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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27331?offset=70</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44727/postdoctoral-scholar-in-bacterial-evolution-at-pathogen-and-microbiome-institute-at-northern-arizona-university</guid>
  <pubDate>Fri, 13 Dec 2024 12:49:16 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Scholar in Bacterial Evolution at Pathogen and Microbiome Institute at Northern Arizona University]]></title>
  <description><![CDATA[
<p>We are pleased to announce a Postdoctoral Scholar position to study<br />bacterial evolution at the Pathogen and Microbiome Institute at<br />Northern Arizona University with Professor Paul Keim. The scholar<br />will have the opportunity also work with Professor Sam Sheppard at<br />The University of Oxford on joint projects. See our recent paper<br />on interspecific gene flow in Campylobacter. (DOI:<br />https://doi.org/10.1128/mbio.00581-24)</p>

<p>The job description: "This research position focuses on the science<br />of bacterial evolution. It will consist of researching theoretical<br />principles, but could include translational applications. Phylogenomic<br />and bioinformatic analysis of bacterial populations in nature or<br />in laboratory experiments will be a key component of the work. Prior<br />experience is an asset though training will be possible at PMI.<br />Likewise, laboratory microbiological, molecular, and biochemical<br />skills are an asset though not essential. Communication and critical<br />thinking skills are essential for performing the work and for<br />communicating to the local and international scientific communities.<br />Participating in team or independent grant writing to obtain research<br />funding will be required. Student mentoring is a part of the NAU<br />mission and is a partial expectation."</p>

<p>https://hr.peoplesoft.nau.edu/psp/ph92prta/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&amp;Action=U&amp;FOCUS=Applicant&amp;SiteId=1&amp;JobOpeningId=608024&amp;PostingSeq=1</p>

<p>Northern Arizona University is located in Flagstaff, Arizona, a<br />beautiful mountain town with a surprisingly vibrant restaurant<br />scene. Located a little over an hour from the Grand Canyon and ~45<br />min from Sedona, Flagstaff is a hiker's paradise. In fact, the city<br />of Flagstaff operates more than 50 miles of unpaved trails and there<br />are, on average, 266 sunny days per year with which to enjoy them.<br />At 7000 ft in elevation, Flagstaff experiences all four seasons,<br />but thesummers are mild and, in the winter, you can be on the ski<br />slopes within 30 min! https://www.flagstaffarizona.org/</p>

<p>As mentioned, joint projects with Professor Sheppard at Oxford<br />University are possible, including travel to his laboratory in the<br />United Kingdom. https://www.biology.ox.ac.uk/people/samuel-sheppard</p>

<p>Contact Information:<br />Paul.Keim@nau.edu</p>

<p>Paul S. Keim, Ph.D.<br />Regents Professor, &amp;<br />Cowden Endowed Chair of Microbiology<br />Northern Arizona University<br />Flagstaff, AZ 86011-4073</p>

<p>Paul S Keim</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/7568/oldest-hominin-dna-sequenced</guid>
	<pubDate>Fri, 27 Dec 2013 19:58:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/7568/oldest-hominin-dna-sequenced</link>
	<title><![CDATA[Oldest Hominin DNA Sequenced]]></title>
	<description><![CDATA[<p>Matthias Meyer and his team from the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, have developed new techniques for retrieving and sequencing highly degraded ancient DNA. They then joined forces with Juan-Luis Arsuaga and applied the new techniques to a cave bear from the Sima de los Huesos site. After this success, the researchers sampled two grams of bone powder from a hominin thigh bone from the cave. They extracted its DNA and sequenced the genome of the mitochondria or mtDNA, a small part of the genome that is passed down along the maternal line and occurs in many copies per cell. The researchers then compared this ancient mitochondrial DNA with Neandertals, Denisovans, present-day humans, and apes.<br /><br />From the missing mutations in the old DNA sequences the researchers calculated that the Sima hominin lived about 400,000 years ago. They also found that it shared a common ancestor with the Denisovans, an extinct archaic group from Asia related to the Neandertals, about 700,000 years ago. "The fact that the mtDNA of the Sima de los Huesos hominin shares a common ancestor with Denisovan rather than Neandertal mtDNAs is unexpected since its skeletal remains carry Neandertal-derived features," says Matthias Meyer. Considering their age and Neandertal-like features, the Sima hominins were likely related to the population ancestral to both Neandertals and Denisovans. Another possibility is that gene flow from yet another group of hominins brought the Denisova-like mtDNA into the Sima hominins or their ancestors.<br /><br /></p><p>Reference</p><p>http://www.sciencedaily.com/releases/2013/12/131204132018.htm</p>]]></description>
	<dc:creator>Surajeet</dc:creator>
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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/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>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10841/ra-at-iisr-kozhikode</guid>
  <pubDate>Thu, 15 May 2014 10:08:09 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA at IISR Kozhikode]]></title>
  <description><![CDATA[
<p>INDIAN INSTITUTE OF SPICES RESEARCH<br />(Indian Council of Agricultural Research)<br />Marikunnu P.O., Kozhikode – 673 012, Kerala</p>

<p>Walk- in- Test cum Interview (based on test) for the selection of Research Associate</p>

<p>under the scheme “Distributed Information Sub Centre –DISC” &amp; Research Assistant under scheme “Phytophthora, Fusarium and Ralstonia diseases of Horticultural and Field Crops” will be held at this Institute as per details indicated below.</p>

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

<p>Name of the post : Research Associate</p>

<p>Date of Interview : 21-05-2014 at 10.00 AM</p>

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

<p>Qualifications : a)Essential</p>

<p>Ph.D Degree in Bioinformatics OR :  Masters degree in Bioinformatics with a minimum of<br />60% marks or equivalent OGPA with at least two years research experience as evidenced from fellowship/ associateship/training/published papers etc.</p>

<p>b)Desirable: Experience in NGS data analysis.</p>

<p>Emoluments : Rs. 23,000/- per month + HRA (Masters Degree Holders)</p>

<p>Rs. 24,000/- per month + HRA (Ph.D Degree Holders)</p>

<p>Upper age limit : 40 years for Men &amp; 45 years for Women as on date of Interview (Upper Age limits are relaxable for SC, ST and OBC candidates as per Govt. of India norms (at present 5 years for SC/ST and 3 years for OBC)</p>

<p>Duration of Project : Till 31-03-2017.</p>

<p>Title of Assigment : Research Assistant (on contract basis)</p>

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

<p>Qualification : Essential : Post Graduation in Bioinformatics and  Minimum one year experience in NGS data analysis</p>

<p>Desirable : Experience in Perl/Python/R</p>

<p>Remuneration : Rs. 20,000/- per month (consolidated)</p>

<p>Scope of work :</p>

<p>1. Analysis of different file formats and their conversions.</p>

<p>2. Assessing the quality of data and filtering of raw reads.<br />3. Assembling the raw reads-de novo as well as reference  mapping.<br />4. Compression of aligned reads using Jam tools<br />5. RNA-seq. Analysis<br />6. Differential expression testing involving Normalization,  Statistical testing, heat map generation &amp; hierarchical  clustering<br />7. Annotating the assembled genome and geneet testing  and their validation<br />8. Metabolic pathway analysis<br />9. Comparative genomics<br />10. Setting up of genome browsers.</p>

<p>Period of Assigment : Initially for six months.</p>

<p>Date &amp; Venue of Interview : 21-05-2014 at IISR, Kozhikode at 10.00 AM</p>

<p>More at http://www.spices.res.in/pdf/disc-advtmnt.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/11107/the-minerva-research-group-for-bioinformatics</guid>
  <pubDate>Tue, 27 May 2014 15:48:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[The Minerva Research Group for Bioinformatics]]></title>
  <description><![CDATA[
<p>The focus of the bioinformatics group is to use computational approaches to gain an insight into genome evolution in primates.</p>

<p>http://www.eva.mpg.de/genetics/bioinformatics/overview.html?Fsize=0%2C%20%40%2F%27</p>

<p>Kelso Group<br />Department of Evolutionary Genetics<br />Max Planck Institute for Evolutionary Anthropology<br />Deutscher Platz 6<br />04103 Leipzig<br />Germany<br />Phone: +49 341 3550 500</p>

<p>Job: <br />http://www.eva.mpg.de/genetics/bioinformatics/jobs.html?Fsize=0%2C%2B%40</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11355/genomics-and-personalized-medicine-breakthroughs</guid>
	<pubDate>Sun, 01 Jun 2014 23:40:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11355/genomics-and-personalized-medicine-breakthroughs</link>
	<title><![CDATA[Genomics and Personalized Medicine Breakthroughs]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/VAR-1vNc0TE" frameborder="0" allowfullscreen></iframe>http://bit.ly/e8QGzY Human genome mapping is now enabling a breakthrough in medical innovation -- personalized medicine. What does this mean for patients? We can now identify predispositions to disease, predict how we metabolize drugs, and figure out what kinds of treatments we may respond to, and even determine when a drug may give us an adverse reaction. All medical specialties benefit from human genome intelligence -- oncology saw the first impacts -- but advances are now being seen in cardiology, obstetrics and gynecology, pediatric diseases, gastroenterology, rheumatology, immunology and other areas. This video covers the areas that genetic medicine is impacting and where the future of genomic medicine is heading.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/12288/genomic-medicine-bruce-korf-2014</guid>
	<pubDate>Tue, 24 Jun 2014 07:58:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/12288/genomic-medicine-bruce-korf-2014</link>
	<title><![CDATA[Genomic Medicine - Bruce Korf (2014)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/FYldIrsXHKw" frameborder="0" allowfullscreen></iframe>May 21, 2014 - Current Topics in Genome Analysis 2014
A lecture series covering contemporary areas in genomics and bioinformatics. More: http://www.genome.gov/COURSE2014]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12787/integrative-genomics-viewer-igv-tutorial</guid>
	<pubDate>Sat, 12 Jul 2014 15:16:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12787/integrative-genomics-viewer-igv-tutorial</link>
	<title><![CDATA[Integrative Genomics Viewer (IGV) tutorial]]></title>
	<description><![CDATA[<p>The <a href="http://www.broadinstitute.org/igv/">Integrative Genomics Viewer (IGV)</a> from the Broad Center allows you to view several types of data files involved in any NGS analysis that employs a reference genome, including how reads from a dataset are mapped, gene annotations, and predicted genetic variants.</p>
<p>http://www.broadinstitute.org/igv/</p><p>Address of the bookmark: <a href="https://wikis.utexas.edu/display/bioiteam/Integrative+Genomics+Viewer+%28IGV%29+tutorial" rel="nofollow">https://wikis.utexas.edu/display/bioiteam/Integrative+Genomics+Viewer+%28IGV%29+tutorial</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</guid>
	<pubDate>Wed, 23 Jul 2014 07:29:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</link>
	<title><![CDATA[COSMOS, our workflow management system for NGS data]]></title>
	<description><![CDATA[<p><strong>COSMOS</strong>, our Python-based management system for implementing large-scale parallel workflows focusing on, but not restricted to, large-scale short-read "NGS" sequencing data is open-access published via <a href="http://bioinformatics.oxfordjournals.org/content/early/2014/06/29/bioinformatics.btu385.abstract">Advance Access</a> in <em>Bioinformatics</em> (<a href="http://scholar.harvard.edu/lancaster/publications/cosmos-python-library-massively-parallel-workflows">Gafni et al. 2014</a>).&nbsp; It is also available for download for non-commercial academic and research purposes at:</p>
<p><strong>&nbsp;<a href="http://cosmos.hms.harvard.edu/">http://cosmos.hms.harvard.edu/</a></strong>.</p><p>Address of the bookmark: <a href="https://cosmos.hms.harvard.edu/" rel="nofollow">https://cosmos.hms.harvard.edu/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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