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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30654?offset=340</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43084/frequently-used-bioinformatics-tools-for-viral-genome-analysis</guid>
	<pubDate>Wed, 23 Jun 2021 07:40:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43084/frequently-used-bioinformatics-tools-for-viral-genome-analysis</link>
	<title><![CDATA[Frequently used bioinformatics tools for viral genome analysis !]]></title>
	<description><![CDATA[<p><strong>IVA: accurate de novo assembly of RNA virus genomes.</strong><br /> Hunt M, Gall A, Ong SH, Brener J, Ferns B, Goulder P, Nastouli E, Keane JA, Kellam P, Otto TD.<br /> Bioinformatics. 2015 Jul 15;31(14):2374-6. doi: <a href="http://bioinformatics.oxfordjournals.org/content/31/14/2374.long">10.1093/bioinformatics/btv120</a>. Epub 2015 Feb 28.</p><p><a href="http://www.nature.com/nmeth/journal/v9/n1/full/nmeth.1814.html"><strong>Adapter sequences</strong></a>:<br /> <strong>Optimal enzymes for amplifying sequencing libraries.</strong><br /> Quail, M. a et al. Nat. Methods 9, 10-1 (2012).</p><p><a href="http://genome.cshlp.org/content/early/2012/01/12/gr.131383.111"><strong>GAGE</strong></a>:<br /> <strong>GAGE: A critical evaluation of genome assemblies and assembly algorithms.</strong><br /> Salzberg, S. L. et al. Genome Res. 22, 557-67 (2012).</p><p><a href="http://www.biomedcentral.com/1471-2105/14/160"><strong>KMC</strong></a>:<br /> <strong>Disk-based k-mer counting on a PC.</strong><br /> Deorowicz, S., Debudaj-Grabysz, A. &amp; Grabowski, S. BMC Bioinformatics 14, 160 (2013).</p><p><a href="http://genomebiology.com/2014/15/3/R46"><strong>Kraken</strong></a>:<br /> <strong>Kraken: ultrafast metagenomic sequence classification using exact alignments.</strong><br /> Wood, D. E. &amp; Salzberg, S. L. Genome Biol. 15, R46 (2014).</p><p><a href="http://genomebiology.com/2004/5/2/r12"><strong>MUMmer</strong></a>:<br /> <strong>Versatile and open software for comparing large genomes.</strong><br /> Kurtz, S. et al. Genome Biol. 5, R12 (2004).</p><p><strong>R</strong>:<br /> <strong>R: A language and environment for statistical computing.</strong><br /> R Core Team (2013). R Foundation for Statistical Computing, Vienna, Austria. URL <a href="http://www.R-project.org/">http://www.R-project.org/</a>.</p><p><a href="http://nar.oxfordjournals.org/content/39/9/e57"><strong>RATT</strong></a>:<br /> <strong>RATT: Rapid Annotation Transfer Tool.</strong><br /> Otto, T. D., Dillon, G. P., Degrave, W. S. &amp; Berriman, M. Nucleic Acids Res. 39, e57 (2011).</p><p><a href="http://bioinformatics.oxfordjournals.org/content/25/16/2078.abstract"><strong>SAMtools</strong></a>:<br /> <strong>The Sequence Alignment/Map format and SAMtools.</strong><br /> Li, H. et al. Bioinformatics 25, 2078-9 (2009).</p><p><a href="http://bioinformatics.oxfordjournals.org/content/early/2014/04/12/bioinformatics.btu170"><strong>Trimmomatic</strong></a>:<br /> <strong>Trimmomatic: A flexible trimmer for Illumina Sequence Data.</strong><br /> Bolger, A. M., Lohse, M. &amp; Usadel, B. Bioinformatics 1-7 (2014).</p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9579/junior-research-fellow-position-at-school-of-biotechnology-gautam-buddha-university-greater-noida</guid>
  <pubDate>Tue, 01 Apr 2014 14:46:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[JUNIOR RESEARCH FELLOW POSITION at School of Biotechnology, Gautam Buddha University Greater Noida]]></title>
  <description><![CDATA[
<p>Walk-In Interview for one position of Junior Research Fellow (JRF) in a SERB, Department of Science and Technology (DST) funded research project entitled “Design and evaluation of novel Beta-3 adrenoreceptor agonists for potential antidepressant activity” under the supervision of Dr. Shakti Sahi which was scheduled on 31st March, 2014 is now re-scheduled on account of public holiday.</p>

<p>The interview will now be held 01st April 2014. The monthly fellowship of JRF will be Rs 12,000/- plus HRA as per the University rules.</p>

<p>Essential Qualification: Master degree in any discipline of Life Science with NET qualified or valid GATE score.</p>

<p>Desirable Qualification: Preference will be given to candidates having research experience in Bioinformatics.</p>

<p>The interested candidates should report for the Interview on 01st April, 2014 at 10:00 am in the Conference Room of Dean, School of Biotechnology, First floor, Gautam Buddha University, Greater Noida. Interested candidates may also send their resume to undersigned by postmail/e-mail shaktis@gbu.ac.in or shaktisahi@gmail.com. No TA and DA will be paid for appearing for the interview.</p>

<p>Dr. Shakti Sahi<br />(Principle Investigator)<br />School of Biotechnology<br />Gautam Buddha University<br />Greater Noida<br />Ph:9971791897</p>

<p>Advertisement:</p>

<p>www.gbu.ac.in/Recruitment/JRF_advertisement_DSTProject_Shakti_26March14.pdf</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43329/postdoc-position-at-kiel-university-germany</guid>
  <pubDate>Sat, 28 Aug 2021 01:16:55 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoc position at Kiel University, Germany]]></title>
  <description><![CDATA[
<p>In the Genomic Microbiology Group of Prof. Tal Dagan at the Institute<br />of Microbiology at Kiel University, Germany, a</p>

<p>Postdoc position (m/w/d)</p>

<p>in the field of computational evolutionary microbiology is available<br />for an initially limited period of 36 months at the earliest possible<br />date. The weekly working time corresponds to 100% of full employment<br />(If the legal requirements under collective bargaining law are met, the<br />tariff grouping is carried out up to pay scale 13 TV-L. The obligation<br />to teach amounts to 4 hours.</p>

<p>The Genomic Microbiology Group research interests are focused on<br />microbial genome evolution with an emphasis on the study of lateral gene<br />transfer. In our research we use both computational and experimental<br />approaches (see www.uni-kiel.de/genomik). The position offers the<br />opportunity to develop an independent research profile within the group<br />research focus. The successful applicant is expected to be involved<br />in teaching of bioinformatics and molecular evolution, including the<br />development of teaching materials (lectures/exercises/short videos).</p>

<p>Your profile:<br />· Doctoral or PhD degree in Molecular Evolution, Bioinformatics or<br />related fields.<br />· Knowledge and experience in programming (e.g., Python) and<br />biostatistical analysis (e.g., with R or MatLab).<br />· Any of the following expertise is an advantage: the analysis of<br />genomic or transcriptomic data, phylogenetic reconstruction,<br />comparative genomics.<br />· Good oral and written communication skills in English.<br />· Ability to teach in German is an advantage (alternatively, an<br />indication to do so from the 2nd year on).<br />· Skills and motivation to communicate and interact with other<br />scientists.<br /> <br />The Christian-Albrechts-University sees itself as a modern and<br />cosmopolitan employer. We welcome your application regardless of your age,<br />gender, cultural and social background, religion, ideology, disability<br />or sexual identity. We promote equality of the sexes.</p>

<p>The Christian-Albrechts-University is committed to the employment of<br />people with disabilities. Preference will be given to applications from<br />severely handicapped persons and persons of equal standing, provided<br />they are suitable.</p>

<p>We expressly welcome applications from people with a migration background.</p>

<p>For enquiries regarding the position, teaching obligations and research<br />topic please contact Prof. Tal Dagan: tdagan@ifam.uni-kiel.de.</p>

<p>Applications should be submitted by email to Mrs. Haacks<br />(dhaacks@ifam.uni-kiel.de) as a single PDF and include: (1) a letter of<br />motivation (max 1 page, Arial 11, line spacing 1.15), (2) CV, (3) PhD<br />certificate. Please use 'GMG postdoc application - [your name]'<br />as a subject.</p>

<p>Please, refrain from sending us application photos.</p>

<p>Application deadline:  August 31 2021 or until the position is<br />filled. Interviews will take place during September/October 2021. The<br />planned starting date for the position is flexible (but in 2021).</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9859/bioinformatics-jrfsrf-position-at-university-of-hyderabad</guid>
  <pubDate>Tue, 15 Apr 2014 20:07:52 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics JRF/SRF position at University of Hyderabad]]></title>
  <description><![CDATA[
<p>UNIVERSITY OF HYDERABAD SCHOOL OF LIFE SCIENCES </p>

<p>Applications are invited from qualified individuals for a JRF/SRF position (sponsored by DBT/DST) at Prof. Jagan Pongubala’s laboratory, University of Hyderabad. Dr. Pongubala’s laboratory is investigating the molecular pathways that control the development of innate and adaptive immune cell types utilizing a combination of genetic, molecular and computational approaches.</p>

<p>JRF/SRF</p>

<p>Masters degree in Bioinformatics  (M.Sc./M.Tech.)</p>

<p>Rs. 12,000+HRA<br />Rs. 16,000+HRA</p>

<p>Initial appointment is for one year and  subjected to renewal up to 2 years</p>

<p>Candidates selected for the above position would have a choice to work on computational biology or experimental  biology. Candidates interested to work on computational biology are expected to perform high-throughput sequencing  (NGS) data analysis and should have a strong background in Bioinformatics &amp; Computational Biology, good  programming skills particularly Perl, Python, R and work experience in Linux environment.</p>

<p>Candidates interested to work on experimental biology should have work experience in techniques that are routinely  used in molecular biology and mammalian cell culture. A basic knowledge of bioinformatics is also desired. </p>

<p>Applicants for the above positions should have a Masters degree (M.Tech/M.Sc) with an aggregate marks greater  than 70% or a 7.5 CGPA. Candidates having JRF-fellowship through CSIR/UGC/ICMR/DBT will be encouraged  to enroll into Ph.D. program. The interested candidates having excellent organizational skills and the ability to work  in a team environment with an aspiration to learn new techniques and explore new scientific areas are requested to generate their resume using the link https://cvmkr.com/CV/new#0 and forward to pongubalajagan@gmail.com</p>

<p>Review of applications will begin immediately and continue until the position is filled. Eligible candidates will be called for an interview. No TA/ DA will be paid for attending the interview or at the time of joining the post. Applicants should note that the appointment is purely temporary and subjected to renewal up to three years and there is no Right to Claim for any regular appointment with the University.</p>

<p>Corresponding address: Jagan Pongubala, Ph.D.<br />Department of Animal Sciences<br />School of Life Sciences, Room:S44<br />University of Hyderabad<br />Gachibowli, Hyderabad 500046</p>

<p>Advertisement: https://www.uohyd.ac.in/images/recruitment/jrf-srf_130414.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44581/biokit-a-set-of-tools-dedicated-to-bioinformatics-data-visualisation</guid>
	<pubDate>Tue, 18 Jun 2024 02:04:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44581/biokit-a-set-of-tools-dedicated-to-bioinformatics-data-visualisation</link>
	<title><![CDATA[BioKit: a set of tools dedicated to bioinformatics, data visualisation]]></title>
	<description><![CDATA[<p><span>BioKit is a set of tools dedicated to bioinformatics, data visualisation (</span><a href="https://biokit.readthedocs.io/en/latest/references.html#module-biokit.viz" title="biokit.viz"><code><span>biokit.viz</span></code></a><span>), access to online biological data (e.g. UniProt, NCBI thanks to bioservices). It also contains more advanced tools related to data analysis (e.g.,&nbsp;</span><a href="https://biokit.readthedocs.io/en/latest/references.html#module-biokit.stats" title="biokit.stats"><code><span>biokit.stats</span></code></a><span>). Since R is quite common in bioinformatics, we also provide a convenient module to run R inside your Python scripts or shell (:mod:biokit.rtools module).</span></p><p>Address of the bookmark: <a href="https://biokit.readthedocs.io/en/latest/index.html" rel="nofollow">https://biokit.readthedocs.io/en/latest/index.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10124/jrf-at-bose-institute-kolkata</guid>
  <pubDate>Mon, 21 Apr 2014 19:41:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF at Bose Institute, Kolkata]]></title>
  <description><![CDATA[
<p>ADVT. No. S/BIC/01/2014-15</p>

<p>Bose Institute, Kolkata, invites applications from Indian Citizens for ONE (01) temporary position of Junior Research Fellow in the DBT sponsored project entitled, “Centre of Excellance (CoE) in Bioinformatics at Bose Institute”, running under Prof. Pinakpani Chakrabarti, Project Co-ordinatior, Bioinformatics Centre. The project is tenable upto 31.03.2017, but duration of the fellowship is one year only. The JRF will work with one of the faculty members of the center based on his / her motivation in any specific area on Bioinformatics.</p>

<p>Essential Qualification: 1st class M.Sc. / M.Tech degree in any stream of Chemical/ Biological Sciences with CSIR-UGC-NET-JRF / ICMR-JRF / DBT-JRF or CSIR-UGCNET- LS / GATE qualification.</p>

<p>Desirable qualification:</p>

<p>(i) Specialized knowledge in Organic / Physical chemistry.<br />(ii) Any exposure to research involving the small molecules (like drug) and / or protein structure determination or prediction.<br />(iii) Basic knowledge in computer programming, e.g. using FORTRAN, C, shell, perl etc.<br />(iv) Hands-on-experience on any of the following software : CHARMM/AMBER/NAMD/GROMACS,Gaussian/Gamess, Haddock/Autodock, Schrodinger etc. (or any other software serving similar purposes in molecular modeling)</p>

<p>Fellowship :</p>

<p>(i) Rs. 16,000/- p.m., plus admissible HRA &amp; Medical Benefit for M.Sc. with CSIRUGC NET-JRF/ICMR-JRF/DBT-JRF or M.Tech. with CSIR-UGC NETJRF/<br />ICMR-JRF/DBT-JRF/CSIR-UGC NET-LS/GATE<br />(ii) Rs. 12,000/- p.m., plus admissible HRA &amp; Medical Benefit for M.Sc. with CSIRUGC NET-LS/GATE</p>

<p>Age : Below 28 years as on the day on which the application is made (relaxable in case of SC/ST/OBC/WOMEN candidates only as per rule).</p>

<p>Interested and eligible candidates should apply on plain paper duly signed by them clearly mentioning the area of interest in research, possession of any desirable qualification (s) as mentioned above and quoting Advertisement No. on the envelop as well as application with complete Bio-data giving e-mail ID, Phone No. and details of qualification i.e. examination passed, year, division, percentage of marks, from Secondary onwards with attested copies of testimonials, addressed to the Registrar, Bose Institute, P-1/12, CIT Scheme VII-M, Kankurgachi, Kolkata-700054 on or before April 25, 2014.</p>

<p>The shortlisted candidates will be called for an interview. Applicants are advised to check our website for future updates.</p>

<p>Advertisement: www.boseinst.ernet.in/ADVT/14/p_2.pdf</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19272/translate2r</guid>
	<pubDate>Fri, 21 Nov 2014 01:16:06 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19272/translate2r</link>
	<title><![CDATA[translate2R]]></title>
	<description><![CDATA[<p>After their presentation at the international &ldquo;user!&rdquo; conference, data analysis specialist <a href="http://www.eoda.de/en/" target="_blank">eoda</a> starts the public alpha testing of <a href="http://www.eoda.de/en/translate2R.html" target="_blank">translate2R</a>. With the start of alpha testing the innovative migration solution by the company hailing from Kassel discards the working title &ldquo;translateR&rdquo; and takes on the final product brand name &ldquo;translate2R&rdquo;. translate2R is a service for the automated translation of SPSS&reg; syntax to R code, therefore supporting data analysts with a quick and low-risk migration to R.</p><p>The manual translation of many, frequently rather complex SPSS scripts often presents itself as a tedious and error-prone task, and represents a rather large obstacle for many analysts and companies to migrate to a modern, open source data management and analysis tool like R. With translate2R this hurdle will be diminished substantially.</p><p>Find at https://service.eoda.de/translater/?lang=en</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10262/research-fellow-phd-candidate-in-computational-biology-%E2%80%93-2-positions</guid>
  <pubDate>Fri, 25 Apr 2014 20:19:58 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research fellow (PhD candidate) in computational biology – 2 positions]]></title>
  <description><![CDATA[
<p>At the Department of Informatics two 4-year positions as research fellow are available in the field of computational biology connected to the Computational Biology Unit. The positions are linked to the project “Integrated genomics - linking transcriptional and translational regulation over developmental time” supported by the Bergen Research Foundation</p>

<p>The fate of a cell is ultimately the product of the regulation of its genes. Gene regulation is a coordinated process acting at multiple levels of which transcription and translation are the most prominent. The Valen group is dedicated to the fundamental question of how transcription and translation is integrated to obtain the desired protein abundance. The recent development of high-throughput next generation sequencing techniques to monitor both active translation and transcription has made it possible to study this connection at the genome scale.</p>

<p>This project aims to elucidate the links between regulation of translation and transcription. The applicant will analyze next generation sequencing data and model gene regulation on a genome-wide level to identify the features that affect the translational output of transcripts. The work will be done in close collaboration with experimental scientists who will test the predictions of the computational models.</p>

<p>Additional information on the position can be obtained by contacting Eivind Valen (eivind.valen@ii.uib.no).</p>

<p>The research fellow must take part in the University’s approved PhD program leading to the degree within a time limit of 3 years. Application for admission to the PhD program, including a project plan outline for the training module, will be worked out in collaboration with the research group in question.</p>

<p>In total, the fellowship period is 4 years, 25 % of this will be allocated to teaching and/or administrative duties. The fellowship period may be reduced if the successful applicant has held previous employment as a research fellow or similar.</p>

<p>http://www.jobbnorge.no/en/available-jobs/job/102235/research-fellow-phd-candidate-in-computational-biology-2-positions</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/10415/bioinformatician-stuck-in-wet-lab</guid>
	<pubDate>Tue, 06 May 2014 12:46:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/10415/bioinformatician-stuck-in-wet-lab</link>
	<title><![CDATA[Bioinformatician stuck in wet-lab]]></title>
	<description><![CDATA[<p>This guide is aimed at pet bioinformaticians, and is meant to guide them towards better career development.</p>
<p><strong>1. Make friends with local bioinformatics groups</strong><br> <strong>2. Talk to your computing group</strong><br> <strong>3. Obtain clear expectations</strong><br> <strong>4. Rewrite your job description</strong><br> <strong>5. Papers</strong><br> <strong>6. Attend bioinformatics meetings</strong><br> <strong>7. Try first, ask later</strong></p><p>Address of the bookmark: <a href="http://biomickwatson.wordpress.com/2013/04/23/a-guide-for-the-lonely-bioinformatician/" rel="nofollow">http://biomickwatson.wordpress.com/2013/04/23/a-guide-for-the-lonely-bioinformatician/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10881/special-project-scientist-%E2%80%93-sorghum-genomics</guid>
  <pubDate>Tue, 20 May 2014 00:34:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Special Project Scientist – Sorghum Genomics]]></title>
  <description><![CDATA[
<p>ICRISAT is seeking applications from Indian Nationals for a Special Project Scientist to work on a sorghum genomics activities related to sequencing/re-sequencing projects utilizing New Generation Sequencing platforms.</p>

<p>The Job detail</p>

<p>    Advancing the SNP-discovery and polymorphism assessment work across several germplasm panels representing global genetic diversity<br />    Population genetic and genomic analyses, testing the hypothesis related to adaptation in multiple geographic regions<br />    Develop SNP assays from large scale GBS and other re-sequencing data for several target traits utilizing available phenotyping data<br />    Combined analyses of genotypic and phenotypic data for discovery of marker-trait associations, and conducting GWAS<br />    Processing, analyzing, and archiving large-scale genomic data sets, assessing data quality, conducting analyses, interpreting findings, and communicating findings to others including preparation of reports, presentations, posters and journal articles<br />    Providing support to MSc and PhD students on topic related to its major core of research<br />    Any other work assigned by the supervisor</p>

<p>The Person:</p>

<p>    PhD in bioinformatics, genetics, computational biology preferably with 1 to 2 years of experience;<br />    familiar with standard bioinformatics tools and scripting languages and emerging and evolving software platforms relevant to bioinformatics and computational biology;<br />    ability to create new analytical pipelines; experience with handling large data sets;<br />    ability to program in at least two of the following: C++, PERL, Python, R, Java.<br />    will use next-generation sequencing technologies to generate marker data for genetic mapping and transcriptome data for expression QTL mapping, and will be responsible for data generation as well as data analysis.</p>

<p>Period and Remuneration: The assignment is for a period of two years, and can be extended for another year depending on performance. ICRISAT pays a very attractive all inclusive lump sum assignment fee payable in Indian Rupees.</p>

<p>How to Apply: Please send your application by email to icrisatjobs@cgiar.org, stating the job title (Special project Scientist-Sorghum Genomics) clearly in the subject column, addressed to the Director, Human Resources and Operations, ICRISAT, Patancheru, Andhra Pradesh 502 324, India, latest by 10 June 2014. The application should include an up-to-date Curriculum Vitae, a short statement of competencies and experience for the position, and the names and addresses (including phone/e-mail) of three referees. Only short-listed candidates will be contacted.</p>

<p>More at: http://www.icrisat.org/careers/Special-Project-Scientist-Sorghum-Genomics.htm</p>
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