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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/1970?offset=30</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/45351/ai-uncovers-hidden-secrets-in-bacterial-dna-opening-new-frontiers-in-genomic-research</guid>
	<pubDate>Fri, 25 Sep 2026 22:38:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/45351/ai-uncovers-hidden-secrets-in-bacterial-dna-opening-new-frontiers-in-genomic-research</link>
	<title><![CDATA[AI Uncovers Hidden Secrets in Bacterial DNA, Opening New Frontiers in Genomic Research]]></title>
	<description><![CDATA[<div style="margin-top: 0.5em; margin-bottom: 0.5em;">Scientists are now using artificial intelligence in order to examine sections of bacterial DNA that have not been looked at before. This method is showing potential RNA interactions and previously unknown genetic systems which could alter our understanding of microbes. A new study presents Minerva, a genome language model, demonstrating that AI can assist researchers in identifying biological patterns that traditional techniques might fail to detect.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">The study, which was made available as a preprint on bioRxiv on 23 September 2026, focuses on the non-coding sections of DNA that are still largely unknown. Although these areas do not produce proteins, they can contain important signals and instructions which have an effect on cell function. The research presents a novel approach to investigating how bacteria handle and control their genetic information.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;"><span style="font-weight: bold;">AI maps previously unexplored genomic regions</span></div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">The team developed Minerva in order to identify possible interactions between different regions in microbial genomes; rather than depending on similarities with known sequences, Minerva predicts these relationships directly from the DNA by using patterns learned by a genome language model.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">On 150 bacterial genomes, Minerva identified a large number of interactions that were not included in the existing annotations. The researchers stated that 84.3 per cent of the predicted intergenic base-pairing interactions were not present in the current annotations, which demonstrates that AI can be of help in generating new ideas in biology.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;"><span style="font-weight: bold;">Unusual RNA structures and viral genetic systems identified</span></div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">The study also examined a bacterial RNA family known as TwoAYGGAY in Pseudomonas; the model anticipated longer RNA structures and identified associations with repeated DNA sequences, thus providing new insights into how these non-coding elements are organised and how they have evolved.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">In a separate section of the study, the researchers examined reverse transcriptase systems associated with bacteriophages, which are viruses that infect bacteria. They identified RNA arrays that maintain their structure but have different sequences and were linked to Unknown Group 27 reverse transcriptases. The findings indicate that these RNAs could function as templates for the production of complementary DNA that is capable of forming hairpin shapes.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">The researchers also observed that Minerva was able to detect patterns associated with protein-coding areas, even though it had not been trained to do so. This indicates that genome language models may pick up on biological signals that go beyond what they were intended to identify.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;"><span style="font-weight: bold;">Implications for future genomic research</span></div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">The fact that artificial intelligence is becoming increasingly important in the field of microbial genomics is shown by the fact that models such as Minerva are able to predict interactions and identify patterns in areas which have not been extensively studied, thus helping researchers to decide what to study next and enabling them to gain a better understanding of biological systems that are still not well understood.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">Yet the predictions do not reveal the exact function of each element identified. In order to verify which of the predicted interactions actually take place in living cells and the way in which they affect the microbes, experiments will be necessary. Although the study has undergone peer review, it does nonetheless offer a promising illustration of how machine learning can complement traditional genomics and assist scientists in moving from the identification of known genes to the exploration of the complex relationships that shape microbial life.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">More at https://www.biorxiv.org/content/10.64898/2026.09.22.753630v2.full.pdf</div><div style="color: #000000; font-size: medium;">&nbsp;</div>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/3889/bioinformatics-and-sequencing-courses-and-workshops</guid>
	<pubDate>Sat, 24 Aug 2013 16:41:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/3889/bioinformatics-and-sequencing-courses-and-workshops</link>
	<title><![CDATA[Bioinformatics and Sequencing Courses and Workshops]]></title>
	<description><![CDATA[<p>Swiss Institute of Bioinformatics (SIB) organises lots of bioinformatics courses covering wide range of topics:</p><p><a href="http://www.isb-sib.ch/education/training-courses.html">http://www.isb-sib.ch/education/training-courses.html</a></p><p>Canadian bioinformatics also organises various bioinformatics and sequencing courses:</p><p><a href="http://bioinformatics.ca/workshops">http://bioinformatics.ca/workshops</a></p><p>In addition to above two, EMBI&nbsp;Europe, EMBO Europe, Cold Spring Harbour USA, Wellcome Trust UK and NOVA&nbsp;Europe&nbsp;also organise bioinformatics and sequencing courses annually:</p><p><a href="http://www.embl.de/training/events/index.php?p_outstation=ALL">http://www.embl.de/training/events/index.php?p_outstation=ALL</a></p><p><a href="http://www.embo.org/funding-awards/courses-workshops">http://www.embo.org/funding-awards/courses-workshops</a></p><p><a href="http://meetings.cshl.edu/courses.html">http://meetings.cshl.edu/courses.html</a></p><p><a href="http://www.wellcome.ac.uk/Education-resources/Courses-and-conferences/Advanced-Courses-and-Scientific-Conferences/Advanced-Courses/index.htm">http://www.wellcome.ac.uk/Education-resources/Courses-and-conferences/Advanced-Courses-and-Scientific-Conferences/Advanced-Courses/index.htm</a></p><p><a href="http://www.nova-university.org/pagetop.cfm?MenySidorTop_id=2&amp;open=7">http://www.nova-university.org/pagetop.cfm?MenySidorTop_id=2&amp;open=7</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4211/socbin-bioinformatics-2014</guid>
  <pubDate>Tue, 03 Sep 2013 18:50:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[SocBiN Bioinformatics 2014]]></title>
  <description><![CDATA[
<p>14th annual conference in Bioinformatics</p>

<p>Date : June 10-13</p>

<p>Organizers: The Society for Bioinformatics in Northern European countries (SocBiN) and the Norwegian Bioinformatics Platform / ELIXIR.NO </p>

<p>Venue: Department of Informatics, University of Oslo, Norway</p>

<p>Topics:<br />Tools and technologies for integrative bioinformatics<br />Metagenomics<br />Comparative genomics and phylogeny<br />Post-ENCODE bioinformatics<br />Gene regulation<br />Cancer genomes<br />Marine genomics</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6130/rna-bioinformatics-and-high-throughput-analysis-jena</guid>
  <pubDate>Sat, 09 Nov 2013 20:03:56 -0600</pubDate>
  <link></link>
  <title><![CDATA[RNA Bioinformatics and High Throughput Analysis Jena]]></title>
  <description><![CDATA[
<p>Research Topics:</p>

<p>High Throughput Sequencing Analysis<br />Comparative Genomics<br />Identification and Annotation of Non-coding RNAs<br />Bioinformatic Analysis and System Biology of Viruses<br />Coevolution of Proteins and RNAs<br />Algorithmic Bioinformatics<br />Phylogenetic Analysis</p>

<p>http://www.rna.uni-jena.de/index.php</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9675/application-scientist-in-strand-lifesciences-bangalore</guid>
  <pubDate>Mon, 07 Apr 2014 08:17:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Application Scientist in Strand LifeSciences Bangalore]]></title>
  <description><![CDATA[
<p>Job Description<br />We are looking for a motivated application scientist to help evaluate, compare, and develop next generation sequencing (NGS) data analysis methods. The successful candidate should be able to quickly understand the state-of-art computational biology techniques, prototype them and perform benchmarking studies. The candidate must also be comfortable working with people from different disciplines and be able to present data analysis results in a clear and effective manner. The candidate is also expected to interact with customers as needed, write technical reports and publish new methods and/or data analysis findings in public forums.</p>

<p>Candidate Requirements:<br />A PhD in computer science, computational biology, Bioinformatics, or a related field, along with sufficient programming skills for prototyping. Experience with next generation sequencing data analysis is required. Candidates with MS degree but with relevant work experience can also be considered. </p>

<p>To Apply<br />To apply, please send your updated CV and cover letter to Dr. Rohit Gupta (rohit@strandls.com). </p>

<p>Source: http://www.strandls.com/application-scientist</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/21150/webinar-on-an-integrated-rna-and-dna-approach-to-unravel-genetic-regulation-in-cancer</guid>
	<pubDate>Wed, 11 Feb 2015 04:59:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/21150/webinar-on-an-integrated-rna-and-dna-approach-to-unravel-genetic-regulation-in-cancer</link>
	<title><![CDATA[Webinar on 'An integrated RNA and DNA approach to unravel genetic regulation in cancer']]></title>
	<description><![CDATA[<div><p><strong>Webinar on 'An integrated RNA and DNA approach to unravel genetic regulation in cancer'</strong></p><p><strong>Abstract</strong></p><p>Whole exome DNA sequencing (WES) or whole genome DNA sequencing (WGS) allows detection of mutations and polymorphisms in all exonic and genomic regions, respectively, while messenger RNA sequencing (RNA-Seq) enables quantitative analysis of gene expression. Mutations in the genome result in diverse transcriptional aberrations that can be missed in a stand-alone WES/WGS analysis. An integration of DNA variant analysis and RNA-Seq analysis enables one to investigate the consequences of genomic changes in the RNA transcripts including germline and somatic changes, imprinting, RNA editing and allele specific expression (ASE). In this webinar, we will demonstrate this integrated approach using Strand NGS to identify high confidence mutations, RNA editing events and ASE in cancer.</p><p><strong>Webinar Details</strong></p><table width="100%" border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td valign="top">
<p style="text-align: center;"><br /> <strong>Sessions</strong></p>
</td>
<td valign="top">
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>San Francisco Time<br /> (PST)</strong></a></p>
</td>
<td valign="top">
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>Tokyo Time<br /> (GMT+09:00)</strong></a></p>
</td>
<td valign="top">
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>Berlin Time<br /> (GMT+01:00)</strong></a></p>
</td>
<td valign="top">
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>Mumbai Time<br /> (GMT+05:30)</strong></a></p>
</td>
</tr>
<tr>
<td>
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>Session 1</strong></a></p>
</td>
<td valign="top">
<p style="text-align: center;">25 Feb&nbsp;<br /> 12:30 AM</p>
</td>
<td>
<p style="text-align: center;">25 Feb&nbsp;<br /> 5:30 PM</p>
</td>
<td>
<p style="text-align: center;">25 Feb&nbsp;<br /> 9:30 AM</p>
</td>
<td>
<p style="text-align: center;">25 Feb&nbsp;<br /> 2:00 PM</p>
</td>
</tr>
<tr>
<td valign="top">
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>Session 2</strong></a></p>
</td>
<td valign="top">
<p style="text-align: center;">25 Feb&nbsp;<br /> 9:00 AM</p>
</td>
<td>
<p style="text-align: center;">26 Feb<br /> 2:00 AM</p>
</td>
<td>
<p style="text-align: center;">25 Feb&nbsp;<br /> 6:00 PM</p>
</td>
<td>
<p style="text-align: center;">25 Feb&nbsp;<br /> 10:30 PM</p>
</td>
</tr>
</tbody>
</table><p><strong style="font-size: 12.8000001907349px;">Register here: </strong><a href="http://www.strand-ngs.com/webinar_registration">http://www.strand-ngs.com/webinar_registration</a></p><p><strong>About Speaker:</strong></p><p>Dr. Veena Hedatale, has a PhD in Plant Genetics from The Radboud University, Netherlands focused on meiosis and recombination. Her prior academic experience at Cornell University was on genetic mapping and gene transformation in Rice. She has worked with Monsanto, and contributed to data mining, database development as well as gene/promoter/pathway discovery for traits related to yield and stress in crop species. At Strand, Veena has worked on Pharmacogenomic analysis of targets and Gene family analysis projects. Currently, she is part of the Strand NGS Application Science team and is involved in the analysis of next generation sequencing data.</p><p>Please feel free to contact us 24/5, for availing free online training or if you have any questions.</p></div><div><p><strong style="font-size: 12.8000001907349px;">Email:</strong> sales@strandngs.com</p><p><strong>Phone (USA):</strong> 1-800-752-9122</p><p><strong>Phone (ROW):</strong> +1-650-353-5060</p><p>&nbsp;</p></div>]]></description>
	<dc:creator>Yeshodari</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34546/comparative-genomics-scripts</guid>
	<pubDate>Wed, 06 Dec 2017 15:20:45 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34546/comparative-genomics-scripts</link>
	<title><![CDATA[Comparative genomics scripts]]></title>
	<description><![CDATA[<p>Comparative genomics educational material and papers bookmarks</p>
<p>https://github.com/iansealy/coursera-comparinggenomes</p><p>Address of the bookmark: <a href="https://github.com/iansealy/coursera-comparinggenomes" rel="nofollow">https://github.com/iansealy/coursera-comparinggenomes</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37259/epiviz-an-interactive-visualization-tool-for-functional-genomics-data</guid>
	<pubDate>Mon, 09 Jul 2018 05:27:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37259/epiviz-an-interactive-visualization-tool-for-functional-genomics-data</link>
	<title><![CDATA[Epiviz: an interactive visualization tool for functional genomics data.]]></title>
	<description><![CDATA[<p><span>Epiviz is an interactive visualization tool for functional genomics data. It supports genome navigation like other genome browsers, but allows multiple visualizations of data within genomic regions using scatterplots, heatmaps and other user-supplied visualizations. It also includes data from the&nbsp;</span><a href="http://barcode.luhs.org/" target="_blank">Gene Expression Barcode project</a><span>&nbsp;for transcriptome visualization. It has a flexible plugin framework so users can add</span><a href="http://d3js.org/" target="_blank">d3</a><span>&nbsp;visualizations. You can see a video tour&nbsp;</span><a href="http://youtu.be/099c4wUxozA" target="_blank">here</a><span>.</span></p>
<p><span>https://bioconductor.org/packages/release/bioc/html/epivizr.html</span></p>
<p><span>https://github.com/epiviz</span></p>
<p><span>https://github.com/epiviz/epiviz</span></p><p>Address of the bookmark: <a href="https://epiviz.github.io/" rel="nofollow">https://epiviz.github.io/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/40305/naab-doak-graduate-fellowship-bovine-genomics-course</guid>
  <pubDate>Thu, 28 Nov 2019 21:45:35 -0600</pubDate>
  <link></link>
  <title><![CDATA[NAAB Doak Graduate Fellowship bovine genomics course]]></title>
  <description><![CDATA[
<p>This is a reminder for all that seek a fully funded MSc in bovine genetics, or those that know talented BSc students who want to progress their education.<br /> <br />The deadline for the NAAB Doak Graduate Fellowship is less than a month away.<br /> <br />Applications are accepted until the 1st of December.<br /> <br />Please check the attachment or visit our website for further details:<br /> <br />https://www.naab-css.org/news/-naab-doak-graduate-fellowship<br /> <br />Sophie Eaglen<br />NAAB</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</guid>
	<pubDate>Thu, 13 Feb 2020 00:20:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</link>
	<title><![CDATA[genomics public data links !]]></title>
	<description><![CDATA[<p>List of publically available databases on google server.</p>
<p>More at <a href="https://software.broadinstitute.org/gatk/download/bundle">https://software.broadinstitute.org/gatk/download/bundle</a></p>
<p><a href="ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/">ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/</a>.</p>
<p><a href="ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/">ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/</a></p><p>Address of the bookmark: <a href="https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1" rel="nofollow">https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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