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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/42794?offset=70</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44525/synorth-exploring-the-evolution-of-synteny-and-long-range-regulatory-interactions-in-vertebrate-genomes</guid>
	<pubDate>Mon, 06 May 2024 06:21:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44525/synorth-exploring-the-evolution-of-synteny-and-long-range-regulatory-interactions-in-vertebrate-genomes</link>
	<title><![CDATA[Synorth: exploring the evolution of synteny and long-range regulatory interactions in vertebrate genomes]]></title>
	<description><![CDATA[<p><span>Genomic regulatory blocks are chromosomal regions spanned by long clusters of highly conserved noncoding elements devoted to long-range regulation of developmental genes, often immobilizing other, unrelated genes into long-lasting syntenic arrangements. Synorth&nbsp;</span><a href="http://synorth.genereg.net/" target="_blank">http://synorth.genereg.net/</a><span>&nbsp;is a web resource for exploring and categorizing the syntenic relationships in genomic regulatory blocks across multiple genomes, tracing their evolutionary fate after teleost whole genome duplication at the level of genomic regulatory block loci, individual genes, and their phylogenetic context.</span></p>
<p><span>More at&nbsp;https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745767/</span></p><p>Address of the bookmark: <a href="http://synorth.genereg.net/" rel="nofollow">http://synorth.genereg.net/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30698/itol-interactive-tree-of-life</guid>
	<pubDate>Tue, 31 Jan 2017 05:56:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30698/itol-interactive-tree-of-life</link>
	<title><![CDATA[iTOL: interactive Tree Of Life]]></title>
	<description><![CDATA[<p><strong>Interactive Tree Of Life</strong><span>&nbsp;is an online tool for the display and manipulation of phylogenetic trees. It provides most of the features available in other tree viewers, and offers a novel circular tree layout, which makes it easy to visualize mid-sized tree (up to several thousand leaves). Trees can be exported to several graphical formats, both bitmap and vector based.</span></p>
<p><img src="http://itol.embl.de/img/home/ex3.png" alt="image" style="border: 0px;"><br><span>There are several pre-computed trees available for display, including the main Tree Of Life, described in&nbsp;</span><a href="http://www.ncbi.nlm.nih.gov/pubmed/16513982">Ciccarelli, et al., 2006</a><span>. In addition to the precomputed trees, users can upload and display personal trees and data, using the 'Data upload' page or through a personal user account.</span></p><p>Address of the bookmark: <a href="http://itol.embl.de/" rel="nofollow">http://itol.embl.de/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35907/alienness-rapid-detection-of-candidate-horizontal-gene-transfers-across-the-tree-of-life</guid>
	<pubDate>Mon, 12 Mar 2018 09:24:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35907/alienness-rapid-detection-of-candidate-horizontal-gene-transfers-across-the-tree-of-life</link>
	<title><![CDATA[alienness : Rapid Detection of Candidate Horizontal Gene Transfers across the Tree of Life]]></title>
	<description><![CDATA[<p><span>Horizontal gene transfer (HGT) is the transmission of genes between organisms by other means than parental to offspring inheritance. While it is prevalent in prokaryotes, HGT is less frequent in eukaryotes and particularly in Metazoa. Here, we propose Alienness, a taxonomy-aware web application available at&nbsp;</span>http://alienness.sophia.inra.fr</p>
<p>http://www.mdpi.com/2073-4425/8/10/248</p><p>Address of the bookmark: <a href="http://alienness.sophia.inra.fr/cgi/index.cgi" rel="nofollow">http://alienness.sophia.inra.fr/cgi/index.cgi</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43548/upgma-worked-example</guid>
	<pubDate>Wed, 13 Oct 2021 06:13:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43548/upgma-worked-example</link>
	<title><![CDATA[UPGMA Worked Example]]></title>
	<description><![CDATA[<p><span>The tabs below include a walkthrough of clustering 7 biological sequences (A-G) using the Unweighted Pair-Group Method with Arithmetic mean (UPGMA) method. Note that UPGMA is actually a generic method and thus the walkthrough could apply to any objects A-G for which pairwise distances can be calculated. A small CGI site for generating a UPGMA tree from a distance matrix can be found&nbsp;</span><a href="http://bioware.soton.ac.uk/upgma.html">here</a><span>.</span></p><p>Address of the bookmark: <a href="http://www.slimsuite.unsw.edu.au/teaching/upgma/" rel="nofollow">http://www.slimsuite.unsw.edu.au/teaching/upgma/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38055/ancestral-genomes-a-resource-for-reconstructed-ancestral-genes-and-genomes-across-the-tree-of-life</guid>
	<pubDate>Fri, 02 Nov 2018 08:16:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38055/ancestral-genomes-a-resource-for-reconstructed-ancestral-genes-and-genomes-across-the-tree-of-life</link>
	<title><![CDATA[Ancestral Genomes: a resource for reconstructed ancestral genes and genomes across the tree of life]]></title>
	<description><![CDATA[<p><span>&nbsp;Ancestral Genomes (</span><a href="http://ancestralgenomes.org/" target="">http://ancestralgenomes.org</a><span>) is a resource for comprehensive reconstructions of these &lsquo;fossil genomes&rsquo;. Comprehensive sets of protein-coding genes have been reconstructed for 78 genomes of now-extinct species that were the common ancestors of extant species from across the tree of life.&nbsp;</span></p><p>Address of the bookmark: <a href="http://ancestralgenomes.org/" rel="nofollow">http://ancestralgenomes.org/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43916/understanding-dump-files-from-ncbi-taxonomy-database</guid>
	<pubDate>Fri, 15 Jul 2022 04:29:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43916/understanding-dump-files-from-ncbi-taxonomy-database</link>
	<title><![CDATA[Understanding DUMP files from NCBI Taxonomy database !]]></title>
	<description><![CDATA[<p>*.dmp files are bcp-like dump from GenBank taxonomy database</p><p>General information.</p><p>Field terminator is "\t|\t"</p><p>Row terminator is "\t|\n"</p><p>&nbsp;</p><p>nodes.dmp file consists of taxonomy nodes. The description for each node includes the following</p><p>fields:</p><p>tax_id -- node id in GenBank taxonomy database</p><p>&nbsp; parent tax_id -- parent node id in GenBank taxonomy database</p><p>&nbsp; rank -- rank of this node (superkingdom, kingdom, ...)&nbsp;</p><p>&nbsp; embl code -- locus-name prefix; not unique</p><p>&nbsp; division id -- see division.dmp file</p><p>&nbsp; inherited div flag&nbsp; (1 or 0) -- 1 if node inherits division from parent</p><p>&nbsp; genetic code id -- see gencode.dmp file</p><p>&nbsp; inherited GC&nbsp; flag&nbsp; (1 or 0) -- 1 if node inherits genetic code from parent</p><p>&nbsp; mitochondrial genetic code id -- see gencode.dmp file</p><p>&nbsp; inherited MGC flag&nbsp; (1 or 0) -- 1 if node inherits mitochondrial gencode from parent</p><p>&nbsp; GenBank hidden flag (1 or 0)&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -- 1 if name is suppressed in GenBank entry lineage</p><p>&nbsp; hidden subtree root flag (1 or 0) &nbsp; &nbsp; &nbsp; -- 1 if this subtree has no sequence data yet</p><p>&nbsp; comments -- free-text comments and citations</p><p>&nbsp;</p><p>Taxonomy names file (names.dmp):</p><p>tax_id -- the id of node associated with this name</p><p>name_txt -- name itself</p><p>unique name -- the unique variant of this name if name not unique</p><p>name class -- (synonym, common name, ...)</p><p>&nbsp;</p><p>Divisions file (division.dmp):</p><p>division id -- taxonomy database division id</p><p>division cde -- GenBank division code (three characters)</p><p>division name -- e.g. BCT, PLN, VRT, MAM, PRI...</p><p>comments</p><p>&nbsp;</p><p>Genetic codes file (gencode.dmp):</p><p>genetic code id -- GenBank genetic code id</p><p>abbreviation -- genetic code name abbreviation</p><p>name -- genetic code name</p><p>cde -- translation table for this genetic code</p><p>starts -- start codons for this genetic code</p><p>&nbsp;</p><p>Deleted nodes file (delnodes.dmp):</p><p>tax_id -- deleted node id</p><p>&nbsp;</p><p>Merged nodes file (merged.dmp):</p><p>old_tax_id&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -- id of nodes which has been merged</p><p>new_tax_id&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -- id of nodes which is result of merging</p><p>Citations file (citations.dmp):</p><p>cit_id -- the unique id of citation</p><p>cit_key -- citation key</p><p>pubmed_id -- unique id in PubMed database (0 if not in PubMed)</p><p>medline_id -- unique id in MedLine database (0 if not in MedLine)</p><p>url -- URL associated with citation</p><p>text -- any text (usually article name and authors).</p><p>-- The following characters are escaped in this text by a backslash:</p><p>-- newline (appear as "\n"),</p><p>-- tab character ("\t"),</p><p>-- double quotes ('\"'),</p><p>-- backslash character ("\\").</p><p>taxid_list -- list of node ids separated by a single space</p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/42958/claus-peter-stelzer-lab</guid>
  <pubDate>Mon, 15 Mar 2021 15:24:41 -0500</pubDate>
  <link></link>
  <title><![CDATA[Claus-Peter Stelzer Lab]]></title>
  <description><![CDATA[
<p>Interested in various topics at the intersection of ecology and evolution. In my research I use rotifers as model organisms for experimental studies at the individual and population level. Rotifers are ideally suited for this, because populations of thousands can be kept in small containers in the lab, while single individuals can still be handled conveniently. </p>

<p>More at https://www.uibk.ac.at/limno/personnel/stelzer/index.html.en#research</p>
]]></description>
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<item>
	<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>
	
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/7568/oldest-hominin-dna-sequenced</guid>
	<pubDate>Fri, 27 Dec 2013 19:58:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/7568/oldest-hominin-dna-sequenced</link>
	<title><![CDATA[Oldest Hominin DNA Sequenced]]></title>
	<description><![CDATA[<p>Matthias Meyer and his team from the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, have developed new techniques for retrieving and sequencing highly degraded ancient DNA. They then joined forces with Juan-Luis Arsuaga and applied the new techniques to a cave bear from the Sima de los Huesos site. After this success, the researchers sampled two grams of bone powder from a hominin thigh bone from the cave. They extracted its DNA and sequenced the genome of the mitochondria or mtDNA, a small part of the genome that is passed down along the maternal line and occurs in many copies per cell. The researchers then compared this ancient mitochondrial DNA with Neandertals, Denisovans, present-day humans, and apes.<br /><br />From the missing mutations in the old DNA sequences the researchers calculated that the Sima hominin lived about 400,000 years ago. They also found that it shared a common ancestor with the Denisovans, an extinct archaic group from Asia related to the Neandertals, about 700,000 years ago. "The fact that the mtDNA of the Sima de los Huesos hominin shares a common ancestor with Denisovan rather than Neandertal mtDNAs is unexpected since its skeletal remains carry Neandertal-derived features," says Matthias Meyer. Considering their age and Neandertal-like features, the Sima hominins were likely related to the population ancestral to both Neandertals and Denisovans. Another possibility is that gene flow from yet another group of hominins brought the Denisova-like mtDNA into the Sima hominins or their ancestors.<br /><br /></p><p>Reference</p><p>http://www.sciencedaily.com/releases/2013/12/131204132018.htm</p>]]></description>
	<dc:creator>Surajeet</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/12868/landry-lab</guid>
  <pubDate>Thu, 17 Jul 2014 14:33:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Landry Lab]]></title>
  <description><![CDATA[
<p>EVOLUTIONARY AND INTEGRATIVE CELL BIOLOGY</p>

<p>Our research is at the crossroad between cell biology, ecological genomics, systems biology, molecular evolution and population genetics. We study the architecture and evolution of protein and signalling networks.</p>

<p>More at http://landrylab.ibis.ulaval.ca/</p>
]]></description>
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