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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30242?offset=1410</link>
	<atom:link href="https://bioinformaticsonline.com/related/30242?offset=1410" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30198/faculty-at-indian-institute-of-science-education-and-research-berhampur</guid>
  <pubDate>Mon, 19 Dec 2016 03:34:26 -0600</pubDate>
  <link></link>
  <title><![CDATA[Faculty at Indian Institute of Science Education and Research Berhampur]]></title>
  <description><![CDATA[
<p>Advt. No: IISERBPR/DoFA/2016/2</p>

<p>Advertisement for Faculty Positions</p>

<p>The IISER Berhampur, an Institute of national importance, established through an act of Parliament is an autonomous organization under the Ministry of HRD, Govt. of India, to promote quality education and cutting edge research in basic sciences and to provide a platform for the faculty to engage in high quality education, at undergraduate and postgraduate levels. The Institute invites applications for faculty positions at the level of Assistant Professor (C) /Assistant Professor in the following disciplines:</p>

<p>1. Biological Sciences</p>

<p>2. Chemistry</p>

<p>3. Computer Sciences</p>

<p>4. Mathematics</p>

<p>5. Physics</p>

<p>Only hard copy of application in the prescribed format, via Speed Post should be sent to the Dean, Faculty Affairs, IISER Berhampur, Industrial Training Institute (ITI) Berhampur, Engineering School Road, Berhampur - 760 010, Ganjam District, Odisha, before 1700 hrs., December 30, 2016.</p>

<p>http://www.iiserbpr.ac.in</p>

<p>More Info : http://www.iiserbpr.ac.in/vacancies/Advertisement%20for%20Faculty%20Positions%20at%20IISER%20Berhampur.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30334/postdoc-at-ubritishcolumbia-in-troutgenomics</guid>
  <pubDate>Thu, 22 Dec 2016 08:18:46 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc at UBritishColumbia in TroutGenomics]]></title>
  <description><![CDATA[
<p>Landscape Genomics Postdoc at UBC A research team at the University of British Columbia’s Department of Zoology and Biodiversity Research Centre is seeking a postdoctoral researcher in landscape genetics of native rainbow trout (Oncorhynchus mykiss). </p>

<p>This project is part of a larger Genome Canada project on genetics and physiology of adaptation to climate change in rainbow trout, and the population genomics component is in the labs of Eric Taylor and Michael Whitlock. The landscape genomics component primarily involves whole genome sequencing approaches to understanding the genomic basis of adaptation to features of habitat, but also to provide insights into phylogeography and the influence of watershed structure on population subdivision in rainbow trout. A PhD in a related field with expertise in basic theory and bioinformatic analysis of population genomics data is required. </p>

<p>The position is available for one year with renewal for up to three additional years. Salary is $55,000 per year plus benefits. To apply, please send a brief cover letter summarizing your qualifications for the position, a CV, and the names, addresses, phone numbers and emails of three references. </p>

<p>Review of applications will begin January 16, 2017. Address application materials to etaylor@zoology.ubc.ca to whom any questions can also be addressed. etaylor@zoology.ubc.ca</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30375/mauve-a-system-for-constructing-multiple-genome-alignments-in-the-presence-of-large-scale-evolutionary-events-such-as-rearrangement-and-inversion</guid>
	<pubDate>Sat, 24 Dec 2016 09:20:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30375/mauve-a-system-for-constructing-multiple-genome-alignments-in-the-presence-of-large-scale-evolutionary-events-such-as-rearrangement-and-inversion</link>
	<title><![CDATA[Mauve: a system for constructing multiple genome alignments in the presence of large-scale evolutionary events such as rearrangement and inversion]]></title>
	<description><![CDATA[<p>Mauve is a system for constructing multiple genome alignments in the presence of large-scale evolutionary events such as rearrangement and inversion. Multiple genome alignments provide a basis for research into comparative genomics and the study of genome-wide evolutionary dynamics.</p>
<p>Mauve has been developed with the idea that a multiple genome aligner should require only modest computational resources. It employs algorithmic techniques that scale well in the lengths of sequences being aligned. For example, a pair of&nbsp;<em>Y. pestis</em>&nbsp;genomes can be aligned in under a minute, while a group of 9 divergent Enterobacterial genomes can be aligned in a few hours. However, the current algorithm&rsquo;s compute time (progressiveMauve) scales cubically in the number of genomes to align, making it unsuitable for datasets containing more than 50-100 bacterial genomes.</p><p>Address of the bookmark: <a href="http://darlinglab.org/mauve/mauve.html" rel="nofollow">http://darlinglab.org/mauve/mauve.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30657/studentship</guid>
  <pubDate>Tue, 24 Jan 2017 04:26:14 -0600</pubDate>
  <link></link>
  <title><![CDATA[Studentship]]></title>
  <description><![CDATA[
<p>Advt. No. ACBR/BTBI/BIF/Manpower/ADV/16-17<br />Research Associate/ Studentship/ Traineeship Jobs opportunity in  University of Delhi - Dr. B.R. Ambedkar Center for Biomedical Research (ACBR) on temporary basis<br />Studentship<br />No. of Post : 01<br />Qualifications : Applicants who are pursuing Post Graduate Degree course/ Diploma in Bioinformatics/ Biomedical Sciences/ Biotechnology/Life Sciences/Chemistry/ Biochemistry with a programme in Bioinformatics to carry out the project.<br />Remuneration : Rs. 8,000/-<br />Traineeship<br />No. of Post : 01<br />Qualifications : Applicants who have completed their Post Graduate degree in Bioinformatics /Biomedical Sciences/Biotechnology/Life Sciences/Chemistry/Biochemistry or any other branch of Life Sciences with knowledge in Bioinformatics<br />Remuneration : Rs. 8,000/-<br />Research Associate<br />No. of Post : 01<br />Qualifications : Ph.D. in Bio-Medical Sciences/Bioinformatics/ Biotechnology/Life Sciences/ Chemistry/ Bio-Chemistry and related areas<br />Remuneration : Rs. 36,000/-</p>

<p>Applicant are required to bring applications on plain paper, stating the name, address, date of birth. educational qualifications and experiences and Institute, along with attested photocopies of mark sheets and certificates etc. at the time of Interview. Applications should also be sent by Entail to Dr. Madhu Chopra, Coordinator, BIF Facility. Email: acbrdu.blisnet@nic.in;  mchopradu@gmail.com.<br />Interview Date : 13.02.2017<br />Time : 10:00 am-12:00 noon<br />Venue : ACBR</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30696/many-core-engine-mce-for-perl-example</guid>
	<pubDate>Tue, 31 Jan 2017 05:37:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30696/many-core-engine-mce-for-perl-example</link>
	<title><![CDATA[Many-Core Engine (MCE) for Perl example]]></title>
	<description><![CDATA[<p><span>MCE spawns a pool of workers and therefore does not fork a new process per each element of data. Instead, MCE follows a bank queuing model. Imagine the line being the data and bank-tellers the parallel workers. MCE enhances that model by adding the ability to chunk the next n elements from the input stream to the next available worker.</span></p>
<p>CORE MODULES</p>
<p>Three modules make up the core engine for MCE.</p>
<dl><dt id="MCE::Core"><a href="https://metacpan.org/pod/MCE#MCE::Core"><span></span></a><a></a><a href="https://metacpan.org/pod/distribution/MCE/lib/MCE/Core.pod">MCE::Core</a></dt><dd>
<p>Provides the Core API for Many-Core Engine. The various MCE options are described here.</p>
</dd><dt id="MCE::Signal"><a href="https://metacpan.org/pod/MCE#MCE::Signal"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Signal">MCE::Signal</a></dt><dd>
<p>Temporary directory creation, cleanup, and signal handling.</p>
</dd><dt id="MCE::Util"><a href="https://metacpan.org/pod/MCE#MCE::Util"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Util">MCE::Util</a></dt><dd>
<p>Utility functions for Many-Core Engine.</p>
</dd></dl>
<p><a href="https://metacpan.org/pod/MCE#MCE-EXTRAS"><span></span></a><a></a>MCE EXTRAS</p>
<p>There are 4 add-on modules for use with MCE.</p>
<dl><dt id="MCE::Candy"><a href="https://metacpan.org/pod/MCE#MCE::Candy"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Candy">MCE::Candy</a></dt><dd>
<p>Provides a collection of sugar methods and output iterators for preserving output order.</p>
</dd><dt id="MCE::Mutex"><a href="https://metacpan.org/pod/MCE#MCE::Mutex"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Mutex">MCE::Mutex</a></dt><dd>
<p>Provides a simple semaphore implementation supporting threads and processes.</p>
</dd><dt id="MCE::Queue"><a href="https://metacpan.org/pod/MCE#MCE::Queue"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Queue">MCE::Queue</a></dt><dd>
<p>Provides a hybrid queuing implementation for MCE supporting normal queues and priority queues from a single module. MCE::Queue exchanges data via the core engine to enable queuing to work for both children (spawned from fork) and threads.</p>
</dd><dt id="MCE::Relay"><a href="https://metacpan.org/pod/MCE#MCE::Relay"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Relay">MCE::Relay</a></dt><dd>
<p>Enables workers to receive and pass on information orderly with zero involvement by the manager process while running.</p>
</dd></dl>
<p><a href="https://metacpan.org/pod/MCE#MCE-MODELS"><span></span></a><a></a>MCE MODELS</p>
<p>The models take Many-Core Engine to a new level for ease of use. Two options (chunk_size and max_workers) are configured automatically as well as spawning and shutdown.</p>
<dl><dt id="MCE::Loop"><a href="https://metacpan.org/pod/MCE#MCE::Loop"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Loop">MCE::Loop</a></dt><dd>
<p>Provides a parallel loop utilizing MCE for building creative loops.</p>
</dd><dt id="MCE::Flow"><a href="https://metacpan.org/pod/MCE#MCE::Flow"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Flow">MCE::Flow</a></dt><dd>
<p>A parallel flow model for building creative applications. This makes use of user_tasks in MCE. The author has full control when utilizing this model. MCE::Flow is similar to MCE::Loop, but allows for multiple code blocks to run in parallel with a slight change to syntax.</p>
</dd><dt id="MCE::Grep"><a href="https://metacpan.org/pod/MCE#MCE::Grep"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Grep">MCE::Grep</a></dt><dd>
<p>Provides a parallel grep implementation similar to the native grep function.</p>
</dd><dt id="MCE::Map"><a href="https://metacpan.org/pod/MCE#MCE::Map"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Map">MCE::Map</a></dt><dd>
<p>Provides a parallel map model similar to the native map function.</p>
</dd><dt id="MCE::Step"><a href="https://metacpan.org/pod/MCE#MCE::Step"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Step">MCE::Step</a></dt><dd>
<p>Provides a parallel step implementation utilizing MCE::Queue between user tasks. MCE::Step is a spin off from MCE::Flow with a touch of MCE::Stream. This model, introduced in 1.506, allows one to pass data from one sub-task into the next transparently.</p>
</dd><dt id="MCE::Stream"><a href="https://metacpan.org/pod/MCE#MCE::Stream"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Stream">MCE::Stream</a></dt><dd>
<p>Provides an efficient parallel implementation for chaining multiple maps and greps together through user_tasks and MCE::Queue. Like with MCE::Flow, MCE::Stream can run multiple code blocks in parallel with a slight change to syntax from MCE::Map and MCE::Grep.</p>
</dd></dl>
<p><a href="https://metacpan.org/pod/MCE#MISCELLANEOUS"><span></span></a>MISCELLANEOUS</p>
<p>Miscellaneous additions included with the distribution.</p>
<dl><dt id="MCE::Examples"><a href="https://metacpan.org/pod/MCE#MCE::Examples"><span></span></a><a></a><a href="https://metacpan.org/pod/distribution/MCE/lib/MCE/Examples.pod">MCE::Examples</a></dt><dd>
<p>Describes various demonstrations for MCE including a Monte Carlo simulation.</p>
</dd><dt id="MCE::Subs"><a href="https://metacpan.org/pod/MCE#MCE::Subs"><span></span></a><a></a><a href="https://metacpan.org/pod/MCE::Subs">MCE::Subs</a></dt><dd>
<p>Exports functions mapped directly to MCE methods; e.g. mce_wid. The module allows 3 options; :manager, :worker, and :getter.</p>
</dd></dl>
<p><a href="https://metacpan.org/pod/MCE#REQUIREMENTS"><span></span></a>REQUIREMENTS</p>
<p>Perl 5.8.0 or later. PDL::IO::Storable is required in scripts running PDL.</p>
<p><a href="https://metacpan.org/pod/MCE#SOURCE-AND-FURTHER-READING"><span></span></a><a></a>SOURCE AND FURTHER READING</p>
<p>The source, cookbook, and examples are hosted at GitHub.</p>
<ul>
<li>
<p><a href="https://github.com/marioroy/mce-perl">https://github.com/marioroy/mce-perl</a></p>
</li>
<li>
<p><a href="https://github.com/marioroy/mce-cookbook">https://github.com/marioroy/mce-cookbook</a></p>
</li>
<li>
<p><a href="https://github.com/marioroy/mce-examples">https://github.com/marioroy/mce-examples</a></p>
</li>
</ul>
<p><a href="https://metacpan.org/pod/MCE#SEE-ALSO"><span></span></a><a></a>SEE ALSO</p>
<p><code>MCE::Shared</code>&nbsp;provides data sharing capabilities for&nbsp;<code>MCE</code>. It includes&nbsp;<code>MCE::Hobo</code>&nbsp;for running code asynchronously.</p>
<ul>
<li>
<p><a href="https://metacpan.org/pod/MCE::Shared">MCE::Shared</a></p>
</li>
<li>
<p><a href="https://metacpan.org/pod/MCE::Hobo">MCE::Hobo</a></p>
</li>
</ul><p>Address of the bookmark: <a href="https://github.com/marioroy/mce-examples" rel="nofollow">https://github.com/marioroy/mce-examples</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30825/open-positions-in-pasini%E2%80%99s-lab</guid>
  <pubDate>Sat, 04 Feb 2017 08:17:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[Open Positions in Pasini’s lab]]></title>
  <description><![CDATA[
<p>Computational Biologists<br />Open to PhD-student and Post-doc candidates<br />We are looking for wet and computational biologists to work on an ERC funded project in our<br />laboratory located at the Department of Experimental Oncology of the European Institute of<br />Oncology in Milan (Italy). The project will focus on different aspects of the function of Polycomb<br />Group proteins and other chromatin modifying activities in relation to their role in regulating cellular<br />identity in the development of adult tissues.<br />The candidates will be in charge of computational analysis and data management related to the<br />project. She/he will directly interact with the wet scientists working in our laboratory while working<br />embedded in the community of computational biologists present at our institution. The work will<br />involve the analysis of sequencing data produced with cutting edge technologies to study gene<br />expression and chromatin environment including data produced on rare cell populations and single<br />cells. The applicants must have a good knowledge of programming in python/perl/java along with<br />strong statistical background and performing analysis in R platform. A biological background is<br />also recommended however it’s not mandatory for application.<br />Each applicant should submit a full CV (with a detailed description of her/his background,<br />expertise, achievements and publication records) together with a letter of intent and at least two<br />contacts for recommendations (for a post-doc position). Competitive salary will be offered based<br />on the experience of the candidate. Non Italian as well as Italian applicants that have been working<br />outside Italy (&gt;3yrs.) will have the opportunity to benefit of a full tax deduction for the first three<br />years of contract.<br />Applications should be submitted as single PDF to diego.pasini@ieo.it</p>

<p>Lab https://www.ieo.it/en/RESEARCH/People/Researchers/Pasini-Diego/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30889/phd-program-in-computer-science-at-university-of-essex</guid>
  <pubDate>Sat, 11 Feb 2017 13:11:36 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD program in Computer Science at University of Essex]]></title>
  <description><![CDATA[
<p>As part of the PhD program in Computer Science at University of Essex, I am looking for a PhD student in computational and synthetic biology.<br />The ideal candidate is interested in designing new biological design automation methods for genome scale projects and/or network modelling of genomic, transcriptomic and proteomic data.<br />Candidates interested in developing optimization algorithms for biological problems are encouraged to apply as well.<br />A summary of the research work in the lab can be found on o this page.</p>

<p>Candidates interested in the position should contact me in advance by email to: g.stracquadanio@essex.ac.uk</p>

<p>The deadline for the application is 28/02/2017; info about the application can be found on the Essex CSEE website.</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31976/snpgenie</guid>
	<pubDate>Thu, 30 Mar 2017 17:38:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31976/snpgenie</link>
	<title><![CDATA[SNPGenie]]></title>
	<description><![CDATA[<p>SNPGenie is a Perl script for estimating evolutionary parameters, mainly from pooled next-generation sequencing (NGS) single-nucleotide polymorphism (SNP) variant data. SNP reports (acceptable in a variety of formats) much each correspond to a single population, with variants called relative to a single reference sequence (one sequence in one FASTA file). Just run the main script, <strong>snpgenie.pl</strong>, in a directory containing the necessary <a href="https://github.com/hugheslab/snpgenie#snpgenie-input">input files</a>, and we take care of the rest! For the earlier version, see <a href="http://ww2.biol.sc.edu/~austin/">Hughes Lab Bioinformatics Resource</a>.</p><p>Address of the bookmark: <a href="https://github.com/hugheslab/snpgenie" rel="nofollow">https://github.com/hugheslab/snpgenie</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32129/lordec-a-hybrid-error-correction-program-for-long-pacbio-reads</guid>
	<pubDate>Mon, 10 Apr 2017 04:16:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32129/lordec-a-hybrid-error-correction-program-for-long-pacbio-reads</link>
	<title><![CDATA[LoRDEC: a hybrid error correction program for long, PacBio reads]]></title>
	<description><![CDATA[<p>LoRDEC is a program to correct sequencing errors in long reads from 3rd generation sequencing with high error rate, and is especially intended for PacBio reads. It uses a hybrid strategy, meaning that it uses two sets of reads: the reference read set, whose error rate is assumed to be small, and the PacBio read set, which is then corrected using the reference set. Typically, the reference set contains Illumina reads.</p>
<p><br> Usually, errors in PacBio reads include many insertions and deletions, and comparatively less substitutions. LoRDEC can correct errors of all these types.<br> After correction, a larger portion of the sequence of PacBio reads is usable for detection of region of similarity with other sequences, for aligning them to the contigs of an assembly, etc.</p>
<p>Why is LoRDEC different?</p>
<ul>
<li>It is efficient and can process large read data sets, included from eukaryotic or vertebrate species, on a usual computing server, and even works on desktop/laptop computers.</li>
<li>It adopts a novel graph based approach: it builds a succinct De Bruijn Graph (DBG) representing the short reads, and seeks a corrective sequence for each erroneous region of a long read by traversing chosen paths in the graph.</li>
</ul><p>Address of the bookmark: <a href="http://www.atgc-montpellier.fr/lordec/" rel="nofollow">http://www.atgc-montpellier.fr/lordec/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/32358/list-of-goi-approved-peer-reviewed-bioinformatics-and-computational-biology-journals</guid>
	<pubDate>Tue, 25 Apr 2017 05:03:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/32358/list-of-goi-approved-peer-reviewed-bioinformatics-and-computational-biology-journals</link>
	<title><![CDATA[List of GOI approved peer reviewed bioinformatics and computational biology journals]]></title>
	<description><![CDATA[<p>Unfortunately, we now live in a world where the integrity of peer-reviewed journals is being threatened by the rise of the academic version of fake news &ndash; something many call &ldquo;predatory publishing". &nbsp;Mostly in academic publishing world, "predatory open access publishing" is an exploitative open-access publishing business model that involves charging publication fees to authors without providing the editorial and publishing services associated with legitimate journals (open access or not).</p><p>Nearly 20% of the such journals have a flashy impact factor and quick publication time, which are quick give-aways. Interestingly, under contact address, some journal websites do not even provide any address to contact. All of this has led to the emergence of a new and dark market of deceptive publishers that exploit the concept of open access and provide channels for &ldquo;scientific journal&rdquo; publication with little or no peer review. For a fee, they will publish almost anything &ndash; even if the study was fatally flawed. And these journals provide a forum that can be used as a channel to publish fraudulent &ldquo;advocacy research.&rdquo; You can find list of certain such publishers at "Beall's List" http://beallslist.weebly.com/</p><p>Keeping all these in mind, Government of India (GOI) decided to approved certain bioinformatics and computational biology journals for your research publication.<br /> <br />Following are the list of GOI validated and peer reviewed bioinformatics and computational biology journals:</p><p><strong>NOTE:Each journal details are in following order Tittle\nSource\nSubject. </strong><br /><strong>Point to remember: The list of journals are NOT sorted in any ascending or descending order.</strong></p><p><em>If I missed any other GOI validated bioinformatics journal, then please report me in comment section.</em></p><p><strong>Open Bioinformatics Journal</strong> <br />Scopus <br />Computer Science; Engineering; Medicine</p><p><strong>PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS</strong> <br />WoS <br />BIOLOGY &amp; BIOCHEMISTRY</p><p><strong>Advances and Applications in Bioinformatics and Chemistry</strong><br />Scopus<br />Biochemistry, Genetics and Molecular Biology Chemistry; Computer Science</p><p><strong>Advances in Bioinformatics</strong><br />Scopus<br />Biochemistry, Genetics and Molecular Biology; Computer Science; Engineering</p><p><strong>Applied Bioinformatics</strong><br />Scopus<br />Agricultural and Biological Sciences; Computer Science</p><p><strong>BIOINFORMATICS</strong> <br />WoS &amp; Scopus <br />COMPUTER SCIENCE</p><p><strong>Bioinformatics and Biology Insights</strong> <br />Scopus<br />Biochemistry, Genetics and Molecular Biology; Computer Science; Mathematics</p><p><strong>BMC BIOINFORMATICS</strong> <br />WoS &amp; Scopus <br />COMPUTER SCIENCE</p><p><strong>BRIEFINGS IN BIOINFORMATICS</strong> <br />WoS &amp; Scopus <br />COMPUTER SCIENCE</p><p><strong>Computational systems bioinformatics / Life Sciences Society. Computational Systems Bioinformatics Conference</strong> <br />Scopus <br />Medicine</p><p><strong>Current Bioinformatics</strong> <br />WoS &amp; Scopus <br />COMPUTER SCIENCE</p><p><strong>Current Protocols in Bioinformatics</strong> <br />Scopus <br />Biochemistry, Genetics and Molecular Biology</p><p><strong>JOURNAL OF COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS</strong> <br />ICI <br />BIOLOGICAL SCIENCE</p><p><strong>Journal of integrative bioinformatics</strong> <br />Scopus <br />Medicine</p><p><strong>Journal of Proteomics and Bioinformatics</strong> <br />Scopus<br />Biochemistry, Genetics and Molecular Biology; Computer Science</p><p><strong>Mathematical Biology and Bioinformatics</strong> <br />Scopus <br />Engineering; Mathematics</p><p><strong>Trends in Bioinfprmatics</strong><br />Scopus <br />Computer Science</p><p><strong>Eurasip Journal on Bioinformatics and Systems Biology</strong> <br />Scopus<br />General; Computer Science; Mathematics; Medicine</p><p><strong>Evolutionary Bioinformatics</strong> <br />WoS &amp; Scopus <br />COMPUTER SCIENCE</p><p><strong>Genomics, Proteomics and Bioinformatics</strong> <br />Scopus<br />Biochemistry, Genetics and Molecular Biology;Mathematics</p><p><strong>IEEE/ACM Transactions on Computational Biology and Bioinformatics</strong> <br />Scopus<br />Biochemistry, Genetics and Molecular Biology;Mathematics</p><p><strong>IEEE-ACM Transactions on Computational Biology and Bioinformatics</strong> <br />WoS <br />COMPUTER SCIENCE</p><p><strong>International Journal of Bioinformatics Research and Application</strong><br />Scopus<br />Biochemistry, Genetics and Molecular Biology; Medicine, Health</p><p><strong>International Journal o f Data M ining and Bioinformatics</strong> <br />WoS &amp; Scopus <br />COMPUTER SCIENCE</p><p><strong>IPSJ Transactions on Bioinformatics</strong> <br />Scopus <br />Biochemistry, Genetics and Molecular Biology;Computer Science</p><p><strong>Journal of Bioinformatics and Computational Biology</strong> <br />WoS &amp; Scopus<br />COMPUTER SCIENCE</p><p><strong>Journal of Clinical Bioinformatics</strong> <br />Scopus <br />Medicine</p><p><strong>PLoS Computational Biology</strong> <br />WoS &amp; Scopus <br />BIOLOGY &amp; BIOCHEMISTRY</p><p><strong>Reviews in Computational Chemistry</strong> <br />WoS &amp; Scopus <br />CHEMISTRY</p><p><strong>RSC Theoretical and Computational Chemistry Series</strong><br />Scopus <br />Chemistry; Computer Science</p><p><strong>Annual Reports in Computational Chemistry</strong> <br />Scopus <br />Chemistry; Mathematics</p><p><strong>Computational and Structural Biotechnology Journal</strong> <br />Scopus<br />Biochemistry, Genetics and Molecular Biology; Computer Science</p><p><strong>Computational and Theoretical Chemistry</strong> <br />WoS &amp; Scopus <br />CHEMISTRY</p><p><strong>COMPUTATIONAL BIOLOGY AND CHEMISTRY</strong> <br />WoS &amp; Scopus<br />COMPUTER SCIENCE</p><p><strong>COMPUTATIONAL CHEMISTRY</strong> <br />WoS <br />CHEMISTRY</p><p><strong>Journal of Theoretical and Computational Chemistry</strong> <br />Scopus<br />Chemistry; Computer Science</p><p><strong>Theoretical and Computational Chemistry</strong> <br />Scopus <br />Chemistry</p><p><strong>Wiley Interdisciplinary Reviews: Computational Molecular Science</strong> <br />Scopus<br />Biochemistry, Genetics and Molecular Biology;Chemistry; Computer Science; Materials Science; Mathematics</p><p><strong>Wiley Interdisciplinary Reviews- Computational Molecular Science</strong> <br />WoS <br />CHEMISTRY</p><p><strong>Interdisciplinary sciences, computational life sciences</strong><br />Scopus<br />Medicine</p><p><strong>Interdisciplinary Sciences-Computational Life Science</strong><br />WoS<br />Biology and Biochemistry</p><p><strong>International Journal of Computational Biology and Drug Design</strong><br />Scopus<br />Computer Science; Pharmacology, Toxicology and Pharmaceutics</p>]]></description>
	<dc:creator>Jit</dc:creator>
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