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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30236?offset=760</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23892/bioinformatics-made-easy-search-bioinformatics-tools-and-run-genomic-analysis-in-the-cloud</guid>
	<pubDate>Thu, 20 Aug 2015 02:21:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23892/bioinformatics-made-easy-search-bioinformatics-tools-and-run-genomic-analysis-in-the-cloud</link>
	<title><![CDATA[Bioinformatics Made Easy Search: Bioinformatics tools and run genomic analysis in the cloud]]></title>
	<description><![CDATA[<p>InsideDNA makes hundreds of bioinformatics tools immediately available to run via an easy-to-use web interface and allows an accurate search across all functions, tools and pipelines.</p>
<p>With InsideDNA, you can upload and store your own genomic/genetic datasets in a limitless cloud space, and instantly analyze it with a powerful compute instance, without any tool installation or set up hassle.</p>
<p>More at https://insidedna.me/</p><p>Address of the bookmark: <a href="https://insidedna.me/" rel="nofollow">https://insidedna.me/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38505/allhic-phasing-and-scaffolding-polyploid-genomes-based-on-hi-c-data</guid>
	<pubDate>Thu, 20 Dec 2018 12:03:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38505/allhic-phasing-and-scaffolding-polyploid-genomes-based-on-hi-c-data</link>
	<title><![CDATA[ALLHiC: Phasing and scaffolding polyploid genomes based on Hi-C data]]></title>
	<description><![CDATA[<p><span>The major problem of scaffolding polyploid genome is that Hi-C signals are frequently detected between allelic haplotypes and any existing stat of art Hi-C scaffolding program links the allelic haplotypes together. To solve the problem, we developed a new Hi-C scaffolding pipeline, called ALLHIC, specifically tailored to the polyploid genomes. ALLHIC pipeline contains a total of 5 steps:&nbsp;</span><em>prune</em><span>,&nbsp;</span><em>partition</em><span>,&nbsp;</span><em>rescue</em><span>,&nbsp;</span><em>optimize</em><span>&nbsp;and&nbsp;</span><em>build</em><span>.</span></p><p>Address of the bookmark: <a href="https://github.com/tangerzhang/ALLHiC/wiki" rel="nofollow">https://github.com/tangerzhang/ALLHiC/wiki</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24036/jrf-position-%E2%80%93-international-institute-of-information-technology-hyderabad</guid>
  <pubDate>Mon, 24 Aug 2015 22:44:46 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Position – International Institute of Information Technology, Hyderabad]]></title>
  <description><![CDATA[
<p>International Institute of Information Technology, Hyderabad</p>

<p>Center for Computational Natural Sciences and Bioinformatics</p>

<p>Junior Research Fellowship Position</p>

<p>Applications are invited for one JRF position in the following DAE sponsored project.</p>

<p>Title of the project: Insight into the Structure–Function Relationships of Chemically Modified Nucleic Acids: A Molecular Dynamics Simulations Study.</p>

<p>The above project involves theoretical modelling and simulations on chemically modified nucleic acids to investigate their structures, dynamics and thermodynamic stabilities.</p>

<p>Desired qualification: M.Sc. in Chemistry/ Bioinformatics; GATE/UGC-CSIR NET qualification.</p>

<p>To apply: Send detailed curriculum vitae by e-mail to the following address on or before 31 August 2015: Prof. U. Deva Priyakumar (devalab@iiit.ac.in), CCNSB, IIIT-H, Gachibowli, Hyderabad 500 032.</p>
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	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/24264/cancer-research-database</guid>
	<pubDate>Tue, 01 Sep 2015 17:36:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/24264/cancer-research-database</link>
	<title><![CDATA[Cancer research database]]></title>
	<description><![CDATA[<p>Researchers in Andhra Pradesh have developed a database to identify genes that are common in tumours to provide their colleagues with easy access to insights into the genetic alterations in cancer.<br /> &nbsp;<br /> The database, hosted at the Sri Venkateswara University (SVU) in Tirupati, will integrate information on cancer genes and markers with experimental data.<br /> &nbsp;<br /> The <a href="http://cgmd.in/" target="_blank">Cancer Gene Markers Database</a> (CGMD) is meant to help scientists better understand tumour genes and markers at a molecular level by combining data with literature on treatment regimen and recent advances in cancer therapy.<br /> <br /> The database is free to access, and already includes 309 genes and 206 markers that correspond to 40 different human cancers. Accompanying literature comes from databases such as the United States&rsquo; <a href="http://www.ncbi.nlm.nih.gov/" target="_blank">National Center for Biotechnology Information</a> and the <a href="http://www.genome.jp/kegg/" target="_blank">Kyoto Encyclopedia of Genes and Genomes</a>. It also includes experimental data from <a href="http://www.ncbi.nlm.nih.gov/pubmed" target="_blank">PubMed</a>.<br /> <br /> In a paper <a href="http://dx.doi.org/10.1038/srep12035" target="_blank">published</a> last month in <em>Nature Scientific Reports</em>, the researchers from SVU&rsquo;s department of animal biotechnology, describes the need for a database for different genes and markers along with their molecular characteristics and pathway associations.</p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43319/k-mers-tutorial-classification-and-taxonomy</guid>
	<pubDate>Thu, 26 Aug 2021 10:28:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43319/k-mers-tutorial-classification-and-taxonomy</link>
	<title><![CDATA[k-mers tutorial - classification and taxonomy]]></title>
	<description><![CDATA[<p>DNA k-mers underlie much of our assembly work, and we (along with many others!) have spent a lot of time thinking about how to&nbsp;<a href="http://www.pnas.org/content/109/33/13272">store k-mer graphs efficiently</a>,&nbsp;<a href="http://ivory.idyll.org/blog/what-is-diginorm.html">discard redundant data</a>, and&nbsp;<a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0101271">count them efficiently</a>.</p>
<p>More recently, we've been enthused about&nbsp;<a href="http://joss.theoj.org/papers/3d793c6e7db683bee7c03377a4a7f3c9">using k-mer based similarity measures</a>&nbsp;and&nbsp;<a href="http://ivory.idyll.org/blog/2016-sourmash-sbt.html">computing and searching k-mer-based sketch search databases for all the things</a>.</p>
<p>But I haven't spent too much talking about using k-mers for taxonomy, although that has become an&nbsp;<em>ahem</em>&nbsp;area of interest recently,&nbsp;<a href="http://www.biorxiv.org/content/early/2017/07/03/155358">if you read into our papers a bit</a>.</p>
<p>In this blog post I'm going to fix this by doing a little bit of a literature review and waxing enthusiastic about other people's work. Then in a future blog post I'll talk about how we're building off of this work in fun! and interesting? ways!</p><p>Address of the bookmark: <a href="http://ivory.idyll.org/blog/2017-something-about-kmers.html" rel="nofollow">http://ivory.idyll.org/blog/2017-something-about-kmers.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24363/walk-in-interview-for-srf-jrf-posts-at-national-research-centre-on-plant-biotechnology-new-delhi-110012</guid>
  <pubDate>Thu, 10 Sep 2015 15:58:55 -0500</pubDate>
  <link></link>
  <title><![CDATA[Walk-in-interview for SRF, JRF posts at NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY New Delhi-110012]]></title>
  <description><![CDATA[
<p>NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY New Delhi-110012</p>

<p>Eligible candidates may appear in Walk-in-interview for the positions of Senior Research Fellow in ICAR funded projects as follows</p>

<p>ICAR Network Project on Transgenics in Crops- Amelioration of cold induced sweetening in potato.</p>

<p>PI: Dr Debasis Pattanayak </p>

<p>SRF</p>

<p>Rs.25000/‐+ 30% HRA</p>

<p>September 29, 2015</p>

<p>Essential: Master’s Degree in Bioinformatics /Biotechnology/ Biochemistry/ life sciences with four years Bachelor’s Degree (or) Master’s Degree in Bioinformatics /Biotechnology/Biochemistry/ life sciences with NET qualification. .</p>

<p>Desirable: Experience in Bioinformatics and programming.</p>

<p>Age Limit: 35 years max. (5 years relaxation for SC/ST/OBC and woman candidates as per ICAR rules).</p>

<p>The post is purely temporary in nature and is co-terminus with the project. The interview will be held on September 29, 2015 at 10 AM at NRCPB, LBS Building, Pusa Campus, and New Delhi-110012. The candidates must bring four copies of biodata, original certificates, attested photocopies of each of the certificates and an attested copy of recent passport size photograph.</p>

<p>No TA/DA would be given for the appearance in interview. Only the candidates having essential qualifications would be entertained for the interviews </p>

<p>http://www.nrcpb.org/sites/default/files/NPTC%20walk%20in%20interview%20September%202015%20for%20NRCPB%20webpage%20D%20%20%20Pattanayak.pdf</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24464/guest-faculty-job-vacancies-in-pondicherry-university</guid>
  <pubDate>Tue, 22 Sep 2015 23:50:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[Guest Faculty Job vacancies in Pondicherry University]]></title>
  <description><![CDATA[
<p>Guest Faculty Job vacancies in Pondicherry University<br />Qualification : M.Phil. / M.Tech. / M.Sc. in Computer Science / Master of Computer Applications with a minimum of 55% of marks. Candidates with Ph.D. degree and NET/SLET qualification will be given preference as per UGC norms.</p>

<p>Desirable : Research or teaching experience in Bioinformatics and Computational Biology.<br />Honorarium : Rs. 1,000/- per lecture (subject to a maximum of 25,000/- per month)<br />How to apply</p>

<p>Interested eligible candidates may attend the 'walk-in' interview along with all original certificates and testimonials with a copy of their bio-data. Walk-in-interview will be held on 28.09.2015 (Monday), 03:00 P.M. at the office of the Dean, School of Life Sciences, Science Block — I, Pondicherry University, Puducherry — 605 014. Candidates reporting after 03:00 P.M. will not be entertained.</p>

<p>More at http://www.pondiuni.edu.in/news/walk-interview-guest-faculty-centre-bioinformatics</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25252/bioinformatics-faculty-at-university-of-pune</guid>
  <pubDate>Fri, 13 Nov 2015 03:06:00 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Faculty at University of Pune]]></title>
  <description><![CDATA[
<p>SAVITRIBAI PHULE PUNE UNIVERSITY<br />(Formerly University of Pune)<br />(APPOINTMENT OF TEACHING POSTS)</p>

<p>Accompaniment to the Advertisement No. 52 dated 10.11.2015 for various Teaching Positions purely on contract basis for a maximum period of five years in the various Departments/Centre of the University.</p>

<p>Last date for receipt of application in the University Office is 04.12.2015.</p>

<p>Associate Professor</p>

<p>    Environmental Science</p>

<p>    Institute of Bioinformatics &amp; Biotechnology (IBB)</p>

<p>    Microbiology</p>

<p>Assistant Professor</p>

<p>    Biotechnology</p>

<p>    Institute of Bioinformatics &amp; Biotechnology (IBB)</p>

<p>    Microbiology</p>

<p>More Info : http://collegecirculars.unipune.ac.in/sites/documents/Job%20Openings/advt-no-52-dt-10-11-2015-contract-positions.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24923/postdoctoral-positions-are-available-at-the-faryabi-lab</guid>
  <pubDate>Sun, 11 Oct 2015 03:36:18 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral positions are available at the Faryabi Lab]]></title>
  <description><![CDATA[
<p>Postdoctoral positions are available at the Faryabi Lab located in the Department of Pathology and the Center for Personalized Diagnostics at the University of Pennsylvania.</p>

<p>A qualified candidate will be strongly motivated individual with following qualifications: a Ph.D. in computational sciences, engineering, physics, bioinformatics, or related field. Ability to program in Python/Perl and R in Unix environment, knowledge of C++, Java, and SQL is a plus. Demonstrated applied bioinformatics/computational proficiency as evidenced by relevant publications in peer-reviewed journals. Experience with cancer genomics is a plus.</p>

<p>The primary research focus of the Faryabi Lab is on developing novel computational methods to study mechanisms involved in genome instability and elucidate their roles in tumorigenesis. In addition the position provides collaborative opportunities with both basic and translational scientists across the Perelman School of Medicine, one of the top 5 medical research universities in the nation.<br />. a Ph.D. degree in either physical or computational sciences<br />. solid programming skills ( Python/Perl, Java, C/C++, R, SQL)<br />. computational genomics experience ( high throughput sequence analysis)<br />. excellent spoken and written communication and interaction skills<br />. publications in English in relevant areas of research in peer-reviewed journals.<br />. Previous experience or interest in data visualization design is a plus.</p>

<p>More at <br />University of Pennsylvania<br />Pathology and Laboratory Medicine<br />Robert B. Faryabi<br />faryabiPenn@gmail.com<br />http://faryabib.github.io/<br />How To Apply:	email CV and contacts of 3 references to faryabiPenn@gmail.com</p>
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