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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30375?offset=490</link>
	<atom:link href="https://bioinformaticsonline.com/related/30375?offset=490" rel="self" type="application/rss+xml" />
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6715/research-associate-school-of-computational-and-integrative-sciences-under-jawaharlal-nehru-university</guid>
  <pubDate>Fri, 22 Nov 2013 19:06:44 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associate@ School of Computational and Integrative Sciences under Jawaharlal Nehru University]]></title>
  <description><![CDATA[
<p>School of Computational and Integrative Sciences under Jawaharlal Nehru University, New Delhi invited applications for filling up 4 posts of Research Associates (RA) and Junior Research Fellow (JRF) (2 posts each)  purely on temporary basis, liable to be terminated at any time without prior notice or ceased/withdrawn by the funding agency. The vacancies are for a Department of Biotechnology, Government of India funded project entitled "Computational Core for Plant Metabolomics" (Project ID: 632) being administered by Prof Indira Ghosh. Interested candidates should send their applications till 13 December 2013.<br />Important Dates<br />Last Date for receipt of applications: 13 December 2013<br />Vacancy Details<br />Total Vacancies: 4 posts<br />Type of recruitment: Temporary<br />Sl. No.: 01<br />Name of the Post: Research Associate<br />No of Posts: 1 post<br />Remuneration: Rs.  23000 + 30%<br />Qualifications: PhD in Bioinformatics / computational biology / Biophysics / Physical Chemistry / Computer Science. Computational experience, proven by paper published, is a necessary qualification.<br /> Sl. No.: 02<br />Name of the Post: Research Associate<br />No of Posts: 1 post<br />Remuneration: Rs. 23000 + 30%<br />Qualifications: PhD in Computational Biology / Bioinformatics &amp; related subjects. Computational experience, proven by paper published, is a necessary qualification.<br />Sl. No.: 03<br />Name of the Post: Junior Research Fellow<br />No of Posts: 1 post<br />Remuneration: Rs. 12000 + 30%<br />Qualifications: M. Sc. / B. Tech. preferably in Computational Biology /Bioinformatics and related fields with experience in Website designing &amp; maintenance of Database.<br />Sl. No.: 04<br />Name of the Post: Junior Research Fellow<br />No of Posts: 1 post<br />Remuneration: Rs.  12000 + 30%<br />Qualifications: M. Sc. / MCA / B. Tech. preferably in Computational Biology / Computer science with experience in Programming in Java / Python, C++ etc &amp; designing of Database.<br />Selection Procedure: Selection will be done on the basis of candidates’ performance in the Interview.  <br />Candidates short-listed / selected for Interview will be informed through email only.<br />How to Apply: Interested eligible candidates should send their applications, in the prescribed format, along with their current CV by post to “Prof Indira Ghosh, Project Investigator,  Hall#6, School of Computational and Integrative Sciences,  Jawaharlal Nehru University,  New Delhi-110 067” so as to reach the concerned authority by 13 December 2013.<br />Name of the post applied for’ must be superscripted on the envelope containing the application.<br />NOTE: For the post of Research Associates, only those candidates who have submitted thesis are eligible to apply. However, salary will be provided as per DBT / DST guidelines (i.e. candidates who have qualified NET /BET / BINC will have higher pay scale).<br />Candidates interested to register for PhD may not apply for JRF.<br />More @ http://www.jnu.ac.in/Career/currentjobs.htm</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44294/opportunity-at-mcdermott-center-bioinformatics-lab</guid>
  <pubDate>Sat, 01 Apr 2023 09:56:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Opportunity at McDermott Center Bioinformatics Lab]]></title>
  <description><![CDATA[
<p>Our team, composed of experts from diverse backgrounds including genetics, cancer biology, computer science, bioinformatics, and microbiology, stays current with evolving bioinformatics techniques. We offer consulting, customized service, and collaboration opportunities. We suggest visiting us to discuss your experiment design and results, as we can tailor our assistance to meet your specific research goals.</p>

<p>https://labs.utsouthwestern.edu/bioinformatics-lab/positions</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4653/human-genome-meeting-2014-geneva-switzerland</guid>
  <pubDate>Fri, 20 Sep 2013 12:36:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[Human Genome Meeting 2014, Geneva, Switzerland]]></title>
  <description><![CDATA[
<p>The spectacular advances of the last few years resulted in the rapid analysis of the genome sequence of each individual. The biomedical world is now faced with the enormous challenges of assigning pathogenicity to each genomic variant, the functional analysis of the genome of each individual, and the accurate and detailed phenotypic characterization. Advances in these challenges are likely to fundamentally change the medical practice in a global scale.</p>

<p>This 2014 HUGO Meeting in Geneva will be a Forum for discussions on innovative approaches, and proposals to tackle the anticipated challenges.</p>

<p>Time : 27 April 2014 - 30 April 2014 </p>

<p>For enquiries, please email hugo2014@mci-group.com or visit www.hugo-international.org</p>

<p>More at http://www.hgm2014-geneva.org/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44624/bioinformatics-workshops</guid>
	<pubDate>Wed, 31 Jul 2024 02:16:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44624/bioinformatics-workshops</link>
	<title><![CDATA[Bioinformatics Workshops !]]></title>
	<description><![CDATA[<p>When delving into bioinformatics, having access to reliable resources is crucial for effective research and analysis. Key online resources include the National Center for Biotechnology Information (NCBI), which offers tools like BLAST for sequence alignment and comprehensive gene databases. For presentations and educational materials, exploring SlideShare for introductory and advanced bioinformatics topics can provide valuable insights and learning aids.</p>
<p>https://evomics.org/2024-workshop-on-genomics/</p><p>Address of the bookmark: <a href="https://evomics.org/2024-workshop-on-genomics/" rel="nofollow">https://evomics.org/2024-workshop-on-genomics/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4636/molecular-and-computational-biology-research-school</guid>
  <pubDate>Fri, 20 Sep 2013 09:01:18 -0500</pubDate>
  <link></link>
  <title><![CDATA[Molecular and Computational Biology Research School]]></title>
  <description><![CDATA[
<p>The ambition of the Molecular and Computational Biology Research School (MCB) is to create an attractive and stimulating training environment for PhD students in molecular and computational biology, both to better serve the needs for relevant training in the field, and to stimulate crossdiscipline developments in the research of the parties.</p>

<p>http://www.uib.no/rs/mcb</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44669/bioinformatician-at-qub-uk</guid>
  <pubDate>Tue, 01 Oct 2024 21:43:23 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatician at QUB, UK]]></title>
  <description><![CDATA[
<p>The post-holder will work under the direction of the Precision Medicine Centre of Excellence's (PMC) Bioinformatics lead and collaborate closely with the Scientific and Clinical leads. The primary responsibilities will be to develop, validate and maintain data analysis pipelines and algorithms that enable the comprehensive analysis of genomic information derived from cancer specimens, within the context of clinical studies. The PMC is an ISO 15189:2012 accredited medical laboratory (Ref 20634), providing an integrated cancer diagnostic and clinical research service that combines high throughput genomics and digital pathology (www.qub.ac.uk/research-centres/PMC).</p>

<p>About the person:</p>

<p>Essential criteria:</p>

<p>Hold or be about to obtain* a PhD in Computational biology, Bioinformatics, computing science or related subjects. (*must be obtained within 3 months of the closing date for the post) or MSc equivalent with at least 3 years' work experience in a relevant role.<br />Significant relevant research experience in genomics or work experience in a relevant technical/scientific role.<br />Significant experience in managing and analysing NGS data and other big data.<br />Experience in developing and maintaining analysis pipelines.<br />Experience working with Linux/UNIX environments.<br />Proficiency with python, bash, R and/or equivalent languages.<br />To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document linked on our website.</p>

<p>More at https://hrwebapp.qub.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4888/murray-coxs-genomicus-lab</guid>
  <pubDate>Thu, 26 Sep 2013 16:42:42 -0500</pubDate>
  <link></link>
  <title><![CDATA[Murray Cox's Genomicus Lab]]></title>
  <description><![CDATA[
<p>This group interested in modeling genome dynamics in following topics:</p>

<p>---how genetic variation is distributed within and between individuals, <br />---determining how this diversity changes over evolutionary time.</p>

<p>Hence, Cox group work at the interface between biology, statistics and computer science to address questions of outstanding biological importance through intrepretation of large genetic datasets.</p>

<p>Profile:<br />Associate Professor Murray Cox, <br />Inaugural Rutherford Fellow of the Royal Society of New Zealand,  Principal Investigator in the BioProtection Research Center and Associate Investigator in the Allan Wilson Center for Molecular Ecology and Evolution<br />Email : m.p.cox@massey.ac.nz<br />Webpage: http://massey.genomicus.com/index.html</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44702/postdoc-in-comparative-single-cell-genomics-at-university-of-basel</guid>
  <pubDate>Fri, 06 Dec 2024 23:41:20 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc in Comparative Single Cell Genomics at University of Basel]]></title>
  <description><![CDATA[
<p>A fully funded 4-year Postdoc position is available in the lab of Patrick<br />Tschopp at the University of Basel, Switzerland, study the molecular and<br />tissue-scale dynamics during the embryonic formation of the vertebrate<br />skeleton and compare it across different vertebrate species with distinct<br />habitats.</p>

<p>We are looking for a highly motivated candidate with a PhD degree in<br />Bioinformatics or a related field. Candidates are expected to have a<br />strong background in evolutionary biology and/or comparative functional<br />genomics. Additional experiences in single cell functional genomics<br />analyses, statistics and computational data analyses are a plus, as is<br />an interest in comparative developmental (EvoDevo) questions.</p>

<p>We offer a dynamic and interactive research environment with state-of-the<br />art research facilities, good research funding and internationally<br />competitive salaries.</p>

<p>The Tschopp lab (www.evolution.unibas.ch/tschopp/research/)<br />studies the gene regulatory mechanisms of cell type<br />specification and evolution in vertebrates. See also our<br />preprints at https://doi.org/10.1101/2024.03.26.586769 and<br />https://doi.org/10.1101/2024.11.28.625862 Applications should include<br />a motivation letter, a CV, a list of publications, a statement about<br />research interests, as well as the names and contact details of at<br />least two referees. Applications (in the form of a single .pdf file)<br />should be sent to Patrick Tschopp (patrick.tschopp@unibas.ch); review<br />of applications will begin on January 1st 2025, and will continue until<br />the position is filled.</p>

<p>Patrick Tschopp</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5380/04-informatics-approach-to-cancer-interview-with-dr-joel-saltz</guid>
	<pubDate>Mon, 07 Oct 2013 14:35:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5380/04-informatics-approach-to-cancer-interview-with-dr-joel-saltz</link>
	<title><![CDATA[04- Informatics Approach to Cancer - Interview with Dr. Joel Saltz]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/8Kf5EP4LY7k" frameborder="0" allowfullscreen></iframe>For additional information visit http://www.cancerquest.org/joel-saltz-interview.

Dr. Joel Saltz is a Professor in the Departments of Pathology, Biostatistics and Bioinformatics, and Mathematics and Computer Science at
Emory University. Dr. Saltz's research on bioinformatics spans several disciplines.  One project involves applying computer analysis to medical imaging to yield better results for patients.  As an example, a computer program may able to help doctors detect small cancers in a CT scan or mammogram. 

In this interview segment, Dr. Saltz  discusses the informatics approach to cancer.

To learn more about cancer and watch additional interviews, please visit the CancerQuest website at http://www.cancerquest.org.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44716/exploring-rna-sequence-analysis-tools-for-every-bioinformatician</guid>
	<pubDate>Fri, 13 Dec 2024 04:03:04 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44716/exploring-rna-sequence-analysis-tools-for-every-bioinformatician</link>
	<title><![CDATA[Exploring RNA Sequence Analysis: Tools for Every Bioinformatician]]></title>
	<description><![CDATA[<p>RNA sequence analysis has become an essential part of modern biological research. From RNA-seq pipelines to specialized tools for specific RNA types, here's a comprehensive guide to tools you can use to make sense of RNA data.</p><h4><strong>1. RNA-Seq Analysis Pipelines</strong></h4><p>RNA-seq is one of the most popular techniques for studying RNA. These tools streamline processing raw sequence data:</p><ul>
<li><strong>FASTQC</strong>: For quality control of raw RNA-seq reads.</li>
<li><strong>Trimmomatic</strong>: For trimming and filtering RNA-seq reads.</li>
<li><strong>HISAT2/STAR</strong>: High-performance aligners for RNA-seq reads.</li>
<li><strong>FeatureCounts</strong>: For quantifying gene expression.</li>
<li><strong>DESeq2/EdgeR</strong>: For differential expression analysis.</li>
</ul><h4><strong>2. Transcriptome Assembly and Annotation</strong></h4><p>For analyzing transcriptomes from non-model organisms or assembling novel transcripts:</p><ul>
<li><strong>Trinity</strong>: For de novo transcriptome assembly.</li>
<li><strong>StringTie</strong>: For transcript assembly and quantification from RNA-seq alignments.</li>
<li><strong>TransDecoder</strong>: To predict coding regions within assembled transcripts.</li>
<li><strong>TAU</strong>: Tools for annotating non-coding and coding RNAs.</li>
</ul><h4><strong>3. Exploring Non-Coding RNA (ncRNA)</strong></h4><p>Non-coding RNAs play critical regulatory roles. Dedicated tools for studying them include:</p><ul>
<li><strong>Infernal</strong>: For identifying ncRNA sequences based on covariance models.</li>
<li><strong>Rfam</strong>: Database and tools for ncRNA families.</li>
<li><strong>miRDeep</strong>: For identifying microRNAs in RNA-seq datasets.</li>
</ul><h4><strong>4. RNA Structure and Motif Analysis</strong></h4><p>Structural biology of RNA helps in understanding its function:</p><ul>
<li><strong>RNAfold (ViennaRNA)</strong>: Predicts secondary structures from RNA sequences.</li>
<li><strong>RNAstructure</strong>: Tools for RNA secondary structure prediction and analysis.</li>
<li><strong>MEME Suite</strong>: For identifying motifs in RNA sequences.</li>
<li><strong>IntaRNA</strong>: For RNA-RNA interaction prediction.</li>
</ul><h4><strong>5. RNA Editing and Modifications</strong></h4><p>Epitranscriptomics is a growing field focusing on RNA modifications:</p><ul>
<li><strong>REDItools</strong>: For RNA editing analysis.</li>
<li><strong>m6Aboost</strong>: For identifying m6A modifications in RNA.</li>
</ul><h4><strong>6. Long-Read RNA Sequencing Analysis</strong></h4><p>Long-read technologies like Nanopore and PacBio are transforming RNA research:</p><ul>
<li><strong>FLAIR</strong>: For isoform-level analysis of long-read RNA-seq data.</li>
<li><strong>NanoMod</strong>: For detecting modifications in RNA from Nanopore sequencing.</li>
</ul><h4><strong>7. RNA-Protein Interactions</strong></h4><p>To study RNA-protein interactions and complexes:</p><ul>
<li><strong>RBPmap</strong>: For identifying RNA-binding protein motifs.</li>
<li><strong>PARalyzer</strong>: For analyzing PAR-CLIP data.</li>
</ul><h4><strong>8. Functional Enrichment Analysis</strong></h4><p>Understanding biological functions and pathways from RNA-seq data:</p><ul>
<li><strong>getENRICH</strong>: A tool designed for pathway enrichment analysis of non-model organisms (hypergeometric P-value calculation with FDR correction).</li>
<li><strong>ClusterProfiler</strong>: For GO and KEGG pathway enrichment analysis.</li>
</ul><h4><strong>9. Visualization and Data Sharing</strong></h4><p>Presenting and sharing RNA sequence analysis results effectively:</p><ul>
<li><strong>IGV</strong>: Genome browser for visualizing RNA-seq alignments.</li>
<li><strong>Circos</strong>: Circular visualization of RNA-seq data.</li>
<li><strong>DashBio</strong>: A Python library for creating bioinformatics visualizations.</li>
</ul><h4><strong>Conclusion</strong></h4><p>The bioinformatics landscape for RNA sequence analysis is vast, with tools catering to specific needs. Whether you&rsquo;re studying coding RNAs, non-coding RNAs, or exploring RNA-protein interactions, the right tools can transform your data into biological insights.</p>]]></description>
	<dc:creator>Neel</dc:creator>
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