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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/19556?offset=1290</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4094/manufacturing-life-with-j-craig-venter</guid>
	<pubDate>Thu, 29 Aug 2013 08:52:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4094/manufacturing-life-with-j-craig-venter</link>
	<title><![CDATA[Manufacturing Life with J. Craig Venter]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/PKtozMvSsBk" frameborder="0" allowfullscreen></iframe>J. Craig Venter, CEO of Synthetic Genomics, talks about finding genomic-driven solutions to address global needs such as new sources of energy, food and vaccines in an interview with James Bennet, Editor-in-Chief of The Atlantic. This program is introduced by Pradeep Khosla, the new chancellor of the University of California, San Diego.  Series: "The Atlantic Meets The Pacific" [11/2012] [Public Affairs] [Show ID: 24359]
The Atlantic Meets the Pacific playlist: http://goo.gl/5V8Yb
The Atlantic Meets the Pacific on UCTV: http://www.uctv.tv/atlanticpacific
UCTV: http://www.uctv.tv]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19272/translate2r</guid>
	<pubDate>Fri, 21 Nov 2014 01:16:06 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19272/translate2r</link>
	<title><![CDATA[translate2R]]></title>
	<description><![CDATA[<p>After their presentation at the international &ldquo;user!&rdquo; conference, data analysis specialist <a href="http://www.eoda.de/en/" target="_blank">eoda</a> starts the public alpha testing of <a href="http://www.eoda.de/en/translate2R.html" target="_blank">translate2R</a>. With the start of alpha testing the innovative migration solution by the company hailing from Kassel discards the working title &ldquo;translateR&rdquo; and takes on the final product brand name &ldquo;translate2R&rdquo;. translate2R is a service for the automated translation of SPSS&reg; syntax to R code, therefore supporting data analysts with a quick and low-risk migration to R.</p><p>The manual translation of many, frequently rather complex SPSS scripts often presents itself as a tedious and error-prone task, and represents a rather large obstacle for many analysts and companies to migrate to a modern, open source data management and analysis tool like R. With translate2R this hurdle will be diminished substantially.</p><p>Find at https://service.eoda.de/translater/?lang=en</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/36191/bioinformatics-workshops-no-coding-required</guid>
	<pubDate>Mon, 09 Apr 2018 13:06:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/36191/bioinformatics-workshops-no-coding-required</link>
	<title><![CDATA[Bioinformatics Workshops - NO CODING REQUIRED]]></title>
	<description><![CDATA[<p><img src="https://edu.t-bio.info/wp-content/uploads/2018/03/t-bioinfo-bioinformatics-workshops.jpg" alt="Bioinformatics Workshops T-BioInfo" width="568" height="319" style="vertical-align: middle; border: 0px;"></p><p>Pine Biotech, Inc., a US-based startup working with the Tauber Bioinformatics Research Center is offering a full curriculum online preparing students without any technical background for real-life challenges with large scale biomedical data. Workshops on processing, analysis and biomedical interpretation of Next Generation Sequencing data cover important up-to-date algorithms and machine learning approaches. The most important thing is that there are virtually no pre-requisites such as coding, biostatistics or advanced medical skills. If you know what gene is and how the genes are expressed, you are ready to take the courses or join our workshops. Learn more:&nbsp;https://edu.t-bio.info/workshops/</p>]]></description>
	<dc:creator>eliabrodsky</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41869/hs3d-homo-sapiens-splice-sites-dataset</guid>
	<pubDate>Fri, 12 Jun 2020 12:33:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41869/hs3d-homo-sapiens-splice-sites-dataset</link>
	<title><![CDATA[HS3D: Homo Sapiens Splice Sites Dataset]]></title>
	<description><![CDATA[<p>HS3D (Homo Sapiens Splice Sites Dataset) is a data set of Homo Sapiens Exon, Intron and Splice regions extracted from GenBank Rel.123. The aim of this data set is to give standardized material to train and to assess the prediction accuracy of computational approaches for gene identification and characterization. From the complete GenBank (Primate Sequences Division) Rel.123 (162,557 entries), entries of Human Nuclear DNA including Complete CDS and more than one Exon have been selected, and 4523 exons and 3802 introns have been extracted from these entries. Details about extracted exons and introns are reported (Locus, number, Start and End position in the entry, sequence, length, G+C content, presence of not AGCT data (nucleotide scan check)). Statistics are also reported (overall nucleotides, average G+C content, nucleotide scan check results, number of not GT starting / AG ending introns, minimum /&nbsp; &nbsp;maximum / average length, length standard deviation) . 3799+3799 donor and acceptor sites, as windows of 140 nucleotides around&nbsp; each splice site have been extracted. After discarding sequences not including canonical GT&ndash;AG junctions (65+74),&nbsp; including insufficient data (not enough material for a 140 nucleotide window) (686+589),&nbsp; including not AGCT bases (29+30), and redundant (218+226) there are 2796+ 2880 windows.&nbsp;</p>
<p>1. P.Pollastro, S.Rampone (2002). HS3D, a Dataset of Homo Sapiens Splice Regions, and its Extraction Procedure from a Major Public Database , International Journal of Modern Physics C, 13(8), 1105-1117. (please cite this paper)</p>
<p>2. P.Pollastro, S.Rampone (2003). HS3D: Homo Sapiens Splice Site Data Set , Nucleic Acids Research, 2003 Annual Database Issue.</p><p>Address of the bookmark: <a href="http://www.sci.unisannio.it/docenti/rampone/" rel="nofollow">http://www.sci.unisannio.it/docenti/rampone/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44791/hibc-human-intestinal-bacteria-collection</guid>
	<pubDate>Wed, 07 May 2025 05:49:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44791/hibc-human-intestinal-bacteria-collection</link>
	<title><![CDATA[HiBC: Human Intestinal Bacteria Collection]]></title>
	<description><![CDATA[<p>The human gut is home to trillions of microorganisms, forming one of the most complex and dynamic microbial ecosystems known to science. The <strong style="font-size: 12.8px;">Human Intestinal Bacteria Collection (HiBC)</strong><span style="font-size: 12.8px; font-weight: normal;"> is a pioneering initiative aimed at cataloging, preserving, and studying the diverse bacterial species that inhabit the human gastrointestinal tract. This curated collection serves as a critical resource for researchers working on microbiome-related health, disease, and therapeutics.</span></p><h2>What is HiBC?</h2><p>The Human Intestinal Bacteria Collection (HiBC) is a comprehensive, high-quality reference repository of bacterial isolates derived from human fecal samples. It focuses on anaerobic and facultative anaerobic bacteria that play pivotal roles in digestion, immune modulation, vitamin synthesis, and pathogen resistance. The collection includes both culturable strains and genomic data from unculturable taxa, bridging the gap between culture-dependent and -independent microbiome studies.</p><h2>Why is HiBC Important?</h2><ol>
<li>
<p><strong>Understanding Microbiome-Host Interactions</strong><br /> HiBC enables deeper insight into the functions of specific bacterial taxa in the gut. With well-characterized isolates, researchers can conduct mechanistic studies to explore how certain bacteria influence metabolism, inflammation, or mental health.</p>
</li>
<li>
<p><strong>Precision Probiotics and Therapeutics</strong><br /> By providing access to native human gut microbes, HiBC supports the development of next-generation probiotics, live biotherapeutic products (LBPs), and fecal microbiota transplantation (FMT) alternatives.</p>
</li>
<li>
<p><strong>Standardization and Reproducibility</strong><br /> With standardized cultivation and genomic protocols, HiBC ensures consistency across microbiome research studies, improving reproducibility and comparability of findings.</p>
</li>
<li>
<p><strong>Antimicrobial Resistance (AMR) Surveillance</strong><br /> HiBC includes metadata on antibiotic resistance genes (ARGs), helping track the spread of AMR in commensal gut bacteria and understanding its implications for human health.</p>
</li>
</ol><h2>Key Features of HiBC</h2><ul>
<li>
<p><strong>Culturable Bacteria Repository:</strong> A living collection of anaerobic and facultative strains isolated from healthy and diseased individuals worldwide.</p>
</li>
<li>
<p><strong>Metadata-rich Entries:</strong> Each isolate is annotated with host details (age, health status, diet), geographical origin, phenotypic traits, and antibiotic susceptibility profiles.</p>
</li>
<li>
<p><strong>Whole Genome Sequencing (WGS):</strong> High-quality genome assemblies for most strains to support functional and comparative genomics.</p>
</li>
<li>
<p><strong>Interactive Database Access:</strong> User-friendly search and filtering options for strain selection based on taxonomy, function, or clinical relevance.</p>
</li>
<li>
<p><strong>Cross-linking with Other Databases:</strong> Integration with NCBI, GOLD, and Human Microbiome Project (HMP) data for broader context and validation.</p>
</li>
</ul><h2>Applications of HiBC</h2><ul>
<li>
<p>Microbiome-based diagnostics and biomarker discovery</p>
</li>
<li>
<p>Host-microbe interaction studies in gnotobiotic mouse models</p>
</li>
<li>
<p>Gut microbiome modulation through diet, drugs, or engineered bacteria</p>
</li>
<li>
<p>Longitudinal studies of gut flora across age, geography, and lifestyle</p>
</li>
<li>
<p>Environmental and evolutionary microbiology of human-associated bacteria</p>
</li>
</ul><h2>Accessing HiBC</h2><p>Researchers and interested parties can explore the HiBC database through its official website: <a href="https://www.hibc.rwth-aachen.de/" target="_new">https://www.hibc.rwth-aachen.de/</a>. The platform offers comprehensive information on bacterial isolates, including taxonomy, cultivation conditions, and genomic data, facilitating advanced research in human gut microbiome studies.</p><h2>Final Thoughts</h2><p>The <strong>HiBC</strong> is a cornerstone resource in the rapidly evolving field of microbiome research. As science moves toward personalized medicine and microbial therapeutics, having a reliable and diverse collection of human gut bacteria is not just useful &mdash; it's essential. Whether you're a microbiologist, clinician, computational biologist, or biotechnologist, HiBC offers tools to accelerate discovery and innovation in gut microbiome science.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41158/carefully-opt-for-human-reference-genome</guid>
	<pubDate>Tue, 18 Feb 2020 07:43:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41158/carefully-opt-for-human-reference-genome</link>
	<title><![CDATA[Carefully opt for human reference genome]]></title>
	<description><![CDATA[<p><a href="http://lh3.github.io/2017/11/13/which-human-reference-genome-to-use" target="_blank">Heng Li posted several issues with the human reference genomes given in these resources</a> and suggests the following compressed FASTA file to be used as hg38/GRCh38 human reference genome.</p>
<p>if you map reads to GRCh38 or hg38, use the following:</p>
<div>
<div>
<pre><code>ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCA/000/001/405/GCA_000001405.15_GRCh38/seqs_for_alignment_pipelines.ucsc_ids/GCA_000001405.15_GRCh38_no_alt_analysis_set.fna.gz
</code></pre>
</div>
</div>
<p>There are several other versions of GRCh37/GRCh38. What&rsquo;s wrong with them? Here are a collection of potential issues:</p>
<p>More at http://lh3.github.io/2017/11/13/which-human-reference-genome-to-use</p><p>Address of the bookmark: <a href="http://lh3.github.io/2017/11/13/which-human-reference-genome-to-use" rel="nofollow">http://lh3.github.io/2017/11/13/which-human-reference-genome-to-use</a></p>]]></description>
	<dc:creator>biogeek</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41144/seqmule-automated-human-exomegenome-variants-detection</guid>
	<pubDate>Tue, 18 Feb 2020 03:22:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41144/seqmule-automated-human-exomegenome-variants-detection</link>
	<title><![CDATA[SeqMule: Automated human exome/genome variants detection]]></title>
	<description><![CDATA[<p>SeqMule takes single-end or paird-end FASTQ or BAM files, generates a script consisting of more than 10 popular alignment, analysis tools and runs the script line by line. Users can change the pipeline or fine-tune the parameters by modifying its configuration file.</p><p>Address of the bookmark: <a href="https://doc-openbio.readthedocs.io/projects/seqmule/en/latest/" rel="nofollow">https://doc-openbio.readthedocs.io/projects/seqmule/en/latest/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/2267/added-video-feature-in-bol</guid>
	<pubDate>Tue, 13 Aug 2013 17:42:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/2267/added-video-feature-in-bol</link>
	<title><![CDATA[Added video feature in BOL]]></title>
	<description><![CDATA[<p>Just in: Added video features in BOL, now you can watch and share your&nbsp;favourite bioinformatics video tutorials.</p><p>Share your favourite video tutorial or lectures on BOL at http://bioinformaticsonline.com/videolist/all . You can also add video in you groups.</p><p>Note: Other than bioinformatics video material/tutorial will be deleted without any prior warning.</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/12883/breaking-chromosomes-to-study-cancer</guid>
	<pubDate>Fri, 18 Jul 2014 05:42:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/12883/breaking-chromosomes-to-study-cancer</link>
	<title><![CDATA[Breaking chromosomes to study cancer !!!]]></title>
	<description><![CDATA[<p>Chromosomes are present in every cell of our body and they contain the information the body needs to develop and function properly. This information is carried in genes that are arranged along the chromosomes. There are usually 46 chromosomes in every cell. These chromosomes come in pairs, one from our mother and one from our father. The chromosomes can be sorted into 23 pairs by looking at them down a microscope.</p><p>Most people who have a balanced translocation have the right amount of chromosome material but it has been rearranged in some way. This may happen if two chromosomes swap pieces (a reciprocal translocation). In other cases two whole chromosomes may become stuck together (a Robertsonian translocation). This page describes what happens when someone has a reciprocal translocation. <br /><br />Reciprocal chromosomal translocations occur following double-strand breaks (DSBs) in DNA when a section of one chromosome is exchanged with that of another, non-homologous chromosome. These exchanges may produce a dysfunctional fusion gene that disrupts cell growth and survival pathways, such as the translocations seen in leukemia and childhood sarcomas. <br /><br />Chromosomal translocations have been well studied in cancer cell lines which are associated with two types of cancer, acute myeloid leukemia and Ewing's sarcoma, but determining how they contribute to cancer development is complicated by additional mutations and altered gene expression profiles in these cultured cells. Now, Juan Carlos Ramirez, head of the Viral Vector Facility at the Fundacion Centro Nacional de Investigaciones Cardiovasculares (CNIC) and his colleagues Raul Torres at CNIC and Sandra Rodriguez-Peralez at the Spanish National Cancer Center (CNIO) in Madrid, Spain have used a new genome editing tool, CRISPR-Cas9, to induce chromosomal translocations for the first time in a human cell line and in primary cells. The study's authors conclude by stating that the use of this technology will allow for the clarification of how and why chromosomal translocation occurs, which without doubt will allow new anti-cancer therapeutic strategies to be tackled.</p><p>Using RNA-Guided Endonuclease (RGEN) technology or CRISPR/Cas9 genome engineering technology, CNIO and CNIC researchers have shown that it is possible to obtain such chromosomal translocations. The CRISPR-Cas9 system is extremely simple to introduce a cut at the desired locus, easier to design, and cheaper than many other systems. Using the CRISPR-Cas9 system, Ramirez and his colleagues reproduced the translocations observed in Ewing&rsquo;s Sarcoma (ES) and Acute Myeloid Leukemia (AML) patient cell lines in HEK293 cells and also generated the ES translocation in human mesenchymal stem cells and the AML translocation in umbilical cord blood cells.</p><p>By focusing on chromosomal translocation without the confounding characteristics of established cell lines, these new cells lines should help answer the fundamental question of what causes a cell to become cancerous. Ramirez and his team now look forward to modeling other chromosome translocations in a variety of cell types.</p><p>Reference:</p><p>http://en.wikipedia.org/wiki/Chromosomal_translocation</p><p>http://www.nature.com/ncomms/2014/140603/ncomms4964/abs/ncomms4964.html<br /><br /></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/17504/postdoc-scientist-bioinformatics-at-ccmb</guid>
  <pubDate>Fri, 26 Sep 2014 19:58:41 -0500</pubDate>
  <link></link>
  <title><![CDATA[PostDoc Scientist Bioinformatics at CCMB]]></title>
  <description><![CDATA[
<p>1. Project Assistant/Junior Research Fellow/ Project Fellow [PA_JRF_PF]</p>

<p>a) M.Sc/or equivalent in biological sciences/related areas [Position Code: PA_JRF_PF_a]<br />b) B.E/B.Tech/ M.Sc in biotechnology/bioinformatics/computer science/Chemistry/Physics or MCA [Position Code: PA_JRF_PF_b]<br />c) M.Sc/or equivalent in wildlife sciences/ecology/environmental sciences or MBBS/BVSc/MVSc. [Position Code: PA_JRF_PF_c]</p>

<p>(Candidates with result awaited are NOT eligible to apply)</p>

<p>Upper Age limit 28years</p>

<p>Rs.12000 / Rs.16000 (as sanctioned by the funding agency)</p>

<p>2. Post Doctoral Fellow/Research Associate in multiple research areas [PDF_RA]</p>

<p>Ph.D. (submitted/awarded) in any branch of biological Sciences. Candidates with Ph.D. in other sciences are also encouraged to apply.</p>

<p>Experience in molecular biology, biochemistry, structural biology, cell biology, infectious disease, conservation genetics, veterinary science, reproductive biology, and molecular diagnostics is desired but not mandatory.</p>

<p>[Position Code: PDF_RA]</p>

<p>UpperAge limit 35years</p>

<p>Rs. 22000- 26000 (as sanctioned by the funding agency)</p>

<p>3. Post Doctoral Scientist Fellow [PDSF]</p>

<p>Ph.D in any of the following areas: bioinformatics, next generation sequencing, high throughput data analysis, proteomics, bio-statistics, computer science, information technology, computer hardware and networking/clustering, parallel processing.<br />[Position Code: PDSF]</p>

<p>Upper Age limit 40 years</p>

<p>Rs. 40000 consolidated (as sanctioned by the funding agency)</p>

<p>Download Application: Last date for apply online: 09th Oct 2014</p>

<p>Advertisement: www.ccmb.res.in//index.php?view=notifications&amp;mid=0&amp;id=71&amp;nid=38</p>

<p>Apply online http://www.ccmb.res.in/positions/temp_notif/online_form.html</p>

<p>More at http://www.ccmb.res.in//index.php?view=notifications&amp;mid=0&amp;id=71&amp;nid=38</p>
]]></description>
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