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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/5462?offset=10</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43042/bioinformatics-in-thailand</guid>
	<pubDate>Wed, 28 Apr 2021 02:04:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43042/bioinformatics-in-thailand</link>
	<title><![CDATA[Bioinformatics in Thailand !]]></title>
	<description><![CDATA[<p>Our international PhD and master programs are designed for students who desire focused training in the elements of biology, computer science, and information technology needed for a successful career in the exciting new discipline of Bioinformatics &amp; Systems Biology. Students in our program will receive comprehensive training in omics analysis, database design and management, software engineering and programming (including web-based development), simulation techniques and modeling, and data integration. Each student will apply their skills to a practical project, where they will design and implement a solution to a real-world problem under the guidance of an experienced mentor in industry or academia.</p>
<p><strong>https://bioinformatics.kmutt.ac.th/about.html</strong></p>
<p>Duangrudee Tanramluk (Ajarn Wi) uses computational biology and machine learning to tackle the key to drug design problems via MANORAA webserver.</p>
<p><strong>https://mb.mahidol.ac.th/en/bioinformatics/</strong></p>
<p><strong>https://graduate.mahidol.ac.th/inter/</strong></p>
<p>This&nbsp;international&nbsp;Doctorate programme is designed to further broaden students&rsquo; knowledge in Bioinformatics and Molecular Biology to their maximum capability.&nbsp;</p>
<p><strong>http://www.mbb.psu.ac.th/programmes/phd</strong></p>
<p>Ph.D. program in Bioinformatics and Computational Biology is a joint effort of the Faculty of Science and Faculty of Medicine, Chulalongkorn University. The program has study plans for both applicants who hold a bachelor&rsquo;s degree and applicants who hold a master&rsquo;s degree in any related fields of study.</p>
<p><strong>http://www.bioinfo.sc.chula.ac.th/ph-d-program-specialization/</strong></p>
<p>Additional detail&nbsp;</p>
<p><strong>https://www.biotec.or.th/en/index.php/research/research-units/genome-technology-research-unit</strong></p>
<p><strong>https://tbrcnetwork.org/labtbrc/index.php/bioinformatics-and-chemoinformatics/</strong></p>
<p><strong>https://genomicsthailand.com/Genomic/home</strong></p><p>Address of the bookmark: <a href="https://bioinformatics.kmutt.ac.th/" rel="nofollow">https://bioinformatics.kmutt.ac.th/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/9868/raghavas-group</guid>
  <pubDate>Tue, 15 Apr 2014 23:59:48 -0500</pubDate>
  <link></link>
  <title><![CDATA[Raghava's Group]]></title>
  <description><![CDATA[
<p>Raghava's group is known for developing open source software or web servers. Group have developed large number of web-based services.</p>

<p>Find more at http://www.imtech.res.in/raghava/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43284/tech-and-bioinformatics-roles-at-basepaws</guid>
  <pubDate>Wed, 18 Aug 2021 23:34:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[Tech and Bioinformatics roles at Basepaws]]></title>
  <description><![CDATA[
<p>Basepaws is an LA-based pet genomics company, quickly growing and focused on feline and canine at-home genetic and biome tests, along with many other projects and products in the works. Thank you for taking a look!</p>

<p>Bioinformatics : https://www.linkedin.com/jobs/view/2681785372/</p>

<p>Engineer: https://www.linkedin.com/jobs/view/2681796993/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10127/assistant-professor-at-sardar-patel-university</guid>
  <pubDate>Mon, 21 Apr 2014 21:03:55 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor at SARDAR PATEL UNIVERSITY]]></title>
  <description><![CDATA[
<p>SARDAR PATEL UNIVERSITY<br />Centre for Interdisciplinary Studies in Science and Technology</p>

<p>No.: SPU/CISST/Advt./2014-15/519</p>

<p>ADVERTISEMENT for Teaching Positions (Contractual)</p>

<p>Applications for the following Contractual Teaching Position are invited for Centre for Interdisciplinary Studies in Science and Technology (CISST), Sardar Patel University:</p>

<p>2. Assistant Professor (ONE) (Contractual)</p>

<p>For the subject of Bioinformatics</p>

<p>Qualifications:</p>

<p>(I) Good academic record as defined by the concerned university with at least 55 % marks (or an equivalent grade in a point scale wherever grading system is followed) at the Master’s level</p>

<p>(II) Ph.D. degree in the concerned subject or in a relevant interdisciplinary subject<br />from an Indian University or NET/SLET clearance Contractual appointment carries a total Fixed Emoluments of Rs. 30,000/- p.m without any assurance of permanent Positions and related benefits.</p>

<p>An Application Form in prescribed Performa, available on University Website: www.spuvvn.edu should be filled in completely in Twelve Copies with self attested copies of certificates of qualifications and experience. Only one copy of each mark sheet be attached with the first copy of the application form. All 12 (Twelve) Application forms should be sent to Registrar’s office along with Demand Draft of Application form fee of Rs. 250/- (Non-refundable) in favour of “REGISTRAR, SARDAR PATEL UNIVERSITY, VALLABH VIDYANAGAR”. The S.C. and S.T. category candidates need not to pay Application fee.</p>

<p>Applicants who are in service should apply through their present employers. Candidates called for interview shall be required to attend at their own cost.</p>

<p>In absence of suitable candidate, the University may relax the eligibility criteria, for conditional appointment.</p>

<p>The last date of receipt of application by the University is 30th April, 2014</p>

<p>Advertisement: www.spuvvn.edu/careers/CISST%20Advt.%20April%202014.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44352/bioinformatics-tools-for-genome-assembly</guid>
	<pubDate>Mon, 24 Jul 2023 07:04:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44352/bioinformatics-tools-for-genome-assembly</link>
	<title><![CDATA[Bioinformatics tools for genome assembly !]]></title>
	<description><![CDATA[<p>There are numerous genome assembly tools available, each with its strengths and weaknesses. Here is a list of some widely used genome assembly tools as of my last update in September 2021:</p><ol>
<li>
<p><span>SPAdes:</span> An assembler specifically designed for single-cell and multi-cell bacterial genomes, as well as small eukaryotic genomes.</p>
</li>
<li>
<p><span>ABySS:</span> A parallelized assembler for large genomes that uses de Bruijn graphs.</p>
</li>
<li>
<p><span>Velvet:</span> Another de Bruijn graph-based assembler optimized for short-read sequencing data.</p>
</li>
<li>
<p><span>SOAPdenovo:</span> A de Bruijn graph-based assembler designed for short reads, widely used for assembling large and complex genomes.</p>
</li>
<li>
<p><span>MaSuRCA:</span> A hybrid assembler that combines data from multiple sequencing technologies, such as Illumina and PacBio.</p>
</li>
<li>
<p><span>Canu:</span> A long-read assembler optimized for PacBio and Oxford Nanopore sequencing data.</p>
</li>
<li>
<p><span>Flye:</span> A long-read assembler suitable for bacterial and small eukaryotic genomes.</p>
</li>
<li>
<p><span>SMARTdenovo:</span> An assembler designed for long reads, particularly suited for PacBio data.</p>
</li>
<li>
<p><span>SPAdes Long Read (SPAdesLR):</span> An extension of SPAdes for long-read data, such as those from PacBio or Nanopore.</p>
</li>
<li>
<p><span>Minia:</span> An assembler optimized for low memory consumption, suitable for small and medium-sized genomes.</p>
</li>
<li>
<p><span>Unicycler:</span> A hybrid assembler that combines short and long reads for circular bacterial genome assembly.</p>
</li>
<li>
<p><span>wtdbg2:</span> A de Bruijn graph assembler for long reads, efficient for very large genomes.</p>
</li>
<li>
<p><span>Shasta:</span> A long-read assembler that uses the Overlap-Layout-Consensus approach, suitable for PacBio and Nanopore data.</p>
</li>
<li>
<p><span>Sparc:</span> An assembler designed to handle noisy long reads from Nanopore sequencing.</p>
</li>
<li>
<p><span>CANA:</span> An assembler for metagenomic data, particularly for complex and diverse microbial communities.</p>
</li>
<li>
<p><span>Ra</span> Assembler: A metagenome assembler for long reads, designed for highly complex metagenomic samples.</p>
</li>
</ol><p>Please note that the field of bioinformatics is constantly evolving, and new assembly tools may have emerged since my last update. Additionally, the performance of these tools can vary depending on the characteristics of the sequencing data and the genome being assembled. When selecting an assembly tool, consider the specific requirements of your project, the available data types, and the computational resources at your disposal. Always refer to the respective tool's documentation and publications for the most up-to-date information and recommendations.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/10394/bioinformatics-protocols</guid>
	<pubDate>Mon, 05 May 2014 10:21:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/10394/bioinformatics-protocols</link>
	<title><![CDATA[Bioinformatics Protocols]]></title>
	<description><![CDATA[<h2><span> RNA Seq </span></h2>
<p><strong> Basic Galaxy Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/pub?id=1KbTiBHtvHLfPRZ39AY3uriazrINA8TJzgjjwn1zPP7Y">RNA-Seq tutorial</a> based on <a href="http://www.nature.com/protocolexchange/protocols/2327">Trapnell et al. (2012)</a> <em>Nature Protocols</em></li>
</ul>
<dl><dd>In this tutorial we cover the concepts of <a href="http://en.wikipedia.org/wiki/RNA-Seq">RNA-Seq</a> differential gene expression (DGE) analysis using a very small synthetic dataset from a well studied organism.</dd></dl>
<p><strong> Advanced Galaxy Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1fQ1XfeOKhezJUDTzMXtZVY20c3RGoHe-HLvFOGzqU4s/pub">RNA-Seq (Advanced) Tutorial</a></li>
</ul>
<dl><dd>In this tutorial we compare the performance of three statistically-based differential expression tools:</dd><dd>* CuffDiff</dd><dd>* EdgeR</dd><dd>* DESeq2</dd></dl>
<p><strong> Advanced Command Line Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1ayJXtgBP1OXtnV7o7lq4QHKMNk5SdPHFq4hGkqndBtI/pub">Graphical Output with CummeRbund</a> introduces some basic commands using the cummeRbund package of the R programming language</li>
</ul>
<dl><dd>You will need to install R, RStudio and cummeRbund on your PC (explained in the Tutorial). You will learn how to produce graphical output from RNA-Seq analysis previously done using a Cuffdiff analysis.</dd></dl>
<h2><span> Variant Detection </span></h2>
<p><strong> Basic Galaxy Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/pub?id=1ZRzrjjOCvtAu3m-IKL-rbJ1f4On60dDL_IEwG7oejdI">Variant Detection tutorial</a></li>
</ul>
<dl><dd>In this tutorial we cover the concepts of detecting small variants (SNVs and indels) in human genomic DNA using a small set of reads from chromosome 22.</dd></dl>
<p><strong>Advanced Galaxy Tutorial</strong></p>
<ul>
<li><a href="https://docs.google.com/document/pub?id=1CuKkKylVDb03tnN7RSWl5EUzleetn0ctjmvaidPKLxM">Variant Detection (Advanced) Tutorial</a></li>
</ul>
<dl><dd>In this tutorial we compare the performance of three statistically-based variant detection tools:</dd><dd>* SAMtools: Mpileup</dd><dd>* GATK: Unified Genotyper</dd><dd>* FreeBayes</dd><dd>Each of these tools takes as its input a BAM file of aligned reads and generates a list of likely variants in VCF format</dd></dl>
<p><strong>Pipelines</strong> are for those who are comfortable with using the UNIX command line; and often allow more control over branching and iteration logic.</p>
<ul>
<li><a href="https://github.com/claresloggett/variant_calling_pipeline">WGS/exome GATK-based variant calling pipeline</a></li>
</ul>
<dl><dd>This is a basic variant-calling and annotation pipeline developed at the Victorian Life Sciences Computation Initiative (VLSCI), University of Melbourne. It is based around BWA, GATK and ENSEMBL and was originally designed for human (or similar) data. The master branch is configured for WGS data; there is an exome branch configured for variant calling in exome data.</dd><dd>To run the pipeline you will need Rubra: <a href="https://github.com/bjpop/rubra">https://github.com/bjpop/rubra</a>. Rubra uses the python Ruffus library: <a href="http://www.ruffus.org.uk/">http://www.ruffus.org.uk/</a>.</dd></dl>
<p><strong>Protocols</strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1lfDYNzHjfDA1pHTHd-0w3xHhg7L4TipT1gRfzgiV8es/pub">Familial Variant Calling</a></li>
</ul>
<dl><dd>In this protocol we discuss and outline the process of calling familial related mutations.</dd></dl>
<ul>
<li><a href="https://docs.google.com/document/d/1PIhm8NrFGaSK0hxpDcp8wUOz11ZkOaHIrpnJshMgDec/pub">Somatic Variant Calling</a></li>
</ul>
<dl><dd>In this protocol we discuss and outline the process of identifying somatic variants or mutations.</dd></dl>
<h2><span> Assembly </span></h2>
<p><strong> Basic Galaxy Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/pub?id=1N3AB9ptISUu4zULqe1kXpVF0BDyGb5f5yzxWSJd_WNM">Genome assembly tutorial</a></li>
</ul>
<dl><dd>In this tutorial we carry out de novo assembly of a microbial genome. We have also written a <a href="https://docs.google.com/document/d/1xs-TI5MejQARqo0pcocGlymsXldwJbJII890gnmjI0o/pub">De novo Genome Assembly for Illumina Data</a> Protocol for a more generic description of the method.</dd></dl>
<p><strong> Protocol </strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1xs-TI5MejQARqo0pcocGlymsXldwJbJII890gnmjI0o/pub">De novo Genome Assembly for Illumina Data</a></li>
</ul>
<dl><dd>In this protocol we discuss and outline the process of de novo assembly for small to medium sized genomes. Use our <a href="https://docs.google.com/document/pub?id=1N3AB9ptISUu4zULqe1kXpVF0BDyGb5f5yzxWSJd_WNM">Genome assembly tutorial</a> to learn a specific case of using Galaxy to carry out de novo assembly of a microbial genome.</dd></dl>
<h2><span> Small RNAs </span></h2>
<p><strong> Basic Galaxy Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1WAObJr7M0m8U-2ku-0Y0Sdt_IHmqd1h8WaJHPhnJ1lM/pub">Quality control for small RNA</a></li>
</ul>
<dl><dd>This tutorial covers initial steps of the workflow for analysis of short RNA expression such as a quality control of the raw reads, processing of the raw reads for the subsequent analysis and initial quality assessment of the library.</dd></dl>
<h2><span> ChIP Seq </span></h2>
<p><strong> Protocol </strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1UPJC8dsiDeP5R9MH9U0IvoDgPF2Q3EOstAuzS3e6WCE/pub">ChIP-Seq</a></li>
</ul>
<dl><dd>In this protocol we discuss ChIP-Seq: a method to analyze the interaction between proteins and DNA.</dd></dl>
<h2><span> Amplicons </span></h2>
<p><strong>Protocol</strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1uW7JzxG86QzS92hTyeuNsLhX_d1XFbaZPSjh7jWxcSg/pub">Amplicon Alignment</a></li>
</ul>
<dl><dd>In this protocol we discuss and outline the process of aligning custom amplicons using primers for high precision.</dd></dl>
<h2><span> Learn Galaxy </span></h2>
<p><a href="https://docs.google.com/document/d/1wsdJDYfjZVg2uJxm9AHi_j0mY3X1M1F4gB-elkuYL7c/pub">Introduction to Galaxy,</a> for those who are very new to Galaxy.</p>
<p><a href="https://docs.google.com/document/d/1t7vVqa3mdeZYPv5-8hiHBFBYhNiynV_3mWByno9-wUM/pub">Using Histories and Workflows,</a> for those with some Galaxy knowledge.</p>
<p>The Galaxy project website has many <a href="http://wiki.galaxyproject.org/Learn">tutorials</a> and <a href="http://wiki.galaxyproject.org/Learn/Screencasts">screencasts</a> about using Galaxy and the tools, and developing new tools.</p><p>Address of the bookmark: <a href="https://genome.edu.au/wiki/Learn" rel="nofollow">https://genome.edu.au/wiki/Learn</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44581/biokit-a-set-of-tools-dedicated-to-bioinformatics-data-visualisation</guid>
	<pubDate>Tue, 18 Jun 2024 02:04:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44581/biokit-a-set-of-tools-dedicated-to-bioinformatics-data-visualisation</link>
	<title><![CDATA[BioKit: a set of tools dedicated to bioinformatics, data visualisation]]></title>
	<description><![CDATA[<p><span>BioKit is a set of tools dedicated to bioinformatics, data visualisation (</span><a href="https://biokit.readthedocs.io/en/latest/references.html#module-biokit.viz" title="biokit.viz"><code><span>biokit.viz</span></code></a><span>), access to online biological data (e.g. UniProt, NCBI thanks to bioservices). It also contains more advanced tools related to data analysis (e.g.,&nbsp;</span><a href="https://biokit.readthedocs.io/en/latest/references.html#module-biokit.stats" title="biokit.stats"><code><span>biokit.stats</span></code></a><span>). Since R is quite common in bioinformatics, we also provide a convenient module to run R inside your Python scripts or shell (:mod:biokit.rtools module).</span></p><p>Address of the bookmark: <a href="https://biokit.readthedocs.io/en/latest/index.html" rel="nofollow">https://biokit.readthedocs.io/en/latest/index.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10457/assistant-professor-bio-informatics-at-health-and-family-welfare-department-medical-education-in-raipur</guid>
  <pubDate>Wed, 07 May 2014 00:08:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor (Bio-Informatics) at Health and Family Welfare Department (Medical Education) in Raipur]]></title>
  <description><![CDATA[
<p>Advertisement No.05/2014/ Exam/Dated 17/04/2014</p>

<p>No of vacancies: 01</p>

<p>Pay scale:Rs. 15600 – 39100 + 6600/-</p>

<p>Essential Academic Qualifications / Experience : Good academic record as defined by the concerned university with at least 55% marks (or an equivalent grade in a point scale wherever grading system is followed) at the Master's Degree level in a relevant subject from an Indian University, or an equivalent degree from an accredited foreign university.</p>

<p>Besides fulfilling the above qualifications, the candidate must have cleared the National Eligibility Test (NET) conducted by the UGC, CSIR or similar test accredited by the UGC like SLET/ SET.</p>

<p>Notwithstanding anything contained in sub-clauses (a) and (b) to this Clause, candidates, who are, or have been awarded a Ph.D. Degree in accordance with the University Grants Commission (Minimum Standards and Procedure for Award of Ph.D. Degree) Regulations, 2009, shall be exempted from the requirement of the minimum eligibility condition of NET/SLET/SET for recruitment and appointment of Assistant Professor or equivalent positions in Universities/Colleges/Institutions.</p>

<p>NET/SLET/SET shall also not be required for such Masters Programmes in disciplines for which NET/SLET/SET is not conducted.</p>

<p>Apply online: http://www.psc.cg.gov.in/htm/OA_ME2014.html</p>

<p>Last Date for Online Registration: 22/05/2014</p>

<p>For more details: http://www.psc.cg.gov.in/pdf/Advertisement/ADV_ME2014.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/10659/gps-dna-tracking-university-of-sheffield</guid>
	<pubDate>Sat, 10 May 2014 04:33:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/10659/gps-dna-tracking-university-of-sheffield</link>
	<title><![CDATA[GPS DNA tracking - University of Sheffield]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/Aap-s1kle4Q" frameborder="0" allowfullscreen></iframe>University of Sheffield geneticist and bioinformatics expert Dr Eran Elhaik demonstrates the power of his new DNA research, which allows people to discover their genetic homeland from 1000 years ago. Find out more about our biological research here http://www.sheffield.ac.uk/aps]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10748/bioinformatics-phd-at-cuk-kerala</guid>
  <pubDate>Sat, 10 May 2014 20:21:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics PhD at CUK Kerala]]></title>
  <description><![CDATA[
<p>Applications are invited from highly motivated students (UGC-CSIR-JRF) with a background in Genomics/ Biotechnology/ Molecular Microbiology/ Biochemistry and Bioinformatics to pursue research leading to Ph.D. in the following areas;</p>

<p>    1. Cancer Genomics</p>

<p>    2. Microbial Genetics and Metagenomics</p>

<p>    3. Human Infective Diseases</p>

<p>    4. Computational Drug Design</p>

<p>Interested candidates may apply to Dr. Ranjith N. Kumavath, Assistant Professor &amp; Head, Department of Genomic Science, School of Biological Sciences, Central University of Kerala, Padannakad (PO), Nileshwar, Kasaragod-671328,Kerala. Email: RNkumavath@gmail.com</p>
]]></description>
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