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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29123?offset=1390</link>
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	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/20439/interactive-market-intelligence</guid>
	<pubDate>Mon, 19 Jan 2015 08:20:38 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/20439/interactive-market-intelligence</link>
	<title><![CDATA[Interactive Market Intelligence]]></title>
	<description><![CDATA[<p>BioInformatics LLC, a premier research and advisory firm serving the life science industry, has launched groundbreaking, dynamic-data presentation platform, Interactive Market Intelligence&mdash; the only cloud-based market research analytics tool for the life science tools industry.<br /><br />Superior to traditional PDF and PowerPoint reports, Interactive Market Intelligence allows end-users to filter, create and export literally thousands of views of data &mdash; all easily obtainable from a set of core metrics that include market, brand, customer and workflow analytics in well-defined segments of the life science market.<br /><br />The Market for Real-Time PCR is the first in a series of topics to be explored using the Interactive Market Intelligence platform. The primary research analysis is based on a survey of 900+ international scientists performing qPCR in their laboratories.<br /><br />Key data findings from "The Market for Real-Time PCR": Global market for qPCR in 2015 is estimated to be $3.6B; The average growth in qPCR throughput is expected to be at 9.8% in 2015; 22% of respondents are highly likely to switch primary suppliers of qPCR products; 50% of respondents use pre-designed primer/probe sets.</p>]]></description>
	<dc:creator>Pranjali Yadav</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44672/libraries-or-management-tools-for-high-throughput-sequencing-data</guid>
	<pubDate>Fri, 04 Oct 2024 02:45:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44672/libraries-or-management-tools-for-high-throughput-sequencing-data</link>
	<title><![CDATA[Libraries or management tools for high throughput sequencing data]]></title>
	<description><![CDATA[<ul>
<li><a href="http://gatb.inria.fr/"><span>GATB</span></a>&nbsp;Library.&nbsp;The&nbsp;<span>Genome Analysis Toolbox with de-Bruijn graph.&nbsp;</span>A large part of tools developed by the GenScale team are based on this library.<br />These methods enable the analysis of data sets of any size on multi-core desktop computers, including very huge amount of reads data coming from any kind of organisms such as bacteria, plants, animals and even complex samples (<em>e.g.</em>&nbsp;metagenomes). Among them are (the full is available here:&nbsp;<a href="https://gatb.inria.fr/software/">https://gatb.inria.fr/software/</a>):</li>
<li><a href="https://github.com/morispi/LRez"><span>LRez</span></a>: C++ Library and toolkit for the barcode-based management and indexation of linked-read datasets.</li>
</ul><h2>Variant calling and/or genotyping</h2><ul>
<li><a href="https://gatb.inria.fr/software/discosnp/" title="DiscoSNP">DiscoSNP++ and&nbsp;discoSnpRAD</a>: Reference-free small variant discovery (SNPs and indels)</li>
<li><a href="https://gatb.inria.fr/software/mind-the-gap/" title="MindTheGap">MindTheGap</a>: Detection and assembly of large insertion variants</li>
<li><a href="https://gatb.inria.fr/software/takeabreak/" title="TakeABreak">TakeABreak</a>:&nbsp;reference-free inversion discovery tool</li>
<li><a href="https://github.com/llecompte/SVJedi">SVJedi</a>: Structural Variant genotyper with long read data</li>
<li><a href="https://github.com/SandraLouise/SVJedi-graph">SVJedi-graph</a>: Structural Variant genotyper with long read data using a variation graph</li>
</ul><h2>Sequence assembly</h2><ul>
<li><a href="https://github.com/cguyomar/MinYS">MinYS</a>: reference-guided genome assembly in metagenomics data</li>
<li><a href="https://github.com/anne-gcd/MTG-Link">MTG-link</a>: local assembly tool for linked-read data</li>
<li><a href="https://gatb.inria.fr/software/minia/" title="Minia">Minia</a>: De novo short read assembler</li>
<li><a href="https://gatb.inria.fr/de-novo-genome-assembly/">de-novo pipeline</a>:&nbsp;<em>de-novo</em>&nbsp;assembly pipeline (error correction / contigs / scaffolding) for genomes and meta-genomes</li>
<li><a href="https://gatb.inria.fr/software/mapsembler/" title="Mapsembler2">Mapsembler2</a>: Targeted assembly (not maintained)</li>
</ul><h2>Managing k-mers &amp; indexation</h2><ul>
<li><a href="https://github.com/lrobidou/findere">findere</a>:&nbsp;simple strategy for speeding up queries and for reducing false positive calls from any Approximate Membership Query data structure.
<ul>
<li><a href="https://github.com/lrobidou/fimpera">fimpera</a>&nbsp;extends findere adding the abundance information.</li>
</ul>
</li>
<li><a href="https://github.com/tlemane/kmtricks">kmtricks</a>:&nbsp;modular tool suite for counting kmers, and constructing Bloom filters or kmer matrices, for large collections of sequencing data.</li>
<li><a href="https://github.com/tlemane/kmindex">kmindex&nbsp;</a>is a tool for indexing and querying sequencing samples. It is built on top of kmtricks.</li>
<li><a href="https://github.com/pierrepeterlongo/back_to_sequences">back to sequences</a>: Find sequences (reads, unitigs, genes) related to a set of kmers in large datasets, in a matter of seconds.</li>
<li><a href="https://github.com/vicLeva/bqf">Backpack Quotient Filter</a>:&nbsp;k-mer indexing data structure with abundance</li>
<li><a href="http://github.com/GATB/rconnector">short read connector</a>:&nbsp;Detect similar reads from potentially large read set</li>
<li><a href="https://gatb.inria.fr/software/dsk/" title="DSK">DSK</a>:&nbsp;Count K-mer in sequences</li>
</ul><h2>Pangenome graph manipulation</h2><ul>
<li><a href="https://github.com/Tharos-ux/pancat">Pancat</a>: Pangenome Comparison and Analysis Toolkit</li>
<li><a href="https://pypi.org/project/gfagraphs/">GFAGraphs</a>: a Python library to handle pangenome graph files in GFA format.</li>
</ul><h2>Comparative metagenomics with k-mers</h2><ul>
<li><a href="https://github.com/GATB/simka">Simka and SimkaMin</a>:&nbsp;Comparative metagenomics for large-scale datasets</li>
<li><a href="https://team.inria.fr/genscale/high-throughput-sequence-analysis/compreads-metagenomic-data-analysis/">Comparead &amp; Commet</a>:&nbsp;comparison of metagenomic datasets</li>
</ul><h2>Species and bacterial strains identification</h2><ul>
<li><a href="https://github.com/gsiekaniec/ORI">ORI</a>: software using long nanopore reads to identify bacteria present in a sample at the strain level</li>
<li><a href="https://github.com/kevsilva/StrainFLAIR">StrainFLAIR</a>:&nbsp;STRAIN-level proFiLing using vArIation gRaph</li>
</ul><h2>General-purpose sequencing data manipulation</h2><ul>
<li><a href="https://team.inria.fr/genscale/ngs-software/gassst/">GASSST</a>:&nbsp;long read mapper</li>
<li><a href="https://gatb.inria.fr/software/leon/" title="Leon">Leon</a>: short read compressor (now included in GATB-core)</li>
<li><a href="https://gatb.inria.fr/software/bloocoo/" title="Bloocoo">Bloocoo</a>:&nbsp;short read corrector</li>
<li><a href="https://github.com/GATB/bcalm">BCALM</a>:&nbsp;Construct compacted de Bruijn graphs (unitigs)</li>
</ul><h2>&nbsp;Protein Structure</h2><ul>
<li><a href="https://team.inria.fr/genscale/protein-structure/a-purva-contact-map-overlap-solver/">A_Purva</a>:&nbsp;Contact Map Overlap solver</li>
<li><a href="https://team.inria.fr/genscale/protein-structure/md-jeep-distance-geomtry-solver/">MD-Jeep</a>:&nbsp;Distance Geometry solver</li>
<li><a href="https://team.inria.fr/genscale/csa-comparative-structural-alignment/">CSA</a>:&nbsp;Comparative Structural Alignment</li>
</ul><h2>Workflow</h2><ul>
<li><a href="https://team.inria.fr/genscale/workflows/slicee/">SLICEE</a>:&nbsp;parallel execution of bioinformatics workflows</li>
</ul><h3>Comparative Genomics</h3><ul>
<li><a href="https://team.inria.fr/genscale/comparative-genomics/cassis/">CASSIS</a>:&nbsp;detection of rearrangement breakpoints</li>
<li><a href="https://team.inria.fr/genscale/high-throughput-sequence-analysis/plast-intensive-sequence-comparison/">PLAST</a>:&nbsp;intensive bank-to-bank sequence comparison</li>
<li><a href="https://github.com/stephanierobin/DrjBreakpointFinder">DRJBreakpointFinder</a>: detection and precise localization of excision sites in proviral segments</li>
</ul>]]></description>
	<dc:creator>LEGE</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21537/bioinformatics-project-fellow-at-institute-of-genomics-integrative-biology-new-delhi-delhi</guid>
  <pubDate>Wed, 11 Mar 2015 03:04:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Project Fellow at Institute of Genomics &amp; Integrative Biology  - New Delhi, Delhi]]></title>
  <description><![CDATA[
<p>Pay Scale: Rs. 16,000/- + 30 % HRA per month<br />Educational Requirements: M.Sc. in Bioinformatics with at least 55% marks Qualifications: Knowledge of Perl, R and other programming language or Database management or knowledge of pipelines to analyze NGS data or experience in scientific writing and good communication skills </p>

<p>Details will be available at: http://www.igib.res.in/sites/default/files/26032015.pdf </p>

<p>No of Post: 01, 01 </p>

<p>How To Apply: 1. Please fill up the proforma 2. Candidate cannot apply for more than two posts. Last date of receiving application is 12-03-2015. No application would be entertained with “result awaited” status or after due date. List of shortlisted candidates will be put up on CSIR-IGIB website. No TA/DA will be paid to the candidates to attend the interview. The engagement shall be as per guidelines of CSIR/Funding agency. Candidates will have an option to give reply in Hindi. Note: The shortlisted candidates, have to report at 09:00 AM at Mall Road Campus, Delhi – 110007 on the day of interview along with any Photo ID card, (without photo ID card interview will not be conducted). 3 copies of updated signed C. V. (clearly mentioning Date of Birth and Hightest Qualification with percentage), Dissertation (if any), PhD thesis (if any) and original certificates/Self attested photocopies for verification. </p>

<p>General Instructions: Engagement is for the project and on behalf of the funding agency and the tenure shall be as mentioned above. The duration of the post is initially for One year or till the closing date of the project, whichever is earlier. Tenure may be extendable up to project duration. Contract may be terminated at any time by giving one-month notice by either side. The applicants will have no claim implicit or explicit for consideration against any CSIR/IGIB post. Candidates should note that non-fulfillment of the eligibility criterion will result in cancellation of candidature at any stage. </p>

<p>Last Date: 12-03-2015. <br />Age Limit: 28 Years</p>
]]></description>
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	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/33617/list-of-universities-offering-bachelor-or-master-bioinformatics-degree-in-pakistan</guid>
	<pubDate>Wed, 21 Jun 2017 04:20:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/33617/list-of-universities-offering-bachelor-or-master-bioinformatics-degree-in-pakistan</link>
	<title><![CDATA[List of universities offering Bachelor or Master bioinformatics degree in Pakistan]]></title>
	<description><![CDATA[<p>There are a lot of universities offering Bachelor or Master degree in Pakistan. Following are the list of few intitute/universities</p><p>Bachelor/ BS Bioinformatics at<br />1. Al-khair University, Bhimber<br />2. Government College University, Faisalabad<br />3. University Of Agriculture, Faisalabad<br />4. Comsats Institute Of Information Technology [isb], Islamabad<br />5. International Islamic University, Islamabad<br />6. Quaid-e-azam University, Islamabad<br />7. Khushal Khan Khattak University, Karak<br />8. Virtual University Of Pakistan, Lahore<br />9. Virtual University Of Pakistan, Lahore<br />10. Hazara University, Mansehra<br />11. Shaheed Benazir Bhutto Women University, Peshawar<br />12. Comsats Institute Of Information Technology, Sahiwal<br />13. Capital University Of Science And Technology, Islamabad<br />14. Foundation University, Islamabad<br />15. Baqai Medical University/hospital, Karachi<br />16. Institute Of Business And Technology(main Campus), Karachi<br />17. Sir Syed University Of Engineering &amp; Technology, Karachi<br />18. Forman Christian College, Lahore<br />19. Qarshi University (lhr), Lahore<br />20. The Superior University, Lahore<br />21. University Of Management And Technology, Lahore<br />22. Federal Institute Of Health Sciences, Lahore<br />23. Shaheed Benazir Bhutto Women University Peshawar, Sub Campus, Swabi<br />24. Government Postgraduate College ( Mandian), Abbottabad<br />25. Federal Institute Of Health Sciences, Multan<br />26. Fedral Institute Of Health Sciences, Muzaffarabad<br />27. The Limit Institution Of Health Sciences, Sahiwal</p><p><br />Master/ MS Bioinformatics cources at<br />1. Government College University, Faisalabad<br />2. Comsats Institute Of Information Technology [isb], Islamabad<br />3. International Islamic University, Islamabad<br />4. National University Of Science &amp; Technology, Islamabad<br />5. Quaid-e-azam University, Islamabad<br />6. University Of Sindh, Jamshoro<br />7. Virtual University Of Pakistan, Lahore<br />8. Hazara University, Mansehra<br />9. Shaheed Benazir Bhutto Women University, Peshawar<br />10. Capital University Of Science And Technology, Islamabad<br />11. Cecos University Of Information Tech. &amp; Emerging Sciences, Peshawar</p><p>The real bioinformatics scope lies if there are research labs which work in this field. One has to take account of that. If so then try to get information of those labs and visit them to get a hang of the work they pursue.</p><p>There is a huge buzz of precision medicine in light of genomics all around the world. One should also try to see how genomics infrastructure is built up or standing in Pakistan. If research labs having collaboration with hospitals employ genomics then one must also visit such labs. This will bring new avenues in healthcare advances. Not only it opens up the wealth of knowledge one can make out of genomics study but will also advance the critical thinking of therapies.</p><p>So I would encourage to target research labs working in the fields and also get information of hospitals employing genomics, this will give you an overall understanding of the fields demand in your country.</p>]]></description>
	<dc:creator>Reshma Khatun</dc:creator>
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	<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23537/research-associate-bioinformatics-central-institute-for-research-on-buffaloes-cirb-hisar-haryana</guid>
  <pubDate>Fri, 31 Jul 2015 10:19:45 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics Central Institute for Research on Buffaloes (CIRB) - Hisar, Haryana]]></title>
  <description><![CDATA[
<p>Research Associate (RA) under Network Project on Agricultural Bioinformatics</p>

<p>Name of the Project : Network Project on Agricultural Bioinformatics Number of positions One<br />Qualifications : Ph.D Degree in Bioinformatics/Biotechnology/ Biochemistry/Genetics &amp; Breeding/Life Sciences OR Master’s Degree in relevant subject with at least 2 years research experience. Desirable : Working experience in Molecular Biology/Genomics/Bioinformatics, specifically, sequence data analysis using software’s proficiently</p>

<p>Emoluments : Masters Degree Holders Rs. 38,000/- per month Doctoral Degree Holders Rs. 40,000/- per month</p>

<p>Emoluments : Rs.25000/- per month for 1st and 2nd year and Rs. 28000/- per month for 3rd year<br />Age Limit : Upper age limit is 35 years for men and 40 years for women on the date of interview. Age relaxation for SC/ST and OBC candidates as per rules</p>

<p>More at http://www.cirb.res.in/attachments/195_walk-in-interview%20for%20contractual%20positions%20of%20RA%20and%20SRF%20%28On%20Dated%2011.8.2015%29.pdf</p>
]]></description>
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	<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21022/ra-bioinformatics-at-tezpur-university</guid>
  <pubDate>Fri, 06 Feb 2015 04:11:23 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at TEZPUR UNIVERSITY]]></title>
  <description><![CDATA[
<p>Walk-in-interview will be held on 23 February, 2015 at 11.00 a.m. for the following temporary positions in the DBT (U-EXCEL) sponsored project entitled “Sequencing genomes of some bacteria that invade/resides in tomato plant” under the Principal Investigator Dr. Suvendra Kumar Ray, Department of Molecular Biology and Biotechnology, Tezpur University.</p>

<p>Interested candidates may appear before the interview board on 23 February, 2015 at the Office of the Head, Department of Molecular Biology &amp; Biotechnology, Tezpur University with original documents and photocopies of marks sheets, certificates, testimonials, caste certificate (if applicable), experience certificate and a copy of curriculum vitae (CV) duly signed by the candidate.</p>

<p>Position: One (01) Research Associate.</p>

<p>Educational Qualification: Candidates having Ph.D. degree or submitted thesis in any topic of Life Science Areas (Zoology, Botany, Microbiology, Biotechnology etc.) along with knowledge of gene and protein sequence analysis may apply.</p>

<p>Remuneration: Rs. 22,000/- (Rupees twenty two thousand) only + 10% HRA as admissible per month for the first year and Rs. 23,000/- (Rupees twenty three thousand) only + 10% HRA as admissible per month for the second year.</p>

<p>Age: Candidate preferably below the age of 40 years who have obtained a doctorate (Ph.D.) degree from a recognized University.</p>

<p>Upper age limit may be relaxed up to 5 years in the case of candidates belonging SC/ST/OBC/Women and physically challenged.</p>

<p>Position: One (01) Project Assistant.</p>

<p>Educational Qualification: B.Sc./B.Tech./B.E./B.Pharma in any branch with minimum 55% mark in the qualifying examinations and minimum 50 % mark in 10th and 10+2 Science examinations.</p>

<p>Remuneration: Rs. 8,000/- (Rupees eight thousand) only per month (consolidated). Age: Candidate should not be more than 28 years of age on the date of interview. Upper age limit may be relaxed up to 5 years in the case of candidate belonging to SC/ST/OBC/Women/Physically Challenged.</p>

<p>Duration: One year or till completion of the project, whichever is earlier. N.B. No TA/DA will be paid to the candidates for attending the interview.</p>

<p>For further information contact – Dr. Suvendra Kumar Ray, Associate Professor Email: suven@tezu.ernet.in Department of Molecular Biology and Biotechnology Tezpur University Sd/- Dean, Research &amp; Development Tezpur University</p>

<p>Advertisement: http://www.tezu.ernet.in/ProjectWalkin/Advt-SKR2-5342-A.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21095/ra-walk-in-interview-actrec</guid>
  <pubDate>Mon, 09 Feb 2015 01:06:16 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA WALK-IN-INTERVIEW @ ACTREC]]></title>
  <description><![CDATA[
<p>No. ACTREC/Advt./ 7 /2015</p>

<p>Title of the Project<br />Research Associate<br />(One position)<br />DBTs Biotechnology/Bioinformatics training centre<br />PI Dr. Ashok Varma	</p>

<p>Duration of the Project Six Months from the date of appointment, can be extended further for six month.</p>

<p>Date &amp; Time: 17th February, 2015 at 10.00 a.m.</p>

<p>Venue: Meeting Room, 3rd floor, Khanolkar Shodhika, ACTREC</p>

<p>Essential Qualifications and Experience:</p>

<p>Ph.D. Degree in Basic Sciences from recognized University. Research experience in Bioinformatics or on gene cloning, protein purification, and crystallization.</p>

<p>*M.Sc. degree obtained after a one year course will not be considered.</p>

<p>Selected candidate will have to join at the earliest.</p>

<p>Consolidated Salary: Rs.28,600/- p.m. {Rs.22,000/- + 30% HRA}</p>

<p>The work progress of the candidate will be monitored and extension after 6 months will depend on satisfactory progress of the work.</p>

<p>Candidates fulfilling these requirements should pre-register by sending their application in the prescribed format with recent CV and contact details of 2 referees by e-mail to ‘program.office@actrec.gov.in’ latest by 17.00 hrs on 12-02-2015.<br />The interviews would be held on 17th February, 2015 and will be only for the pre-registered candidates. Candidates should report between 09.30 to 10.00 a.m. in Steno Pool, 3rd floor, Khanolkar Shodhika, ACTREC, Kharghar, Navi Mumbai.<br />No T.A./D.A. will be admissible for attending the interview.</p>

<p>At the time of Interview the candidate should bring original certificates along with CV with contact details of 2 referees and submit the photocopies (attested) of the certificates, with a recent passport size photograph.</p>

<p>All correspondence should be strictly made only to ‘program.office@actrec.gov.in’ as indicated.</p>

<p>Advertisement: www.actrec.gov.in/data%20files/2015/AV-RA-DBT-28-1-15.docx</p>
]]></description>
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