<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30234?offset=940</link>
	<atom:link href="https://bioinformaticsonline.com/related/30234?offset=940" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43892/choosing-the-right-ngs-sequencing-instrument-for-your-study</guid>
	<pubDate>Wed, 15 Jun 2022 00:37:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43892/choosing-the-right-ngs-sequencing-instrument-for-your-study</link>
	<title><![CDATA[Choosing the Right NGS Sequencing Instrument for Your Study]]></title>
	<description><![CDATA[<p>The right sequencing instrument for your study depends on your project goal. Setting aside turnaround time and price, it essentially comes down to the numbers of reads and read length you need for your experiment. Below, we've described and compared metrics for each of the instruments available. If you&rsquo;re new to high-throughput sequencing and have questions about how you should design your sequencing run, fill out our&nbsp;<a href="https://genohub.com/ngs-consultation/"><span>free consultation form</span></a>&nbsp;and we'll get in touch with you to help.</p>
<p>More at&nbsp;https://genohub.com/ngs-instrument-guide/</p><p>Address of the bookmark: <a href="https://genohub.com/ngs-instrument-guide/" rel="nofollow">https://genohub.com/ngs-instrument-guide/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23627/ra-bioinformatics-at-nipgr</guid>
  <pubDate>Tue, 04 Aug 2015 18:53:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at NIPGR]]></title>
  <description><![CDATA[
<p>Applications are invited from suitable candidates for filling up one position of Research Associate (RA) in the Institute with Dr. Senthil-Kumar Muthappa, Scientist, NIPGR, in the scheme of "Short-Term Research Fellowship" programme. The position is completely on temporary basis with maximum duration of three years. The initial appointment will be for a period of one year, which can be curtailed or extended based on the performance of the candidate and discretion of the Competent Authority.</p>

<p>The candidate is expected to have experience in handling functional genomics tools to dissect defense responses against bacterial pathogens and drought stress tolerance. This project may involve use of bioinformatics tools, database development, large scale transcriptome profiling, virus-induced gene silencing and any other research work as assigned by the PI.</p>

<p>Qualification: Candidates having a Ph. D. degree in Bioinformatics/Plant Molecular Biology/Plant Physiology/Plant Pathology/Plant Breeding &amp; Genetics and strong publication record can apply. Candidates having prior work experience in using advanced molecular biology tools in laboratory with strong bioinformatics knowledge are preferred.</p>

<p>The Fellowship amount for the position will be given at par with the similar fellowships by DBT/DST.</p>

<p>NIPGR reserves the right to select the candidate against the above post depending upon the qualifications and experience of the candidate. Reservation of post shall be as per Govt. of India norms.</p>

<p>Eligible candidates may apply by sending hard copy of complete application in the given format with a cover letter showing interest and specifying the position. The attested copies of the mark-sheets, certificates, proof of research experience/publications are to be attached. The application should reach at the address given below within 15 days from the date of advertisement. The envelope must be superscribed by "Application for the post of RA under NIPGR Short-term research fellowship programme". No TA/DA will be paid for attending the interview.</p>

<p>ONLY hard copy of the application in the given format will be accepted.<br />www.nipgr.res.in/files/careers/format_RA2.doc</p>

<p>Dr. Senthil-Kumar Muthappa<br />Staff Scientist - III,<br />National Institute of Plant Genome Research (NIPGR)<br />Aruna Asaf Ali Marg, P.O. Box NO. 10531,<br />New Delhi - 110067</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44229/common-steps-for-reads-mapping</guid>
	<pubDate>Thu, 09 Mar 2023 02:48:02 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44229/common-steps-for-reads-mapping</link>
	<title><![CDATA[Common steps for reads mapping !]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><p>Mapping reads to a reference genome is an essential step in many types of genomic analysis, such as variant calling and gene expression analysis. Here are some general steps to follow for mapping reads to a genome:</p><ol>
<li>
<p>Choose a read mapper: There are many read mappers available, such as BWA, Bowtie, and HISAT2. Choose a mapper that is appropriate for your type of data and research question.</p>
</li>
<li>
<p>Index the reference genome: Before mapping reads, the reference genome needs to be indexed. This involves creating an index of the genome sequence that allows the mapper to quickly find matches to the reads. Most mappers have their own indexing tools.</p>
</li>
<li>
<p>Prepare the read data: The reads should be in a format that is compatible with the mapper. Most mappers accept FASTQ or BAM files. Depending on the quality of the data, it may need to be filtered or trimmed before mapping.</p>
</li>
<li>
<p>Run the mapper: The mapper is run with the command-line interface or using a graphical user interface. The specific command depends on the mapper being used, but typically involves specifying the input data, reference genome, and output file format.</p>
</li>
<li>
<p>Evaluate the mapping results: After the mapping is complete, the results should be evaluated. This includes assessing the quality of the mapping, such as the mapping rate, the number of mapped reads, and the mapping quality score.</p>
</li>
<li>
<p>Post-processing: Depending on the analysis being performed, post-processing of the mapped reads may be necessary. This can include filtering reads based on quality, removing duplicate reads, and calling variants.</p>
</li>
</ol><p>Overall, mapping reads to a reference genome is a complex process that requires careful consideration of the type of data, the research question, and the specific mapper being used.</p></div></div></div></div></div></div></div></div></div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/34711/1mb-long-dna-with-nanopore-technology</guid>
	<pubDate>Tue, 19 Dec 2017 18:49:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/34711/1mb-long-dna-with-nanopore-technology</link>
	<title><![CDATA[1mb long DNA with Nanopore technology]]></title>
	<description><![CDATA[<p>The first continuous DNA read of more than a million bases (&gt;1Mb) has been achieved, using Oxford Nanopore sequencing technology. Congratulations to Martin Smith and collaborators! Read more: http://bit.ly/2j5TNCO</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23379/jrf-in-bioinformatics-tezpur-universityn</guid>
  <pubDate>Fri, 17 Jul 2015 19:42:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF in Bioinformatics @ Tezpur Universityn]]></title>
  <description><![CDATA[
<p>Tezpur University: Napaam – 784 028:</p>

<p>Assam Applications are invited for Walk-in-Interview for the following temporary positions in the MHRD sponsored Centre of Excellence under FAST project entitled “Machine Learning Research and Big Data Analysis” under the Principal Investigator Professor D.K. Bhattacharyya, Department of Computer Science &amp; Engineering, Tezpur University.</p>

<p>Position : Senior Research Fellows (SRFs) in the field of (i) Bioinformatics (ii) Natural Language Processing / Speech Processing (iii) Cognitive Radio Networks / Optical Networks (iv) Network Security. No. of Positions : Five (05).</p>

<p>Qualification : First class in ME / M. Tech. in CSE / IT / ECE with research experience in relevant fields of research. Candidates having valid GATE / NET score shall be preferred.</p>

<p>Fellowship : Rs. 18,000/- (Rupees Eighteen Thousand) only per month.</p>

<p>Duration : Two (02) years and may be extended depending on status of the project.</p>

<p>Position : Junior Research Fellows (JRFs) in the field of Bioinformatics</p>

<p>No. of Positions : One (01).</p>

<p>Qualification : First class in B. Tech. in CSE / IT/ ECE or MCA with consistently good academic records. Candidates with M. Tech. in CSE / IT / ECE shall be preferred.</p>

<p>Fellowship : Rs. 12,000/- (Rupees twelve Thousand) only per month.</p>

<p>Duration : Two (02) years and may be extended depending on status of the project.</p>

<p>Interested candidates may send their application on plain paper by post along with his/her educational qualifications, research experience certificates (for Senior Research Fellow), 02 copies of recent passport/stamp size photograph and contact phone number to Prof. D.K. Bhattacharyya, Principal Investigator, Department of Computer Science &amp; Engineering, Tezpur University, Napaam- 784028 or mail it to dkb@tezu.ernet.in (or to smh@tezu.ernet.in) within 15 days of publication of this advertisement.</p>

<p>Advertisement: www.tezu.ernet.in/ProjectWalkin/Advt_CoE_5816-A.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38535/nanopack-visualizing-and-processing-long-read-sequencing-data</guid>
	<pubDate>Tue, 25 Dec 2018 21:20:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38535/nanopack-visualizing-and-processing-long-read-sequencing-data</link>
	<title><![CDATA[NanoPack: visualizing and processing long-read sequencing data]]></title>
	<description><![CDATA[The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are compatible with Linux, Mac OS and the MS Windows 10 subsystem for Linux and are available as a graphical user interface, a web service at http://nanoplot.bioinf.be and command line tools.<p>Address of the bookmark: <a href="https://github.com/wdecoster/nanopack" rel="nofollow">https://github.com/wdecoster/nanopack</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23493/srf-post-in-nehu-shillong</guid>
  <pubDate>Sat, 25 Jul 2015 20:09:50 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF post in NEHU, Shillong]]></title>
  <description><![CDATA[
<p>Dept of Biochemistry<br />North-Eastern Hill University<br />Umshing, Shillong- 793 022</p>

<p>Applications are invited for the post of Senior Research Fellow- SRF (one) and Junior Research Fellow- JRF (one) to be appointed in a SERB-funded major research project entitled “Biochemical and functional properties of Synechocystis Glutathione S-transferase(s)” sanctioned to Dr. Timir Tripathi, Molecular and Structural Biophysics Laboratory, Department of Biochemistry, NEHU, Shillong.</p>

<p>Essential Qualifications: For both positions M.Sc. or equivalent with a good academic record is a prerequisite.</p>

<p>For Project-SRF, experience in bioinformatics/computational biology is required, which should be evident by publications.</p>

<p>Students waiting for their last semester result can apply for JRF position.</p>

<p>Stipend: As per SERB norms.</p>

<p>Interested students can email their detailed bio-data including mobile number and recent photograph to msb.biochem@gmail.com, latest by 01.08.15. The hard copy is not required at this stage.</p>

<p>The date of interview will be informed after primary scrutiny of the applications. No TA/DA will be paid if called for interview. P.S: Students applied for the same post as per date 01.06.15, need not to apply again as their application will be considered in this advertisement also.</p>

<p>For details of the research work of the PI’s group kindly visit www.ttripathi.webs.com</p>

<p>Dr. Timir Tripathi Principal Investigator DST-SERB Project Department of Biochemistry NEHU, Shillong</p>

<p>Advertisement: www.nehu.ac.in/Advertisements/BiochemPVAdvtTT_200715.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40699/kevler-reference-free-variant-discovery-in-large-eukaryotic-genomes</guid>
	<pubDate>Tue, 28 Jan 2020 03:21:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40699/kevler-reference-free-variant-discovery-in-large-eukaryotic-genomes</link>
	<title><![CDATA[Kevler: Reference-free variant discovery in large eukaryotic genomes]]></title>
	<description><![CDATA[<p><span>Welcome to&nbsp;</span><span>kevlar</span><span>, software for predicting&nbsp;</span><em>de novo</em><span>&nbsp;genetic variants without mapping reads to a reference genome! kevlar's&nbsp;</span><em>k</em><span>-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs), insertion/deletion variants (indels), and structural variants (SVs) simultaneously with a single simple model.&nbsp;</span></p>
<p><span>More at&nbsp;<a href="https://kevlar.readthedocs.io/en/latest/">https://kevlar.readthedocs.io/en/latest/</a></span></p>
<p><span><a href="https://www.cell.com/iscience/pdf/S2589-0042(19)30259-7.pdf">https://www.cell.com/iscience/pdf/S2589-0042(19)30259-7.pdf</a></span></p><p>Address of the bookmark: <a href="https://github.com/kevlar-dev/kevlar" rel="nofollow">https://github.com/kevlar-dev/kevlar</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23673/ra-bioinformatics-at-alagappa-university</guid>
  <pubDate>Sat, 08 Aug 2015 01:36:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at Alagappa University]]></title>
  <description><![CDATA[
<p>RA Bioinformatics</p>

<p>Eligibility : MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech)</p>

<p>Location : Chennai</p>

<p>Last Date : 20 Aug 2015</p>

<p>Hiring Process : Walk - In<br />Alagappa University - Job Details</p>

<p>RA Bioinformatics Job position in Alagappa University</p>

<p>Qualification: M.Sc., in Bioinformatics/Biotechnology/Biophysics/Biochemistry/ Life Sciences</p>

<p>No.of Post: One</p>

<p>Salary : Rs. 11000<br />How to apply</p>

<p>A walk-in Interview will be held at the Department of Biotechnology, Alagappa University, Science Campus, Karaikudi 630 004 on 20.08.2015 (Thursday) at 10.30 AM.</p>

<p>Interested candidates are encouraged to send their Curriculum Vitae by email in advance. On the day of interview, the candidates must produce original certificates in proof of their educational qualification and experience and a recommendation letter from the Head of the Department/Institution where last studied/worked. Candidates who have already passed the required Degree alone are eligible to appear for interview.</p>

<p>Click Here for more http://alagappauniversity.ac.in/files/news_files/Notification.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44616/basics-of-blast-programs</guid>
	<pubDate>Fri, 26 Jul 2024 06:04:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44616/basics-of-blast-programs</link>
	<title><![CDATA[Basics of BLAST Programs !]]></title>
	<description><![CDATA[<p>The Basic Local Alignment Search Tool (BLAST) is a powerful bioinformatics program used to compare an input sequence (such as DNA, RNA, or protein sequences) against a database of sequences to find regions of similarity. Developed by the National Center for Biotechnology Information (NCBI), BLAST is widely used for identifying species, finding functional and evolutionary relationships between sequences, and predicting the function of novel sequences.</p><p>Key Features of BLAST:<br />1. Sequence Comparison: BLAST searches for local alignments between the query sequence and sequences in a database. It identifies regions of similarity, which can help infer functional and evolutionary relationships.</p><p>2. Speed and Efficiency: BLAST uses heuristic algorithms, making it faster than exhaustive search methods, suitable for large-scale database searches.</p><p>3. Versatility: There are several versions of BLAST for different types of sequence comparisons:<br /> - blastn: Compares a nucleotide query sequence against a nucleotide sequence database.<br /> - blastp: Compares a protein query sequence against a protein sequence database.<br /> - blastx: Compares a nucleotide query sequence translated in all reading frames against a protein sequence database.<br /> - tblastn: Compares a protein query sequence against a nucleotide sequence database translated in all reading frames.<br /> - tblastx: Compares the six-frame translations of a nucleotide query sequence against the six-frame translations of a nucleotide sequence database.</p><p>4. Scoring and E-value: BLAST results are scored based on the quality and length of the alignments. The E-value (expect value) indicates the number of alignments one can expect to find by chance, with lower E-values representing more significant matches.</p><p>5. Output Formats: BLAST provides results in various formats, including plain text, HTML, XML, and JSON, making it adaptable for different types of analyses and integrations with other tools.</p><p>Applications of BLAST:<br />- Genomic Research: Identifying genes, understanding genetic diversity, and mapping genome sequences.<br />- Protein Function Prediction: Inferring the function of unknown proteins by comparing them to known protein sequences.<br />- Evolutionary Studies: Exploring evolutionary relationships between organisms by comparing their genetic material.<br />- Medical Research: Identifying pathogens, understanding disease mechanisms, and developing treatments by comparing sequences of interest.</p><p>Overall, BLAST is an essential tool in bioinformatics, offering a reliable and efficient way to analyze and interpret biological sequence data.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

</channel>
</rss>