<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28884?offset=690</link>
	<atom:link href="https://bioinformaticsonline.com/related/28884?offset=690" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7569/phd-at-university-of-calgary</guid>
  <pubDate>Fri, 27 Dec 2013 20:24:39 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD at University of Calgary]]></title>
  <description><![CDATA[
<p>Institution/Company: <br />University of Calgary<br />Location: <br />Calgary, AB<br />Job Description: </p>

<p>Novel diagnostic platform for detection of Osteoarthritis</p>

<p>I invite applications from highly motivated individuals to join my laboratory as a PhD student in Systems Biology at the University of Calgary McCaig Institute for Bone and Joint Health. This project is aimed at characterizing the networks of physical (protein-protein) interactions underlying inflammatory processes in patients with Osteoarthritis and how this differs from patients with Rheumatoid Arthritis and normal individuals. This work will eventually lead to the development of a novel diagnostic platform for the non-invasive and accurate detection of early Osteoarthritis. The selected candidate will use state-of-the-art computational methodologies to systematically analyze proteomic data, and develop /implement new algorithms to identify protein and functional interaction networks from high throughput experimental data. The individual will also benefit by working closely with experts at the UofC and UofA through an AIHS Alberta Osteoarthritis Team Grant which includes experts from all pillars of health research. The candidate will also be supported to attend bioinformatics workshops and conferences to advance and disseminate their research.<br />Qualifications: The ideal candidate will have a Master’s degree in Computational Biology, Bioinformatics, or equivalent with strong background knowledge of the Biological Sciences, Biochemistry, and Microbiology. The individual should additionally have experience in handling high-throughput data sets as well as programming skills. The candidate will be registered as a PhD student in Dr. Krawetz’s laboratory, located in the new state-of-the-art Health Research Innovation Centre at the UofC. The individual will have strong verbal and written skills and the ability to work efficiently in a team environment.</p>

<p>In addition to the outstanding research opportunities available in this setting, students also enjoy the many cultural and sporting amenities provided in the city of Calgary, and can take advantage of the unparalleled skiing and hiking in the Rocky Mountains that are less than an hour away.</p>

<p>Candidates must be academically competitive and will be expected to apply for external funding. The stipend is $25,000/yr. For outstanding PhD students, internal top-up award opportunities are available on a competitive basis. If interested in joining the lab, please contact Dr. Krawetz directly at rkrawetz@ucalgary.ca and provide the following information:</p>

<p>- Short cover letter explaining your interest in the lab<br />- Resume<br />- Scanned copy of transcript or listing of course grades<br />- Names and contact information for two individuals who will be willing to provide letters of reference</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38008/quast-lg-versatile-genome-assembly-evaluation</guid>
	<pubDate>Thu, 25 Oct 2018 10:46:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38008/quast-lg-versatile-genome-assembly-evaluation</link>
	<title><![CDATA[QUAST-LG: Versatile genome assembly evaluation]]></title>
	<description><![CDATA[<p>QUAST-LG-a tool that compares large genomic de novo assemblies against reference sequences and computes relevant quality metrics. Since genomes generally cannot be reconstructed completely due to complex repeat patterns and low coverage regions, we introduce a concept of upper bound assembly for a given genome and set of reads, and compute theoretical limits on assembly correctness and completeness. Using QUAST-LG, we show how close the assemblies are to the theoretical optimum, and how far this optimum is from the finished reference.</p>
<h4>AVAILABILITY AND IMPLEMENTATION:</h4>
<p>http://cab.spbu.ru/software/quast-lg</p><p>Address of the bookmark: <a href="http://cab.spbu.ru/software/quast-lg/" rel="nofollow">http://cab.spbu.ru/software/quast-lg/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7215/postdoc-positions-in-computational-biology-center-for-genomic-science-milan-italy</guid>
  <pubDate>Thu, 12 Dec 2013 18:34:47 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc positions in computational biology - Center for Genomic Science - Milan, Italy]]></title>
  <description><![CDATA[
<p>Job Description: three postdoc positions in computational biology are available at the Center for Genomic Science in Milan (Italy):</p>

<p>- Development of computational methods to investigate the interplay between epigenetic and genetic layers and their role in tumor progression, by integrating genomic, epigenomic and transcriptional data. PI: Mattia Pelizzola (http://tiny.cc/comEpi)<br />- Epigenome and transcriptome analysis in mouse models of Hepatocellular Carcinoma. PI: Bruno Amati - Small and long non-coding RNAs in cancer stem cells. PI: Francesco Nicassio</p>

<p>All projects will benefit from the availability of both in-house and publicly available next-generation sequencing datasets. Familiarity with Linux environment, programming skills (especially in R) and a background in either computational biology, or physics/engineering/math will be advantageous.</p>

<p>Deadline for the application January 6th, to apply: http://genomics.iit.it/resources.html</p>

<p>Start date: March 1st, 2014</p>

<p>Duration: 1+2 years</p>

<p>Contact Person (Referent): Mattia Pelizzola</p>

<p>Ref. E-Mail: mattia.pelizzola@iit.it</p>

<p>Tel: 0039-02-94375058<br />Group Web Page: http://genomics.iit.it</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7383/embo-practical-course-on-bioinformatics-and-genomes-analyses-at-hellenic-pasteur-institute-athens-greece</guid>
  <pubDate>Sat, 21 Dec 2013 10:00:24 -0600</pubDate>
  <link></link>
  <title><![CDATA[EMBO practical Course on  "Bioinformatics and Genomes Analyses" at Hellenic Pasteur Institute, Athens, Greece]]></title>
  <description><![CDATA[
<p>The main objectives of this Practical Course are to strengthen skills <br />of PhD students and young researchers in the domain of Bioinformatics <br />and Genome Data Analyses on the use of advanced fundamental algorithms <br />and their applications in genome studies.</p>

<p>The course topics will include theoretical and practical aspects in:<br />- Genomes comparisons,<br />- Evolutionary analyses (orthologs, paralogs and ancestral genomes <br />inference),<br />- RNAseq and Next Generation Sequencing (including algorithms, methods <br />and sequence mapping tools, data analyses and applications).</p>

<p>The course programme will be centred on theoretical presentations <br />followed by practical sessions. Practical sessions in a Linux <br />environment will involve Unix shell and Perl scripting. Participants <br />are assumed to be familiar with this environment.</p>

<p>A series of lectures delivered by prominent scientists on recent hot <br />topics in genome (Viruses, Prokaryotes, Eukaryotes) studies will be <br />included in the programme and future research perspectives will be <br />highlighted.</p>

<p>The topics that will be included in the course programme are similar <br />to those included in previously organized courses:http://www.pasteur.fr/~tekaia/BGA_courses.html</p>

<p>The course is aimed at motivated Ph.D students and Post-Doctoral <br />Researchers in Academic Institutions, with background in Mathematics, <br />Statistics, Biology or Computer Science and who are involved in <br />Bioinformatics and Genomes studies.</p>

<p>Selection of participants will be based on their background, running <br />research projects and on expressed motivations.<br />Selected students will have free accommodation and meals and are <br />expected to contribute with 200 euros and to pay for their travel <br />expenses.<br />All participants (students and invited speakers) will stay in the same <br />hotel.</p>

<p>Detailed indications are available on the course web site: http://events.embo.org/14-comparative-genomics/index.html</p>

<p>Candidates are advised to complete carefully the application form, <br />together with an abstract of at least one of their running projects, a <br />"one-page CV" and a personal Identity Picture (Photo).</p>

<p>The application deadline is March 14, 2014.</p>

<p>The organizers:<br />Menelaos Manoussakis, Hellenic Pasteur Institute, Athens, Greece.<br />Evdokia Karagouni, Hellenic Pasteur Institute, Athens - Greece.<br />Evie Melanitou,  Institut Pasteur Paris - France.<br />Fredj Tekaia ( Institut Pasteur Paris France)<br />URL: http://www.pasteur.fr/~tekaia/BGA_courses.html</p>

<p>Date: 5 – 17 May, 2014. <br />More at http://events.embo.org/14-comparative-genomics/index.html<br />will take place in the ,</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38224/novograph-building-whole-genome-graphs-from-long-read-based-de-novo-assemblies</guid>
	<pubDate>Thu, 15 Nov 2018 12:48:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38224/novograph-building-whole-genome-graphs-from-long-read-based-de-novo-assemblies</link>
	<title><![CDATA[NovoGraph: building whole genome graphs from long-read-based de novo assemblies]]></title>
	<description><![CDATA[<p><span>NovoGraph: building whole genome graphs from long-read-based de novo assemblies</span></p>
<p><span><span>An algorithmically novel approach to construct a genome graph representation of long-read-based&nbsp;</span><em>de novo</em><span>&nbsp;sequence assemblies. We then provide a proof of principle by creating a genome graph of seven ethnically-diverse human genomes.</span></span></p>
<p>&nbsp;</p>
<p>https://f1000research.com/articles/7-1391/v1</p><p>Address of the bookmark: <a href="https://github.com/NCBI-Hackathons/NovoGraph" rel="nofollow">https://github.com/NCBI-Hackathons/NovoGraph</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7753/jrf-pondicherry-university</guid>
  <pubDate>Fri, 03 Jan 2014 16:48:56 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF @ PONDICHERRY UNIVERSITY]]></title>
  <description><![CDATA[
<p>PONDICHERRY UNIVERSITY</p>

<p>CENTRE FOR BIOINFORMATICS</p>

<p>PUDUCHERRY</p>

<p>Applications are invited for one Project Assistant to work in the UGC sponsored Research Award "Molecular Docking and Dynamics studies to understand the interacting mechanism of oncogenic 101 protein with its cellular proteins".</p>

<p>The duration for the fellowship is 12months only with consolidated pay ofRs. 5,000 per month.</p>

<p>Application on plain paper with following details: Name, Address, Data of Birth, Father's Name, Nationality, Educational Qualification (SSLC onwards-enclose attested copies of certificate) and Researcb Experience may be addressed to Dr. R. Krishna, Principle Investigator (PI), UGC Research Award, Centre for Bioinformatics, Pondicherry University, Pondicherry - 605 014.</p>

<p>Application should reach in January 261h , 2013.</p>

<p>Essential Qualification: M.Sc. in Bioinformatics/Biophysics with good academic record.</p>

<p>Qualification for Project Fellow:</p>

<p>M.Sc in Bioinformatics/Biophysics.</p>

<p>The person to be considered for appointment as Project Fellow must have second class master degree with a minimum of 55% marks in the subject concerned or a related subject.</p>

<p>The candidate to be appointed as Project Fellows should be below thc age of40 years at the time of appointment.</p>

<p>Desirable Qualification for this Project: Research Experience in Small/Macromolecule Crystallography and Structural Bioinformatics.</p>

<p>For more details, refer the web site: www.pondiuni.edu.in/sites/default/files/BIC-311213.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38481/arcs-scaffolding-genome-drafts-with-linked-reads</guid>
	<pubDate>Mon, 17 Dec 2018 17:40:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38481/arcs-scaffolding-genome-drafts-with-linked-reads</link>
	<title><![CDATA[ARCS: scaffolding genome drafts with linked reads]]></title>
	<description><![CDATA[<p>ARCS requires two input files:</p>
<ul>
<li>Draft assembly fasta file</li>
<li>Interleaved linked reads file (Barcode sequence expected in the BX tag of the read header or in the form "@readname_barcode" ; Run&nbsp;<a href="https://support.10xgenomics.com/genome-exome/software/pipelines/latest/what-is-long-ranger">Long Ranger basic</a>&nbsp;on raw chromium reads to produce this interleaved file)</li>
<li></li>
</ul><p>Address of the bookmark: <a href="https://github.com/bcgsc/ARCS/" rel="nofollow">https://github.com/bcgsc/ARCS/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7998/faculty-positions-at-iiit-allahabad</guid>
  <pubDate>Thu, 23 Jan 2014 06:19:34 -0600</pubDate>
  <link></link>
  <title><![CDATA[FACULTY POSITIONS AT IIIT-ALLAHABAD]]></title>
  <description><![CDATA[
<p>OPENINGS OF FACULTY POSITIONS AT IIIT-ALLAHABAD</p>

<p>(Under Tenure-Track Model)</p>

<p>Open Advt. No IIITA/DIC/16012014</p>

<p>IIIT-Allahabad has several Openings for the Faculty positions at the Assistant Professor level.</p>

<p>It is a regular tenure-track faculty positions for 3-5 years in teaching and research. A regular faculty is expected to engage heavily in research and teaching. The eligibility criteria for regular faculty positions are similar as in IITs. For an Assistant Professor position, a candidate must have a PhD (in IT/Computer Science &amp;/or Engineering/Electrical, Electronics &amp;/or Communication Engineering/etc; for interdisciplinary areas the PhD may be in an appropriate field), plus three years experience. However, for PhDs from a well known University/Institute (e.g. IITs/IISc/TIFR/ISI in India or well known research universities across the world), and a good research/academic record, the 3 years experience requirement may be waived.</p>

<p>The pay scale for faculty is same as in IITs. Other benefits include initiation research grant, travel support, book grant, professional society membership, etc., and personal benefits such as medical/LTC, on campus subsidized family housing with excellent modern infrastructural facilities.</p>

<p>Areas of Interest</p>

<p>IIIT-Allahabad aims to build strong research groups in important and emerging areas in CS/IT/ECE as well as in emerging interdisciplinary areas, and applications are invited in all these areas. Some of the areas of special interest, besides strengthening the existing research areas, are : Software Engineering, Theoretical Computer Science, Cyber Physical Systems, Robotics, Network science, Digital Media, Computational neuroscience, Machine learning, Healthcare informatics, Computational Biology, Communications networks (both at hardware and protocol levels), Circuits (including VLSI, analog, low power, etc), Energy systems and technologies, Biomedical electronics and systems, Computer Architecture, signal/image processing, Embedded and control systems.</p>

<p>Application Process</p>

<p>Interested candidates can apply by sending their detailed CV with list of publications clearly mentioning Journal names and citation index with three references through email entitled “Faculty positions at IIIT Allahabad” to faculty.applications@iiita.ac.in. Do not send your applications in any other email addresses. Applications will be considered regularly, hence there is no deadline for applying.</p>

<p>Important Clarifications on Eligibility</p>

<p>A PhD in CS/IT (or other disciplines, as announced) is the minimum expected requirement for an Assistant Professor.</p>

<p>Advertisement: http://iiita.ac.in/pub/Faculty-Position-IIITA1.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/38886/evaluation-of-genome-assembly-software-based-on-long-reads</guid>
	<pubDate>Fri, 01 Feb 2019 11:55:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/file/view/38886/evaluation-of-genome-assembly-software-based-on-long-reads</link>
	<title><![CDATA[Evaluation of genome assembly software based on long reads]]></title>
	<description><![CDATA[<p>TGS technologies have been used to produce highly accurate de novo assemblies of hundreds of microbial genomes and highly contiguous reconstructions of many dozens of plant and animal genomes, enabling new insights into evolution and sequence diversity. They have also been applied to resequencing analyses, to create detailed maps of structural variations in many species. Also, these new technologies have been used to fill in many of the gaps in the human reference genome.</p><p>In this report, we compare and evaluate several genome assembly software based on TSG technology. The experimentation has been performed on 4 reference genomes and the results evaluated with the QUAST software. The 11 software that have been evaluated are: Celera Assembler , Falcon , Miniasm, Newbler , SGA Assembler, Smartdenovo, Abruijn, Ra, DBG2OLC, Spades and Cerulean. The first 8 software use only long reads, while the 3 last software can merge long and short reads</p>]]></description>
	<dc:creator>BioStar</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/38886" length="382699" type="application/pdf" />
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8198/scientist-positions-at-rajiv-gandhi-centre-for-biotechnology</guid>
  <pubDate>Thu, 06 Feb 2014 23:18:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist Positions at Rajiv Gandhi Centre for Biotechnology]]></title>
  <description><![CDATA[
<p>Rajiv Gandhi Centre for Biotechnology</p>

<p>An Autonomous National Institute under Government of India,<br />Ministry of Science &amp; Technology<br />Department of Biotechnology</p>

<p>No: RGCB/ Advt./2014/1   <br />January 24, 2014</p>

<p>Scientist Positions</p>

<p>Group Leader in Computational Biology/Bioinformatics<br />A highly motivated and innovative individual who will pursue basic research, solve biological problems with emphasis on computational and quantitative experimental methods and build active bridges to translational research. The scientist will also provide computational biology support to analyze complex data sets generated by RGCB scientists and collaborators.</p>

<p>Location: Thiruvananthapuram (Trivandrum)</p>

<p>The above positions will be at the E-II, F or equivalent levels. For senior applicants with an outstanding track record, an option of a contract career path for research excellence at Scientist G or H equivalent level can also be discussed. All positions will initially be for 5 years. Essential and desired qualifications as well as other relevant details for all the above positions are posted on the RGCB website (http://www.rgcb.res.in). The last date for receiving applications is March 14, 2014.   </p>

<p>Sd/-<br />Director</p>

<p>Rajiv Gandhi Centre for Biotechnology<br />Thycaud, P.O., Poojappura,<br />Thiruvananthapuram, Kerala, India-695 014<br />Ph.: 91-471-2529400 (30 Lines), 2347975, 2348104, 2348753, 2345899<br />Fax: 91-471-2348096, 2346333</p>

<p>More at http://rgcb.res.in/jobs.html</p>
]]></description>
</item>

</channel>
</rss>