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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28303?offset=570</link>
	<atom:link href="https://bioinformaticsonline.com/related/28303?offset=570" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4314/postdocs-positions-in-computer-science-in-helsinki-finland</guid>
  <pubDate>Fri, 06 Sep 2013 10:11:19 -0500</pubDate>
  <link></link>
  <title><![CDATA[PostDocs positions in computer science in HELSINKI, FINLAND]]></title>
  <description><![CDATA[
<p>Several university departments in the Helsinki region, Finland, are looking for postdoctoral researchers in the field of computer science and information technology. Jobs are available at:<br />·       Helsinki Institute for Information Technology HIIT, Aalto University and University of Helsinki, http://www.hiit.fi<br />·       Department of Computer Science, University of Helsinki, http://www.cs.helsinki.fi<br />·       Department of Information and Computer Science, Aalto University, http://ics.aalto.fi<br />·       Department of Computer Science and Engineering, Aalto University, http://cse.aalto.fi<br />·       Department of Mathematics and Statistics, University of Helsinki, http://mathstat.helsinki.fi/english/<br /> <br />Why Helsinki?<br />The collaborating Aalto University and University of Helsinki form a leading hub of computer science and modelling, including Machine learning, Data mining, Algorithms, Computational Logic, Cloud computing, Distributed computing, Human-centric ubiquitous ICT, Bioinformatics, etc.<br />Helsinki region is a safe, pleasant and attractive place to live in, with well-functioning services such as public transport etc. Finland has a comprehensive social security and health care system, including exceptionally good parental leaves, and children's day care services.<br /> <br />Positions are offered in:<br />Algorithm engineering (String Algorithms group)<br />Algorithmic bioinformatics (Genome-Scale Algorithmics group)<br />Automated reasoning and search, especially propositional logic (Computational Logic group)<br />Computational astrophysics and/or data analysis (Computational Methods and Data Analysis for Astrophysics group)<br />Computational biology and statistical methods in bioinformatics (Computational Systems Biology group)<br />Computational creativity and data mining (Discovery group)<br />Dynamic and large-scale networked systems (Data Communications Software group)<br />Intelligent multimodal information access (Content-Based Image and Information Retrieval Group)<br />Machine learning and neuroscience (Statistical Machine Learning group)<br />Machine learning for structured data (Kernel Machines, Pattern Analysis and Computational Biology group)<br />Machine learning methods for infectious disease epidemiology (Bayesian Statistics Group)<br />Probabilistic modeling and machine learning (Complex Systems Computation group)<br />Statistical machine learning (Statistical Machine Learning group)<br />Analysing ubiquitous sensor data (HIIT-Wide Focus Area)<br />Interactive visualization (HIIT-Wide Focus Area)<br />Affective computing and BCI (HIIT-Wide Focus Area)<br />Intelligent user interfaces and/or recommender systems (HIIT-Wide Focus Area)<br />Information retrieval and HCI (HIIT-Wide Focus Area)<br />Machine learning and data analysis, especially information retrieval, HCI, text and context data (HIIT-Wide Focus Area)<br />Probabilistic modeling and data analysis for bioinformatics (HIIT-Wide Focus Area)</p>

<p>More at http://www.hiit.fi/postdoc-call-2013</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/42166/software-for-genome-assembly</guid>
	<pubDate>Sun, 30 Aug 2020 09:51:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/42166/software-for-genome-assembly</link>
	<title><![CDATA[Software for genome assembly !]]></title>
	<description><![CDATA[<p>List of bioinformatics tools/Software Website References for genome assembly:</p><p>1 Falcon&nbsp;https://github.com/PacificBiosciences/pb-assembly</p><p>2 Canu assembler http://canu.readthedocs.io/en/latest/index.html</p><p>3 Miniasm assembler https://github.com/lh3/miniasm</p><p>4 PBJelly scaffolding tool https://sourceforge.net/projects/pb-jelly/</p><p>5 ARCS scaffolding tool https://github.com/bcgsc/arcs</p><p>6 Redundans reduction and scaffolding tool https://github.com/Gabaldonlab/redundans</p><p>7 Arrow error correction https://github.com/PacificBiosciences/ GenomicConsensus</p><p>8 PILON error correction https://github.com/broadinstitute/pilon/wiki</p><p>9 BUSCO single copy gene markers http://busco.ezlab.org/</p><p>10 Bandage graph assembly viewer https://rrwick.github.io/Bandage/</p><p>11 Gepard dotter http://cube.univie.ac.at/gepard</p><p>12 MUMmer aligner and plotter http://mummer.sourceforge.net/</p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4351/cpcri-kasaragod-bioinformatics-pa</guid>
  <pubDate>Sat, 07 Sep 2013 14:15:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[CPCRI Kasaragod Bioinformatics PA]]></title>
  <description><![CDATA[
<p>CENTRAL PLANTATION CROPS RESEARCH INSTITUTE<br />(Indian Council of Agricultural Research)<br />KASARAGOD -671 124, KERALA</p>

<p>WALK-IN-INTERVIEW</p>

<p>Walk-in-test cum interview for selection to the following temporary assignments sanctioned under the DBT sponsored adhoc time bound research scheme entitled "Establishment of a Sub-DIC" will be held at CPCRl, Kudlu PO, Kasaragod District, Kerala -6711 24 on the date and time indicated against each:</p>

<p>Project Assistant</p>

<p>    Qualification: Essential: Masters Degree in Bioinformatics / B.Tech Degree in Bioinformatics</p>

<p>    Desirable: 1. Experience in the field of bioinformatics<br />    2. M.Phil / Doctoral degree in the field</p>

<p>    Date of interview 24.09.2013 at 10.00 a.m.</p>

<p>Trainee – 2 Posts</p>

<p>    Essential: Masters Degree in Bioinformatics or B.Tech Degree in Bioinformatics.</p>

<p>    Date of interview 25.09.2013 at 10.00 a.m.</p>

<p>Studentship – 2 Posts</p>

<p>    Essential Final Year/Semester students of MSc Bioinformatics or B.Tech Bioinformatics</p>

<p>    Date of Interview 25.09.2013 at 10.00 a.m.</p>

<p>The candidates fulfilling the above eligibility criteria for Item No.1 &amp; II shall apply online and walk-in for a written test and interview at CPCRI, Kasaragod on the respective dates at 10.00 a.m. The candidates for Studentship should submit the application through their Head of the Department. They shall also bring with them a set of bio data and original certificates in proof of age, educational qualifications, experience etc. Candidates who fail to produce the original of the Degree/PO certificates OR provisional certificate will not be allowed to attend the test / interview. Those who are qualified in written test will only be permitted to attend the interview.</p>

<p>No TA will be paid for the journey for attending the interview.</p>

<p>Advertisement: http://www.cpcri.gov.in/images/images/opportunity/sep4_opp.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43256/senior-scientist-bioinformatics-eurofins-genomics-india-pvt-ltd-bengaluru</guid>
  <pubDate>Sat, 14 Aug 2021 13:17:36 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Scientist bioinformatics @ Eurofins Genomics India Pvt Ltd, Bengaluru.]]></title>
  <description><![CDATA[
<p>Eurofins hiring @ Eurofins Genomics India Pvt Ltd, Bengaluru.</p>

<p>Designation: Senior Scientist bioinformatics<br />Experience: 8-9 years of experience in bioinformatics analysis of various NGS applications such as WGS, RNASeq, Metagenome, small RNA.</p>

<p>Location: Bangalore</p>

<p>Roles &amp; Responsibilities:<br />-Develop NGS pipeline for analysis and interpretation of NGS data<br />-Organizing and managing large scale genomic data<br />-Should have experience in NGS data analysis, such as WGS, RNASeq, Small RNA, Metagenome (16S, ITS, Whole metagenome)etc.<br />-Should also have good programming skills in perl or python, PHP,J Query, MySql.<br />-Manage project timelines and deliverables.<br />-Implement and execute data processing workflows and automate the pipelines.</p>

<p>If you are interested, please send your profile to me at arpitaghosh@eurofins.com with “Senior Scientist bioinformatics for Genomics” as the subject.</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4654/la-trobe-university-melbourne-australia</guid>
  <pubDate>Fri, 20 Sep 2013 13:05:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[La Trobe University, Melbourne, Australia]]></title>
  <description><![CDATA[
<p>La Trobe University, Melbourne, Australia</p>

<p>An exciting opportunity exists for a highly motivated and enthusiastic bioinformatics researcher to work in the Exosome, Secretome and Systems Biology laboratory of Dr Suresh Mathivanan. This position is funded through the National Institutes of Health (NIH) USA, to study the role of extracellular RNA or ExRNA in intercellular communication.</p>

<p>The successful applicant will be involved in collaborative bioinformatics research with more than 30 American Universities/Institutes.  The ExRNA consortium is a multi-institute USD 17 million funded program which has 5 primary aims: to understand the biogenesis of ExRNA (vesicles and non-vesicles), to explore the use of ExRNA in biomarker research, to establish a reference profile of ExRNA in various disease conditions, to explore the role of ExRNA in therapeutic purposes and to manage the generated data through a reference portal.  The bioinformatics component is critical in managing and analysing the data generated by the entire consortium.  The researcher is required to contribute to the management and perform the analysis of ExRNA data.</p>

<p>The candidate to succeed, you will possess:</p>

<p>Experience in the analysis and modelling of data, including the capacity to integrate data from a range of sources and of uneven quality.</p>

<p>Evidence of experience in research and of the ability to work effectively under limited supervision or independently.</p>

<p>A record of contribution to publications, conference papers and/or reports, or professional or technical contributions which provide evidence of research potential.</p>

<p>Completion of a doctoral degree in bioinformatics or biostatistics with a focus on transcriptomic data will be highly regarded.</p>

<p>Preference will be given to applicants with competence in programming (JavaScript, Perl/Python), any web-based applications (PHP, ZOPE) and relational databases (MySQL).</p>

<p>Closing date:  30 September 2013</p>

<p>Position Enquiries: Dr Suresh Mathivanan (s.mathivanan@latrobe.edu.au)</p>

<p>More at http://www.mathivananlab.org/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43890/immediate-opening-for-senior-and-lead-bioinformatics-engineers-at-medgenome</guid>
  <pubDate>Sat, 04 Jun 2022 09:00:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Immediate opening for senior and lead bioinformatics engineers at MedGenome]]></title>
  <description><![CDATA[
<p>Immediate opening for senior and lead bioinformatics engineers at MedGenome</p>

<p>Mandatory requirements<br />Knowledge of #Python,#PERL,#R (one or more) and shell environment (#linux )<br />Knowledge about database - #mysql, #oracle, #mongodb (one or more)<br />Past industry experience &gt;= 2 years or equivalent</p>

<p>Other skill sets<br />Knowledge of #nextflow and/or #snakemake<br />Basic knowledge of bioinformatics/genomics</p>

<p>Send your applications to careers@medgenome.com</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4656/pandey-lab</guid>
  <pubDate>Fri, 20 Sep 2013 13:19:18 -0500</pubDate>
  <link></link>
  <title><![CDATA[Pandey Lab]]></title>
  <description><![CDATA[
<p>The Pandey Lab at Johns Hopkins University is a Systems Biology lab that combines molecular biology, analytical chemistry and computational biology with various "Omics" technologies including genomics and proteomics to understand signaling pathways and to identify therapeutic targets and biomarkers in a number of cancers.</p>

<p>More at http://pandeylab.igm.jhmi.edu/</p>

<p>http://scholar.google.com/citations?user=OhuG0FcAAAAJ&amp;hl=en</p>
]]></description>
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<item>
	<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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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4873/vveks-lab</guid>
  <pubDate>Thu, 26 Sep 2013 11:11:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Vvek's Lab]]></title>
  <description><![CDATA[
<p>Broad Area of Research: RNA biology (microRNA, lncRNA), Stem cells, Functional genomics, Epigenomics and Cancer</p>

<p>RNAs, especially non-coding RNAs (such as microRNA, long ncRNAs) are recently identified to be very abundant in mammalian organisms and play some key roles in gene expression regulation, gene silencing, and also implicated in disease progression, stem cell pluripotency etc. Current research activities of our lab include analysis of expression pattern of ncRNAs by microarray and next-gen sequencing data and understanding the role of miRNAs or other regulatory RNAs in various diseases, especially cancer and validation by reporter assays (renilla/luciferase) and other experimental tools.</p>

<p>More @ http://vvekslab.in/index.html</p>
]]></description>
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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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