selection, recombination, and demographic fluctuations. <code>jackalope</code> can simulate single, paired-end, or mate-pair Illumina reads, as well as reads from Pacific Biosciences These simulations include sequencing errors, mapping qualities, multiplexing, and optical/PCR duplicates. All outputs can be written to standard file formats.</p>
<p><span>A swift, versatile phylogenomic and high-throughput sequencing simulator </span> <span><a href="https://jackalope.lucasnell.com">https://jackalope.lucasnell.com</a></span></p><p>Address of the bookmark: <a href="https://github.com/lucasnell/jackalope" rel="nofollow">https://github.com/lucasnell/jackalope</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23577/senior-research-fellow-srf-bioinformatics-at-aiims-india</guid>
  <pubDate>Tue, 04 Aug 2015 03:14:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow (SRF) Bioinformatics at AIIMS, India]]></title>
  <description><![CDATA[
<p>DEPARTMENT OF BIOTECHNOLOGY<br />ALL INDIA INSTITUTE OF MEDICAL SCIENCES<br />NEW DELHI-110029</p>

<p>Requirement of Senior Research Fellow Applications are invited for the following vacancy under Research project entitled “Exploiting temporal transcription profile, computational analysis and post-transcriptional gene silencing to identify and intercept interactions between host and dormant and actively replicating Mycobacterium tuberculosis”</p>

<p>Senior Research Fellow One</p>

<p>M.Sc. Degree in Biotechnology/ /Microbiology/Bioinformatics and 2 years research experience in the relevant field NET/GATE Qualification with at least 2 years research experience in M. tuberculosis culture and related techniques as well as transcriptome data generation and analysis.</p>

<p>1 year</p>

<p>1. Age relaxation for SC/ST/OBC/PH Candidates will be as per the government rules.</p>

<p>2. Qualification/degree should be from a reputed Institution/University.</p>

<p>3. Mere fulfilling the essential qualification/experience does not guarantee selection.</p>

<p>4. Canvassing in any form will be a disqualification.</p>

<p>5. No TA/DA will be paid either for attending the interview or joining the post.</p>

<p>Interested candidates are to submit their Curriculum Vitae by 5 PM on 17th August, 2015 to Room No.107, Department of Biotechnology, AIIMS, New Delhi-29.</p>

<p>Only shortlisted candidates will be notified by email for interview</p>

<p>Advertisement:</p>

<p>www.aiims.edu/images/pdf/recruitment/advertisement/advertisement%20of%20SRF_N1306.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</guid>
	<pubDate>Thu, 13 Feb 2020 00:20:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</link>
	<title><![CDATA[genomics public data links !]]></title>
	<description><![CDATA[<p>List of publically available databases on google server.</p>
<p>More at <a href="https://software.broadinstitute.org/gatk/download/bundle">https://software.broadinstitute.org/gatk/download/bundle</a></p>
<p><a href="ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/">ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/</a>.</p>
<p><a href="ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/">ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/</a></p><p>Address of the bookmark: <a href="https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1" rel="nofollow">https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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