<?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/22807?offset=1410</link>
	<atom:link href="https://bioinformaticsonline.com/related/22807?offset=1410" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33221/genome-annotation-transfer-utility-gatu</guid>
	<pubDate>Mon, 29 May 2017 05:54:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33221/genome-annotation-transfer-utility-gatu</link>
	<title><![CDATA[Genome Annotation Transfer Utility (GATU)]]></title>
	<description><![CDATA[<p>Genome Annotation Transfer Utility (GATU) was designed to facilitate quick, efficient annotation of similar genomes using genomes that have already been annotated. For example, whenever a new strain of SARS coronavirus is sequenced, it is possible, using GATU, to automatically annotate the new strain using a previously-annotated strain of SARS CoV. This saves researchers from tedious manual annotation of these sequences.</p>
<p>The program utilizes tBLASTn and BLASTn algorithms to map genes from the reference genome (the annotated strain) to the new sequence (the unannotated strain). The goal is to annotate the majority of the new genome&rsquo;s genes in a single step. ORFs present in the target genome and absent from the reference genome are also identified; these ORFs can be further analyzed using BLAST, VGO and BBB. Afterwards, they can either be accepted for/rejected from annotation. GATU can handle multiple-exon genes as well as mature peptides. Although it was designed for use with viral genomes, GATU can also be used to help annotate larger genomes (ie. bacterial genomes).</p>
<p>The output is saved in GenBank, XML, or EMBL file format.</p><p>Address of the bookmark: <a href="https://virology.uvic.ca/help/tool-help/help-books/genome-annotation-transfer-utility-gatu-documentation/" rel="nofollow">https://virology.uvic.ca/help/tool-help/help-books/genome-annotation-transfer-utility-gatu-documentation/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34475/oxford-nanopore-sequencing-hybrid-error-correction-and-de-novo-assembly-of-a-eukaryotic-genome</guid>
	<pubDate>Wed, 29 Nov 2017 05:08:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34475/oxford-nanopore-sequencing-hybrid-error-correction-and-de-novo-assembly-of-a-eukaryotic-genome</link>
	<title><![CDATA[Oxford Nanopore Sequencing, Hybrid Error Correction, and de novo Assembly of a Eukaryotic Genome]]></title>
	<description><![CDATA[<p><span>Monitoring the progress of DNA molecules through a membrane pore has been postulated as a method for sequencing DNA for several decades. Recently, a nanopore-based sequencing instrument, the Oxford Nanopore MinION, has become available that we used for sequencing the S. cerevisiae genome. To make use of these data, we developed a novel open-source hybrid error correction algorithm Nanocorr (</span><a href="https://github.com/jgurtowski/nanocorr">https://github.com/jgurtowski/nanocorr</a><span>) specifically for Oxford Nanopore reads, as existing packages were incapable of assembling the long read lengths (5-50kbp) at such high error rate (between ~5 and 40% error). With this new method we were able to perform a hybrid error correction of the nanopore reads using complementary MiSeq data and produce a de novo assembly that is highly contiguous and accurate: the contig N50 length is more than ten-times greater than an Illumina-only assembly (678kb versus 59.9kbp), and has greater than 99.88% consensus identity when compared to the reference. Furthermore, the assembly with the long nanopore reads presents a much more complete representation of the features of the genome and correctly assembles gene cassettes, rRNAs, transposable elements, and other genomic features that were almost entirely absent in the Illumina-only assembly.</span></p><p>Address of the bookmark: <a href="http://schatzlab.cshl.edu/data/nanocorr/" rel="nofollow">http://schatzlab.cshl.edu/data/nanocorr/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21538/senior-research-fellow-at-all-india-institute-of-medical-sciences-aiims-delhi-delhi-delhi</guid>
  <pubDate>Wed, 11 Mar 2015 03:06:10 -0500</pubDate>
  <link></link>
  <title><![CDATA[SENIOR RESEARCH FELLOW at All India Institute of Medical Sciences (AIIMS Delhi) - Delhi, Delhi]]></title>
  <description><![CDATA[
<p>Applications are invited from eligible candidates for the following temporary post in an ICMR funded Research Project entitle “An Investigation to find out reasons for Phenotypic Heterogeneity/Variability in 22q11.2 Microdeletion Syndrome” in Department of Reproductive Biology, AIIMS, New Delhi PI: Dr. Ashutosh Halder, Professor, Department of Reproductive Biology </p>

<p>Name of the post: Senior Research Fellow (SRF) <br />Duration: 2 year <br />Salary: Rs. 28000/- per month + 30% HRA <br />Eligibility: MSc (life sciences) with 2 years research experience, NET/GATE qualified <br />Desirable: Experience in the field of Genomics, Epigenomics &amp; Bioinformatics <br />SELECTION PROCEDURE FOR ALL INDIA INSTITUTE OF MEDICAL SCIENCES (AIIMS DELHI) – SENIOR RESEARCH FELLOW POST: </p>

<p>Candidates can apply on or before 15/03/2015 <br />No Detailed information about the selection process is mentioned in the recruitment notification <br />HOW TO APPLY FOR SENIOR RESEARCH FELLOW VACANCY IN ALL INDIA INSTITUTE OF MEDICAL SCIENCES (AIIMS DELHI): </p>

<p>Deadline: 15.03.15 Submit your C.V in Room No. 2099 (Molecular Cytogenetics Lab), 2nd floor, Reproductive Biology, All India Institute of Medical Sciences, New Delhi-110029 or Email CV to: ashutoshhalder@gmail.com Your CV should include the details of your work experience &amp; degrees along with two references with e-mail and contact number Only 10 shortlisted (on merit) candidates will be invited for interview. No TA/DA will be applicable for the same</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35762/genome-assembly-stats-plotting</guid>
	<pubDate>Wed, 28 Feb 2018 03:45:39 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35762/genome-assembly-stats-plotting</link>
	<title><![CDATA[Genome assembly stats plotting]]></title>
	<description><![CDATA[<p>A&nbsp;<em>de novo</em>&nbsp;genome assembly can be summarised b</p>
<p>y a number of metrics, including:</p>
<ul>
<li>Overall assembly length</li>
<li>Number of scaffolds/contigs</li>
<li>Length of longest scaffold/contig</li>
<li>Scaffold/contig N50 and N90Assembly base composition, in particular percentage GC and percentage Ns</li>
<li>CEGMA completeness</li>
<li>Scaffold/contig length/count distribution</li>
</ul>
<p>assembly-stats supports two widely used presentations of these values, tabular and cumulative length plots, and introduces an additional circular plot that summarises most commonly used assembly metrics in a single visualisation. Each of these presentations is generated using javascript from a common (JSON) data structure, allowing toggling between alternative views, and each can be applied to a single or multiple assemblies to allow direct comparison of alternate assemblies.</p>
<p>Tabular presentation allows direct comparison of exact values between assemblies, the limitations of this approach lie in the necessary omission of distributions and the challenge of interpreting ratios of values that may vary by several orders of magnitude.</p><p>Address of the bookmark: <a href="https://github.com/rjchallis/assembly-stats" rel="nofollow">https://github.com/rjchallis/assembly-stats</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36478/the-marvel-assembler</guid>
	<pubDate>Fri, 04 May 2018 19:18:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36478/the-marvel-assembler</link>
	<title><![CDATA[The MARVEL assembler]]></title>
	<description><![CDATA[<p><span>MARVEL consists of a set of tools that facilitate the overlapping, patching, correction and assembly of noisy (not so noisy ones as well) long reads.</span></p>
<p>The assembly process can be summarized as follows:</p>
<ol>
<li>overlap</li>
<li>patch reads</li>
<li>overlap (again)</li>
<li>scrubbing</li>
<li>assembly graph construction and touring</li>
<li>optional read correction</li>
<li>fasta file creation</li>
</ol><p>Address of the bookmark: <a href="https://github.com/schloi/MARVEL" rel="nofollow">https://github.com/schloi/MARVEL</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36997/cgview-circular-genome-viewer</guid>
	<pubDate>Wed, 20 Jun 2018 10:15:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36997/cgview-circular-genome-viewer</link>
	<title><![CDATA[CGView - Circular Genome Viewer]]></title>
	<description><![CDATA[CGView is a Java package for generating high quality, zoomable maps of circular genomes. Its primary purpose is to serve as a component of sequence annotation pipelines, as a means of generating visual output suitable for the web. Feature information and rendering options are supplied to the program using an XML file, a tab delimited file, or an NCBI ptt file. CGView converts the input into a graphical map (PNG, JPG, or Scalable Vector Graphics format), complete with labels, a title, legends, and footnotes. In addition to the default full view map, the program can generate a series of hyperlinked maps showing expanded views. The linked maps can be explored using any web browser, allowing rapid genome browsing, and facilitating data sharing. The feature labels in maps can be hyperlinked to external resources, allowing CGView maps to be integrated with existing web site content or databases. For examples of the various output types, see the CGView gallery.

http://wishart.biology.ualberta.ca/cgview/gallery.html

http://stothard.afns.ualberta.ca/downloads/CCT/index.html

https://www.gview.ca/wiki/GView/WebHome

https://server.gview.ca/

http://stothard.afns.ualberta.ca/cgview_server/

Paper https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbx081/4037458<p>Address of the bookmark: <a href="http://wishart.biology.ualberta.ca/cgview/" rel="nofollow">http://wishart.biology.ualberta.ca/cgview/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/37927/you-cant-hide-from-genome-hackers</guid>
	<pubDate>Sat, 13 Oct 2018 14:17:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/37927/you-cant-hide-from-genome-hackers</link>
	<title><![CDATA[You can't hide from Genome Hackers]]></title>
	<description><![CDATA[<p><span>Young computational biologist named Yaniv Erlich shocked the research world by showing it was possible to&nbsp;</span><a href="https://www.wired.com/2013/01/your-genome-could-reveal-your-identity/">unmask the identities</a><span>&nbsp;of people listed in anonymous genetic databases using&nbsp;</span><a href="http://science.sciencemag.org/content/339/6117/321" target="_blank">only an Internet connection</a></p><p>Paper: http://science.sciencemag.org/content/early/2018/10/10/science.aau4832</p><p>More at&nbsp;https://www.wired.com/story/genome-hackers-show-no-ones-dna-is-anonymous-anymore/</p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38215/pwhatshap-a-parallel-high-performance-version-of-whatshap</guid>
	<pubDate>Wed, 14 Nov 2018 08:20:27 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38215/pwhatshap-a-parallel-high-performance-version-of-whatshap</link>
	<title><![CDATA[pWhatsHap: a parallel, high-performance version of WhatsHap]]></title>
	<description><![CDATA[<div id="ASec4">
<p>Given the potential relevance of efficient haplotyping in several analysis pipelines, we have designed and engineered&nbsp;pWhatsHap, a parallel, high-performance version of&nbsp;WhatsHap.&nbsp;pWhatsHap&nbsp;is embedded in a toolkit developed in Python and supports genomics datasets in standard file formats. Building on&nbsp;WhatsHap,&nbsp;pWhatsHap&nbsp;exhibits the same complexity exploring a number of possible solutions which is exponential in the coverage of the dataset. The parallel implementation on multi-core architectures allows for a relevant reduction of the execution time for haplotyping, while the provided results enjoy the same high accuracy as that provided by&nbsp;WhatsHap, which increases with coverage.</p>
</div>
<p>https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1170-y</p><p>Address of the bookmark: <a href="https://bitbucket.org/whatshap/whatshap" rel="nofollow">https://bitbucket.org/whatshap/whatshap</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21472/asst-professor-at-central-university-of-jharkhand-cuj</guid>
  <pubDate>Sun, 01 Mar 2015 01:17:52 -0600</pubDate>
  <link></link>
  <title><![CDATA[Asst. Professor at Central University of Jharkhand (CUJ)]]></title>
  <description><![CDATA[
<p>Central University of Jharkhand (CUJ) has issued a recruitment notification for the recruitment of Assistant Professor through recruitment notification – Central University of Jharkhand (CUJ) Recruitment 2015 –  Advt. No.: CUJ/Advt./14-15/15 Date: 26th Feb. 2015. Candidates who have completed M.Sc, Ph.D can apply for the new recruitment notification from Central University of Jharkhand (CUJ)</p>

<p>Central University of Jharkhand has been granted funds by the Department of Biotechnology (DBT), Govt. of India to establish “DBT-Boost to CUJ Interdisciplinary Life Sciences Departments for Education and Research” Applications are invited for the Assistant Professor on purely temporary basis. The appointments shall be initially for a period of one year, renewable every year depending on the satisfactory performance, till the end of project.</p>

<p>Position: ASSISTANT PROFESSOR (Total 03)<br />Salary: 45,000/- (fixed) per month<br />Essential Qualifications: i. Good academic record with at least 55% marks (or an equivalent grade in a point scale wherever grading system is followed) at the master’s degree level with specialization in Biodiversity and Systematic/ Systems Biology/ Biophysics/ Bioinformatics from an Indian  University, or an equivalent degree from an accredited foreign university. ii. Besides fulfilling the above qualifications, the candidates must have cleared the National Eligibility Test (NET) conducted by the UGC, CSIR or similar test accredited by the UGC like SLET/SET. iii. Notwithstanding anything contained in i. and ii. candidates, who are or have been awarded Ph.D Degree in accordance with the University Grants Commission (Minimum Standards and Procedure for Award of Ph.D. Degree) Regulation, 2009, shall be exempted from therequirement of the minimum eligibility condition of NET/SLET/SET for recruitment and appointment of Assistant Professor. iv. NET/SLET/SET shall also not be required for such disciplines for which NET/SLET/SET in not conducted.<br />Desirable: Preference will be given to candidates having Ph.D in any of the above mentioned areas with NET</p>

<p>IMPORTANT DATES TO REMEMBER  :</p>

<p>Last Date to Apply for this job 24/3/2015</p>

<p>REFERENCE:</p>

<p>Central University of Jharkhand (CUJ) Recruitment 2015 –  Advt. No.: CUJ/Advt./14-15/15 Date: 26th Feb. 2015.</p>

<p>More at http://cuj.ac.in/careers.php</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38515/genome-annotation-using-maker-tutorial</guid>
	<pubDate>Thu, 20 Dec 2018 17:39:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38515/genome-annotation-using-maker-tutorial</link>
	<title><![CDATA[Genome Annotation using MAKER tutorial !]]></title>
	<description><![CDATA[<p><a href="http://www.yandell-lab.org/software/maker.html">MAKER</a><span>&nbsp;is a great tool for annotating a reference genome using empirical and&nbsp;</span><em>ab initio</em><span>gene predictions.&nbsp;</span><a href="http://gmod.org/wiki/Main_Page">GMOD</a><span>, the umbrella organization that includes MAKER, has some nice tutorials online for running MAKER. However, these were quite simplified examples and it took a bit of effort to wrap my head completely around everything. Here I will describe a&nbsp;</span><em>de novo</em><span>&nbsp;genome annotation for&nbsp;</span><em>Boa constrictor</em><span>&nbsp;in detail, so that there is a record and that it is easy to use this as a guide to annotate any genome.</span></p><p>Address of the bookmark: <a href="https://www.biostars.org/p/261203/" rel="nofollow">https://www.biostars.org/p/261203/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

</channel>
</rss>