<?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/31087?offset=1440</link>
	<atom:link href="https://bioinformaticsonline.com/related/31087?offset=1440" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25287/postdoc-position-in-bioinformatics-irccs-milan-italy</guid>
  <pubDate>Wed, 25 Nov 2015 03:38:38 -0600</pubDate>
  <link></link>
  <title><![CDATA[PostDoc position in Bioinformatics - IRCCS - Milan - Italy]]></title>
  <description><![CDATA[
<p>PostDoc position in Bioinformatics</p>

<p>A full-time post-doctoral position for a bioinformatician with experience in managing and analyzing NGS data is available in the Laboratory of Molecular Cardiology at Policlinico San Donato-IRCCS, Milan, Italy. For lab publications, see: http://scholar.google.it/citations?user=wAPKO9wAAAAJ&amp;hl=it&amp;oi=ao</p>

<p>https://www.researchgate.net/profile/Fabio_Martelli</p>

<p>The goal of the project is investigating the regulation and functional role of non coding RNAs in tissue response to hypoxia and ischemia.</p>

<p>We are looking for a candidate that is going to interact with biologists and bioinformaticians to manage and analyze NGS data (mostly RNA-seq) and microarray data.</p>

<p>The successful candidate must have a minimum of 3 years experience in dealing with NGS data, a good command of English and written communication and at least 2 relevant publications as first author in peer reviewed international journals. The candidate is expected to interact with a small international group and to be able also to work independently. Knowledge of programming is a definitive plus, as well as a good statistical background and/or wet molecular biology skills.</p>

<p>Salary is proportional to experience and to the publication record (up to 38 000euro/year before taxes and retirement contribution i.e. IRPEF and INPS).</p>

<p>Please, send your CV by e-mail to Fabio Martelli:</p>

<p>fabio.martelli@grupposandonato.it</p>

<p>Location: Laboratory of Molecular Cardiology at Policlinico San Donato-IRCCS, Milan, Italy.<br />Link: https://www.researchgate.net/profile/Fabio_Martelli<br />Contact person: Fabio Martelli<br />Contact email: fabio.martelli@grupposandonato.it</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34543/acana-an-accurate-and-consistent-alignment-tool-for-dna-sequences</guid>
	<pubDate>Wed, 06 Dec 2017 09:45:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34543/acana-an-accurate-and-consistent-alignment-tool-for-dna-sequences</link>
	<title><![CDATA[ACANA: An accurate and consistent alignment tool for DNA sequences]]></title>
	<description><![CDATA[<p><span>ACANA is an accurate and consistent alignment tool for DNA sequences. ACANA is specifically designed for aligning sequences that share only some moderately conserved regions and/or have a high frequency of long insertions or deletions. It attempts to combine the best of local and global alignments algorithms in searching for evolutionarily related regions of sequences in order to achieve the best alignment. ACANA is also robust to the small changes of alignment parameters, particularly the gap extension score. As an accurate alignment tool, ACANA is particularly useful in comparative sequence analysis for identifying conserved functional regulatory elements.</span></p><p>Address of the bookmark: <a href="https://www.niehs.nih.gov/research/resources/software/biostatistics/acana/index.cfm" rel="nofollow">https://www.niehs.nih.gov/research/resources/software/biostatistics/acana/index.cfm</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25301/jrf-bioinformatics-at-cuk</guid>
  <pubDate>Sat, 28 Nov 2015 03:26:21 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at CUK]]></title>
  <description><![CDATA[
<p>JRF job opportunity in Central University of Kerala (CUK) on temporary basis </p>

<p>Project Title : "Targeting TAL effector mediated susceptibility for durable and broad-spectrum resistance to bacterial blight in Rice"</p>

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

<p>Qualification : MSc in any subject under Life Science or Bioinformatics/ B.Tech in Bioinformatics + 1 yr experience </p>

<p>Stipend : Rs. 14,000/-</p>

<p>How to apply</p>

<p>Interested candidates are requested to send their applications explaining their interest in the position with an updated CV to Dr. Ginny Antony, Assistant Professor, Department of Plant Science, School of Biological Sciences, Central University of Kerala, Padannakkad, Kasaragod, Kerala - 671 314 email: ginnycuk2013@gmail.com on or before 20th December, 2015.</p>

<p>More at http://cukerala.ac.in/index.php?option=com_content&amp;view=article&amp;id=1022:applications-invited-for-the-post-of-jrf-department-of-plant-science&amp;catid=106&amp;Itemid=593&amp;lang=en</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35400/zpicture-a-dynamic-blastz-alignment-visualization</guid>
	<pubDate>Tue, 30 Jan 2018 16:03:08 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35400/zpicture-a-dynamic-blastz-alignment-visualization</link>
	<title><![CDATA[zPicture: A dynamic blastz alignment visualization]]></title>
	<description><![CDATA[<p><span>zPicture is a dynamic alignment and&nbsp;</span><span>visualization</span><span>&nbsp;tool that is based on blastz alignment program utilized by PipMaker. zPicture alignments can be automatically submitted to rVista 2.0 to identify conserved transcription factor binding sites.</span></p><p>Address of the bookmark: <a href="https://zpicture.dcode.org/" rel="nofollow">https://zpicture.dcode.org/</a></p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25503/assistant-professor-computational-biology-and-bioinformatics-in-navi-mumbai</guid>
  <pubDate>Fri, 04 Dec 2015 20:40:59 -0600</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor - Computational Biology and Bioinformatics in Navi Mumbai]]></title>
  <description><![CDATA[
<p>No. ACTREC / ADVT-A/2/2015 <br />Pay in Pay band and Grade Pay : PB-3 (Rs 15,600-39,100) Pay in pay band Rs 21,900+ G.P. of Rs 7,600 <br />Total emoluments = 82,000/- p.m. &amp; nbsp <br />Educational Qualification : Ph.D. or MD/Ph.D. <br />Experience : Post MD / Ph.D. Research experience of 5 years The last date of application submission is January 15th, 2016. <br />Interested candidates shall send the applications through email: office.sao(at)actrec.gov.in. <br />For More Details : www.actrec.gov.in/data%20files/Vacancies/2015/Faculty-Positions-SOE-24-11-15.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36618/lamsa-fast-split-read-alignment-with-long-approximate-matches</guid>
	<pubDate>Tue, 15 May 2018 04:44:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36618/lamsa-fast-split-read-alignment-with-long-approximate-matches</link>
	<title><![CDATA[LAMSA: fast split read alignment with long approximate matches]]></title>
	<description><![CDATA[LAMSA (Long Approximate Matches-based Split Aligner) is a novel split alignment approach with faster speed and good ability of handling SV events. It is well-suited to align long reads (over thousands of base-pairs).

LAMSA takes takes the advantage of the rareness of SVs to implement a specifically designed two-step strategy. That is, LAMSA initially splits the read into relatively long fragments and co-linearly align them to solve the small variations or sequencing errors, and mitigate the effect of repeats. The alignments of the fragments are then used for implementing a sparse dynamic programming (SDP)-based split alignment approach to handle the large or non-co-linear variants.

We benchmarked LAMSA with simulated and real datasets having various read lengths and sequencing error rates, the results demonstrate that it is substantially faster than the state-of-the-art long read aligners; mean-while, it also has good ability to handle various categories of SVs.

LAMSA is open source and free for non-commercial use.

LAMSA is mainly designed by Bo Liu &amp; Yan Gao and developed by Yan Gao in Center for Bioinformatics, Harbin Institute of Technology, China.<p>Address of the bookmark: <a href="https://github.com/hitbc/LAMSA" rel="nofollow">https://github.com/hitbc/LAMSA</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/25400/arraygen-next-generation-genome-browser-coming-soon</guid>
	<pubDate>Thu, 03 Dec 2015 05:52:09 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/25400/arraygen-next-generation-genome-browser-coming-soon</link>
	<title><![CDATA[ArrayGen Next Generation Genome Browser Coming Soon !!!]]></title>
	<description><![CDATA[<p>The ANG genome browser is a visualization tool, developed by ArrayGen Technologies. This is a fast and an efficient genome browser, built with Javafx and Java swing. ANG genome browser was built for latest next generation sequencing data analysis. It is platform independent and much simpler to use.</p><p>The main features are, it supports many standard file formats such as GFF, BED, GTF, FASTA, VCF, BAM and it can be integrated with other browsers or tools for analysis of genome.</p>]]></description>
	<dc:creator>ArrayGen Technologies</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25410/srfjrf-bioinformatics-at-ciari</guid>
  <pubDate>Fri, 04 Dec 2015 00:10:09 -0600</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF Bioinformatics at CIARI]]></title>
  <description><![CDATA[
<p>Realizing the importance of Island Agriculture to meet the requirements of local population and tourists, Indian Council of Agricultural research (ICAR) established Central Island Agricultural Research Institute, Port Blair on June 23rd, 1978 by merging different regional research stations of ICAR institutes located in Islands. The ultimate aim of CIARI is the developments of island agricultural production technologies which utilizes the strengths of the island and convert the constraints in opportunities, without causing any ill effect to the fragile ecosystem of the island.The institute has made tremendous progress in the Agriculture development of the islands during the last three decades. Keeping in view the natural resources of the islands diversity, fragile ecosystem, research program would be designed to maximize the productivity without disturbing to the islands ecosystem to provide better and decent livelihood and as a source of revenue and resource generation. Research and development in Agriculture sector should cover all disciplines in order to have a balanced progress in all disciplines for the overall benefits of the farmers of these islands.</p>

<p>Position I</p>

<p>Job Title : Junior Research Fellow</p>

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

<p>Project : Establishment of sub distributed information centre</p>

<p>Qualification : M.Sc in Basic Science with NET or B.Sc in professional course with NET or M.Sc in professional course</p>

<p>Desired Experience : Experience in Bioinformatics and molecular biology</p>

<p>Payscale : Rs. 25000 per month</p>

<p>Age Limit : Upto 35 for men and 40 for women with 5 years relaxation to SC/ST and 3 years relaxation for OBC.</p>

<p>Position II</p>

<p>Job Title : Traineeship</p>

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

<p>Project : Establishment of sub distributed information centre</p>

<p>Qualification : B.Sc Bioinformatics /Biotechnology / Life Science / Computer Science</p>

<p>Desired Experience : Experience in Bioinformatics and molecular biology</p>

<p>Payscale : Rs. 8000 per month</p>

<p>Age Limit : Upto 35 for men and 40 for women with 5 years relaxation to SC/ST and 3 years relaxation for OBC.</p>

<p>Position III</p>

<p>Job Title : Studentship</p>

<p>No. of Posts : Two</p>

<p>Project : Establishment of sub distributed information centre</p>

<p>Qualification : B.Sc Bioinformatics /Biotechnology / Life Science / Computer Science</p>

<p>Desired Experience : Experience in Bioinformatics and molecular biology</p>

<p>Payscale : Rs. 8000 per month</p>

<p>Age Limit : Upto 35 for men and 40 for women with 5 years relaxation to SC/ST and 3 years relaxation for OBC.</p>

<p>How to Apply : Candidates who meet the requirements can attend the walk in interview at CIARI,Port Blair on 09.12.2015 10.30AM.</p>

<p>http://icar-ciari.res.in/employment/9-12-15.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25674/post-doc-position-at-labgem-evry-france</guid>
  <pubDate>Fri, 11 Dec 2015 06:24:00 -0600</pubDate>
  <link></link>
  <title><![CDATA[Post-doc position at LABGeM - Evry, France]]></title>
  <description><![CDATA[
<p>The LABGeM team (CEA/Genoscope, CNRS UMR 8030, France, Dir. Claudine Médigue) is developing integrated approaches which combines bioinformatics methods based (i) on genomic and metabolic contexts, (ii) on an orignal metabolic network representation and (iii) on a structural classification of active sites for the discovery of new metabolic enzymatic activities.</p>

<p>We are hiring a post-doctoral fellow for the development of innovative bioinformatics methods to explore metabolic networks and enzyme families. These methods will be based on protein family analysis and graph approaches combining genomic and metabolic contexts.</p>

<p>For more details, please see this link : http://goo.gl/tHQOqk</p>

<p>Qualifications:<br />PhD degree in bioinformatics or computational biology<br />- Previous experience in network or protein family analysis<br />- Programming skills (C/C++, Python, Java) and in common biostatistical analyses<br />- Team player, innovative and creative thinking, good oral and written communication skills</p>

<p>24 months, Post Doctoral position<br />Start: from March 2016<br />Place: CEA, Genoscope UMR8030, LABGeM (Laboratory of Bioinformatics Analyses for Genomics and Metabolism), Evry, France<br />Contact: David Vallenet, vallenet@genoscope.cns.fr<br />Publications: https://scholar.google.com/citations?user=rJNPLSAAAAAJ<br />Remuneration per month: from 2,850 €</p>

<p>Interested candidates should send their CV, statement of research interests, and contact information of at least 2 references to David Vallenet (vallenet@genoscope.cns.fr).</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39837/cactus-a-reference-free-whole-genome-multiple-alignment-program</guid>
	<pubDate>Mon, 12 Aug 2019 07:52:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39837/cactus-a-reference-free-whole-genome-multiple-alignment-program</link>
	<title><![CDATA[Cactus: a reference-free whole-genome multiple alignment program]]></title>
	<description><![CDATA[<p>Cactus is a reference-free whole-genome multiple alignment program. The principal algorithms are described here:&nbsp;<a href="https://doi.org/10.1101/gr.123356.111">https://doi.org/10.1101/gr.123356.111</a></p>
<p><span>Cactus uses substantial resources. For primate-sized genomes (3 gigabases each), you should expect Cactus to use approximately 120 CPU-days of compute per genome, with about 120 GB of RAM used at peak. The requirements scale roughly quadratically, so aligning two 1-megabase bacterial genomes takes only 1.5 CPU-hours and 14 GB RAM.</span>&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/ComparativeGenomicsToolkit/cactus" rel="nofollow">https://github.com/ComparativeGenomicsToolkit/cactus</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

</channel>
</rss>