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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/23680?offset=1290</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4575/hiv-phd-and-msc-research-positions</guid>
  <pubDate>Mon, 16 Sep 2013 18:55:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[HIV PhD and MSc Research Positions]]></title>
  <description><![CDATA[
<p>SANBI are looking to recruit two MSc students and a PhD student who are interested in implementing a computational biology approach to explore HIV’s glycan shield. Successful candidates for the MSc should hold an honours degree in physics, computer science or biological sciences while PhD applicants should hold an honours degree and a MSc in one or more of physics, computer science or biological sciences.</p>

<p>As these positions are funded by the South African National Research Foundation (NRF) priority will be given to South African citizens and permanent residents however exceptional applicants who do not fulfil these criteria may be considered.</p>

<p>Applications including a CV outlining your experience together with a cover letter detailing why you are a suitable candidate should be sent to simon_at_sanbi.ac.za by 30th September 2013.</p>

<p>More @ http://www.sanbi.ac.za/hiv-phd-and-msc-research-positions/</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/43418/caceres-lab</guid>
  <pubDate>Sat, 02 Oct 2021 00:20:42 -0500</pubDate>
  <link></link>
  <title><![CDATA[Cáceres Lab]]></title>
  <description><![CDATA[
<p>Lab are included within the Genomics, Bioinformatics and Evolution group of the UAB, and collaborate closely with other researchers in the Barcelona area, such as Xavier Estivill of the Centre for Genomic Regulation (CRG), Juan R González of the Centre for Research in Environmental Epidemiology (CREAL), and Tomàs Marqués-Bonet of the Institute of Evolutionary Biology (IBE), as well as with other international groups and projects.</p>

<p>https://grupsderecerca.uab.cat/cacereslab/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/43913/lsugenomics-lab</guid>
  <pubDate>Thu, 07 Jul 2022 05:26:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[lsugenomics Lab]]></title>
  <description><![CDATA[
<p>﻿In our lab, we seek to characterize and to compare genomes in order to better understand genetic and evolutionary processes linking genotypes to phenotypes.  <br /> <br />Sequencing and decoding plant genomes have been integral in our approaches.</p>

<p>The overarching goal of our research is to understand how to interpret complex and fascinating messages embedded in genomes.</p>

<p>https://www.lsugenomics.org/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4945/national-training-on-bioinformatics-computational-tools-for-microbial-research-nov-19-to-30-2013</guid>
  <pubDate>Fri, 27 Sep 2013 10:49:34 -0500</pubDate>
  <link></link>
  <title><![CDATA[National Training on Bioinformatics  Computational Tools for Microbial Research  Nov 19 to 30, 2013]]></title>
  <description><![CDATA[
<p>Agricultural research in modern scientific arena is being represented by proper integration among various research fields of biological, chemical and physical sciences, because this field encompasses many more complexities of biology in nature. In the era of fast accumulating biological data coming out from the research on many crop plants, live stocks and microbes and the impact of changing climate, habitat and other interrelations on these biological entities, bioinformatics has come forward across the globe to solve the problems of analysis, prediction, storage, management, pattern recognition, submission, retrieval and storage of the data to find out a fruitful outcome. This area is becoming increasingly important in the context of systems biology approach where a holistic approach is required to understand the biology and chemistry of the biological entities and their behavior during environmental interactions to resolve the harmful impact of biotic or abiotic causes on crop plants, animals, fishes, livestock sector, beneficial insects as well as microbes. The National Training program on ‘Computational Tools for Microbial Research” is an initiative for the capacity building of NARS scientists/researchers in this most emerging area and fast developing area of i.e. agricultural bioinformatics.</p>

<p>Contact The Director, National Bureau of Agriculturally Important Microorganisms, Kusmaur, Maunath Bhanjan-275101 (U.P.); Phone: 0547-2530080, Fax: 0547-2530358, e mail: nbaimicar@gmail.com; website: www.nbaim.org.in OR</p>

<p>Dr. Dhananjaya P. Singh, Senior Scientist &amp; CCPI, NABG project, NBAIM, Maunath Bhanjan, 275101; Mob.- 09415291703; e mail - dpsfarm@rediffmail.com, nabg.nbaim@gmail.com </p>

<p>More at http://www.nbaim.org.in/Announc.aspx?cd=36</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44204/bioinformatics-training-collections</guid>
	<pubDate>Sun, 05 Mar 2023 23:01:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44204/bioinformatics-training-collections</link>
	<title><![CDATA[Bioinformatics Training Collections !]]></title>
	<description><![CDATA[<p>Useful list of bioinformatics training collections @&nbsp;https://github.com/sib-swiss/training-collection</p><p>Address of the bookmark: <a href="https://github.com/sib-swiss/training-collection" rel="nofollow">https://github.com/sib-swiss/training-collection</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44413/bioinformatics-opening-at-nibmg-india</guid>
  <pubDate>Sun, 03 Dec 2023 00:16:59 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Opening at NIBMG, India]]></title>
  <description><![CDATA[
<p>NIBMG is looking for motivated and bright individuals interested to explore career<br />opportunities for the position of Research Associate (Project Linked Person) for extramural<br />project funded by ICMR as per details given below.<br />Project Name: Fast detection of driver mutations and genes from cancer genomics data using<br />an integrative machine learning-based approach.</p>

<p>More at https://www.nibmg.ac.in/uploads/3c5d4da3fb31bef490a218805408c858.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44726/postdoc-at-ubasel-comparative-single-cell-genomics</guid>
  <pubDate>Fri, 13 Dec 2024 12:46:19 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc at UBasel Comparative Single Cell Genomics]]></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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5403/research-associate-icgeb-new-delhi</guid>
  <pubDate>Wed, 09 Oct 2013 13:49:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate @ ICGEB, New Delhi.]]></title>
  <description><![CDATA[
<p>Applications are invited for Research Associate position in the DBT Sponsored Bioinformatics Infrastructure Facility at ICGEB, New Delhi.</p>

<p>Essential requirements: Experience of using bioinformatics tools.</p>

<p>Experience of working in Linux. Basic knowledge of computer network administration.</p>

<p>Desirable: Knowledge of Linux installation/administration and proficiency in either of the following:</p>

<p>Shell/PERL/Java/Python/VB/Oracle/MySQL/C/CUDA.</p>

<p>Qualification: PhD. or First class M.Sc degree in Bioinformatics or Biotechnology/life science with specialization in Bioinformatics.</p>

<p>Fellowships: Rs 22,000/- with HRA for PhD qualified, Rs 16000/- with HRA for NET/BET/BINC/GATE qualified and 12000/- with HRA for non NET qualified applicants.</p>

<p>Interested candidates may send their complete biodata along with a write-up of their experience and suitability for the position to Dr. Dinesh Gupta by email only to dinesh@icgeb.res.in within 15 days of publication of this advertisement. Kindly mark the email with subject “Application for BIF-RA-2013”</p>

<p>Closing date for applications: 18 October 2013</p>

<p>Only short listed candidates will be invited for an interview at ICGEB.</p>

<p>No TA/DA will be paid for attending the interview.</p>

<p>Advertisement: http://www.icgeb.org/tl_files/Vacancies/BIF-RA-Advt.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5574/srfjrfra-university-of-hyderabad</guid>
  <pubDate>Mon, 14 Oct 2013 07:49:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF/RA @ UNIVERSITY OF HYDERABAD]]></title>
  <description><![CDATA[
<p>SCHOOL OF CHEMISTRY, UNIVERSITY OF HYDERABAD</p>

<p>Applications on plain paper along with details of CV (relevant photocopies of their<br />qualifications/experience and reprints of published work to be attached) are invited from qualified candidates for Research Fellowship in CSIR- sponsored research project.</p>

<p>JRF/SRF/RA (one vacancy)</p>

<p>CSIR sponsored “In silico design, identification and in vitro validation of lead molecule inhibitors to Bcr-Abl kinase”</p>

<p>JRF: M.Sc in Chemistry/ Bioinformatics/ Biotechnology with I division and NET or GATE qualified</p>

<p>SRF: M.Sc in chemistry/ Bioinformatics/ Biotechnology with at least two years of post- M.Sc research experience as evidenced from published papers in standard refereed journals in relevant area</p>

<p>RA: PhD in chemistry/ Bioinformatics/ Biotechnology with research experience in<br />relevant area.</p>

<p>As per CSIR guidelines</p>

<p>Notes:<br />1) You may visit the University of Hyderabad website www.uohyd.ernet.in to learn more about the University of Hyderabad.<br />2) Applicants should note that the appointment to be made is purely temporary and there is no right for claiming for any regular appointment in the University.<br />3) No TA/DA will be paid for attending the interview or at the time of joining the post, if selected.<br />4) The application should be submitted by post/courier/in-person to the address given below on or before November 1st 2013.</p>

<p>Prof. Lalitha Guruprasad<br />W-103, Gurbakhsh Singh Building<br />School of Chemistry<br />University of Hyderabad<br />Hyderabad- 500 046<br />5) Short-listed candidates will be called for interview at a short notice.</p>

<p>Advertisement: http://www.uohyd.ac.in/images/recruitment/chemisry_advt_101013.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44703/the-role-of-lncrna-in-bioinformatics-unlocking-the-secrets-of-the-genome</guid>
	<pubDate>Sat, 07 Dec 2024 02:09:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44703/the-role-of-lncrna-in-bioinformatics-unlocking-the-secrets-of-the-genome</link>
	<title><![CDATA[The Role of lncRNA in Bioinformatics: Unlocking the Secrets of the Genome]]></title>
	<description><![CDATA[<p>In the intricate dance of molecular biology, long non-coding RNAs (lncRNAs) have emerged as key players, capturing the interest of researchers worldwide. These RNA molecules, once dismissed as "junk," have proven to be vital in the regulation of gene expression, cellular processes, and the progression of diseases. The intersection of lncRNA studies and bioinformatics is transforming our understanding of these enigmatic molecules, offering profound insights into their structure, function, and therapeutic potential.</p><h3>What Are lncRNAs?</h3><p>lncRNAs are RNA transcripts longer than 200 nucleotides that do not code for proteins. Despite their non-coding nature, they play diverse roles in gene regulation, including chromatin remodeling, transcriptional control, and post-transcriptional processing. Unlike messenger RNAs (mRNAs), lncRNAs often function as scaffolds, decoys, or guides in cellular machinery, influencing biological processes such as cell differentiation, immune response, and even cancer metastasis.</p><h3>Challenges in lncRNA Research</h3><p>Identifying and understanding lncRNAs pose unique challenges:</p><ol>
<li><strong>High Sequence Variability</strong>: Unlike protein-coding genes, lncRNAs exhibit low sequence conservation across species, making functional predictions difficult.</li>
<li><strong>Low Expression Levels</strong>: lncRNAs are often expressed at low levels, complicating their detection in transcriptomic data.</li>
<li><strong>Diverse Functions</strong>: The multifunctional nature of lncRNAs requires advanced computational tools to decipher their roles in complex networks.</li>
</ol><h3>Bioinformatics: A Crucial Ally in lncRNA Research</h3><p>Bioinformatics bridges the gap between raw biological data and meaningful insights, making it indispensable in lncRNA research. Here&rsquo;s how:</p><h4>1. <strong>Identification and Annotation</strong></h4><p>High-throughput sequencing technologies like RNA-seq generate vast amounts of data. Bioinformatics tools such as <em>StringTie</em>, <em>Cufflinks</em>, and <em>HISAT2</em> help assemble and annotate lncRNAs from this data. Additionally, databases like NONCODE, LNCipedia, and Ensembl provide curated repositories of lncRNA sequences and annotations.</p><h4>2. <strong>Functional Prediction</strong></h4><p>Bioinformatics algorithms predict the potential functions of lncRNAs by analyzing their interactions with DNA, RNA, and proteins. Tools like LncRNA2Function and RIblast utilize sequence motifs and secondary structure predictions to hypothesize about the roles of specific lncRNAs.</p><h4>3. <strong>Network Construction</strong></h4><p>lncRNAs often act as regulatory hubs. Bioinformatics platforms such as Cytoscape enable the visualization of lncRNA-mediated networks, elucidating their roles in pathways like cell cycle regulation and apoptosis.</p><h4>4. <strong>Epigenetic Studies</strong></h4><p>lncRNAs are known to interact with chromatin-modifying complexes, influencing gene expression epigenetically. Tools like ChIP-seq and ATAC-seq, combined with computational pipelines, identify these interactions and map them to the genome.</p><h4>5. <strong>Clinical Applications</strong></h4><p>Bioinformatics aids in the discovery of lncRNA biomarkers for diseases like cancer and neurodegenerative disorders. Machine learning models analyze differential expression profiles, helping prioritize lncRNAs with therapeutic potential.</p><h3>Case Study: lncRNAs in Cancer Research</h3><p>lncRNAs such as HOTAIR and MALAT1 have been implicated in cancer progression. Bioinformatics analyses have revealed their roles in promoting metastasis and altering the tumor microenvironment. For example, transcriptome analysis in cancer patients identifies lncRNA expression signatures, enabling precision medicine approaches.</p><h3>Future Directions</h3><p>The fusion of bioinformatics with experimental biology is unlocking the secrets of lncRNAs. Advances in artificial intelligence, single-cell sequencing, and structural modeling promise to overcome current limitations. Here are some promising directions:</p><ul>
<li><strong>Integrative Analysis</strong>: Combining multi-omics data to understand the interplay of lncRNAs with other biomolecules.</li>
<li><strong>CRISPR Screens</strong>: Leveraging bioinformatics to design CRISPR-based functional screens for lncRNAs.</li>
<li><strong>Therapeutic Development</strong>: Using bioinformatics to design lncRNA-based therapeutics, including antisense oligonucleotides and RNA interference tools.</li>
</ul><h3>Conclusion</h3><p>lncRNAs are the hidden gems of the genome, and bioinformatics is the key to unearthing their full potential. As research progresses, lncRNAs could pave the way for novel diagnostics, targeted therapies, and personalized medicine, revolutionizing our approach to complex diseases.</p><p>The journey into the world of lncRNAs is only beginning, and bioinformatics will continue to play a pivotal role in decoding these molecular mysteries. Whether you&rsquo;re a researcher, clinician, or bioinformatics enthusiast, the study of lncRNAs offers a fascinating frontier of discovery.</p>]]></description>
	<dc:creator>LEGE</dc:creator>
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