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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/1173?offset=40</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/40881/liu-lab</guid>
  <pubDate>Tue, 04 Feb 2020 06:27:02 -0600</pubDate>
  <link></link>
  <title><![CDATA[Liu Lab]]></title>
  <description><![CDATA[
<p>Shirley is a computational biologist with expertise in cancer epigenetics. Her research focuses on algorithm development and integrative mining from big data generated on microarrays, massively parallel sequencing, and other high throughput techniques to model the specificity and function of transcription factors, chromatin regulators and lncRNAs in tumor development, progression, drug response and resistance.</p>

<p>https://liulab-dfci.github.io/software/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/860/the-centre-for-bioinformatics-mcb-lab</guid>
  <pubDate>Sun, 14 Jul 2013 12:41:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[The Centre for Bioinformatics (MCB) Lab]]></title>
  <description><![CDATA[
<p>The Centre for Bioinformatics (MCB) is a diverse collection of professors, postdoctoral fellows, and students, who share a common interest in Bioinformatics.</p>

<p>Research Area</p>

<p>We are interested in the development of the statistics and computational methods for the analysis of this data in breast cancer.<br />We have worked on probabilistic models for subcellular localization, protein-protein interactions, and problems related to chemical genomics.<br />We are interested in the development of bioinformatics/biostatistical methodology in the analysis of epigenetic/epigenomic data.<br />We are interested in integrative bioinformatics approaches to learn the gene, gene products, interactions, and regulatory mechanisms involved in mental retardation.</p>

<p>Link @ http://www.mcgill.ca/mcb/</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/2423/cancers-origins-revealed</guid>
	<pubDate>Thu, 15 Aug 2013 13:06:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/2423/cancers-origins-revealed</link>
	<title><![CDATA[Cancer's origins revealed]]></title>
	<description><![CDATA[<p>Researchers have provided the first comprehensive compendium of mutational processes that drive tumour development. Together, these mutational processes explain most mutations found in 30 of the most common cancer types. This new understanding of cancer development could help to treat and prevent a wide-range of cancers.<br /><br />More at &gt;&gt; http://www.sanger.ac.uk/about/press/2013/130814.html</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4657/giovanni-parmigiani-lab</guid>
  <pubDate>Fri, 20 Sep 2013 13:21:41 -0500</pubDate>
  <link></link>
  <title><![CDATA[Giovanni Parmigiani Lab]]></title>
  <description><![CDATA[
<p>Scientific Interests:</p>

<p>Models and software for predicting who is at risk of carrying genetic variants that confer susceptibility to cancer. Application to breast, ovarian, colorectal, pancreatic and skin cancer.</p>

<p>Statistical methods for the analysis of high throughput genomic data: analysis of cancer genome sequencing projects; integration of genomic information across technologies; cross-study validation of genomics results.</p>

<p>Statistical methods for comparative effectiveness research: comprehensive models for lifetime history of chronic disease outcomes; Bayesian meta-analysis; Bayesian causal inference; decision analysis.</p>

<p>Bayesian modeling and computation: multilevel models; decision theoretic approaches to inference; sequential experimental design and their application to adaptive and multistage studies in clinical and epidemiological research.</p>

<p>http://bcb.dfci.harvard.edu/~gp/index.html</p>

<p>http://scholar.google.com/citations?user=OlpYP3UAAAAJ&amp;hl=en</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>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/5747/dbbrowser-attwood-lab</guid>
  <pubDate>Fri, 18 Oct 2013 10:48:19 -0500</pubDate>
  <link></link>
  <title><![CDATA[DbBrowser: Attwood Lab]]></title>
  <description><![CDATA[
<p>DbBrowser: Attwood Lab research concerns protein sequence analysis, primarily using the method of protein 'fingerprinting'. DbBrowser: Attwood Lab maintain a diagnostic fingerprint database (PRINTS), one of the founding partner of InterPro. We also design software to display sequence and structural data in visually-striking ways (e.g., Ambrosia, CINEMA); DbBrowser: Attwood Lab are building re-usable software components to create semantically integrated bioinformatics applications through UTOPIA, including a 'smart' PDF reader that links bioinformatics databases and tools directly with scientific articles (Utopia Documents); and have developed a number of tools for automatic annotation and text mining (e.g., MINOTAUR, PRECIS, METIS). </p>

<p>More @ http://www.bioinf.manchester.ac.uk/dbbrowser/index.php</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/7989/cancers-cure-is-on-the-way</guid>
	<pubDate>Wed, 22 Jan 2014 12:00:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/7989/cancers-cure-is-on-the-way</link>
	<title><![CDATA[Cancers cure is on the way !!!]]></title>
	<description><![CDATA[<p>The study on blind mole rat (Spalax) was carried out by researchers from the University of Haifa, Israel, and published in the peer-reviewed scientific journal BMC Biology.</p><p>The blind mole rat (Spalax) is an intriguing creature worthy of study. This was animal research examining the resistance subterranean blind mole rats (Spalax) have to cancers. Blind mole rats are one of a unique group of animals that spend their lives underground, are tolerant of very low oxygen levels (down to only 3% concentration &ndash; levels that would kill a human), have a long lifespan of more than 20 years, which is exceptional for a small rodent, and show no clear signs of ageing or age-related diseases.</p><p>This research has demonstrated the unique abilities of the blind mole rat to resist cancer, even when directly given potent cancer-causing chemicals. In this study researchers gave blind mole rats potent cancer-causing chemicals either through injections or applied directly to the skin, but the animals didn't develop cancer.<br /><br />Remarkably, connective tissue cells (fibroblasts) taken from the blind mole rat even prevented the growth of human cancer cells when they were grown together in the laboratory.<br /><br />In the laboratory, the researchers also demonstrated how connective tissue cells called fibroblasts taken from the animal seem to play an important role in this cancer resistance. These cells prevented the growth of human cancer cells when the two types of cells were grown together in the laboratory.<br /><br />The researchers concluded that, "This report provides pioneering evidence that Spalax [the blind mole rat] is not only resistant to spontaneous cancer, but also to experimentally induced cancer, and shows the unique ability of Spalax fibroblasts to inhibit growth and kill cancer cells, but not normal cells, either through direct fibroblast-cancer cell interaction or via soluble factors."</p><p>Nonetheless, there remains optimism that understanding the anti-cancer mechanisms of mole rats may one day help inform further cancer treatments for humans, but a lot more research &ndash; and probably a significant amount of time &ndash; is needed before this can be considered.</p><p><img src="http://i.telegraph.co.uk/multimedia/archive/02599/naked-mole-rat_2599114b.jpg" alt="image" width="620" height="387" style="border: 0px; border: 0px;"></p><p>Reference:</p><p>Image: telegraph.co.uk</p><p>http://www.biomedcentral.com/1741-7007/11/91</p><p>Manov, Irena, et al. "Pronounced cancer resistance in a subterranean rodent, the blind mole-rat, Spalax: in vivo and in vitro evidence." BMC biology 11.1 (2013): 91.</p><p>http://www.nhs.uk/news/2014/01January/Pages/Claims-of-a-universal-cure-for-cancer-misleading.aspx</p><p>http://www.express.co.uk/news/health/454188/EXCLUSIVE-Cure-for-ALL-cancers-is-on-the-way-as-scientists-discover-major-breakthrough</p><p>http://www.dailymail.co.uk/health/article-2540321/Could-mole-rats-hold-key-cure-cancer-Scientists-hail-potentially-life-changing-breakthrough.html</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/24264/cancer-research-database</guid>
	<pubDate>Tue, 01 Sep 2015 17:36:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/24264/cancer-research-database</link>
	<title><![CDATA[Cancer research database]]></title>
	<description><![CDATA[<p>Researchers in Andhra Pradesh have developed a database to identify genes that are common in tumours to provide their colleagues with easy access to insights into the genetic alterations in cancer.<br /> &nbsp;<br /> The database, hosted at the Sri Venkateswara University (SVU) in Tirupati, will integrate information on cancer genes and markers with experimental data.<br /> &nbsp;<br /> The <a href="http://cgmd.in/" target="_blank">Cancer Gene Markers Database</a> (CGMD) is meant to help scientists better understand tumour genes and markers at a molecular level by combining data with literature on treatment regimen and recent advances in cancer therapy.<br /> <br /> The database is free to access, and already includes 309 genes and 206 markers that correspond to 40 different human cancers. Accompanying literature comes from databases such as the United States&rsquo; <a href="http://www.ncbi.nlm.nih.gov/" target="_blank">National Center for Biotechnology Information</a> and the <a href="http://www.genome.jp/kegg/" target="_blank">Kyoto Encyclopedia of Genes and Genomes</a>. It also includes experimental data from <a href="http://www.ncbi.nlm.nih.gov/pubmed" target="_blank">PubMed</a>.<br /> <br /> In a paper <a href="http://dx.doi.org/10.1038/srep12035" target="_blank">published</a> last month in <em>Nature Scientific Reports</em>, the researchers from SVU&rsquo;s department of animal biotechnology, describes the need for a database for different genes and markers along with their molecular characteristics and pathway associations.</p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26309/ratt</guid>
	<pubDate>Sun, 07 Feb 2016 16:09:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26309/ratt</link>
	<title><![CDATA[RATT]]></title>
	<description><![CDATA[<p><strong>RATT</strong> is software to transfer annotation from a reference (annotated) genome to an unannotated query genome.</p>
<p>It was first developed to transfer annotations between different genome assembly versions. However, it can also transfer annotations between strains and even different species, like <em>Plasmodium chabaudi</em> onto <em> P. berghei</em>, between different Leishmania species or <em>Salmonella enterica</em> onto other Salmonella serotypes. <strong>RATT</strong> is able to transfer any entries present on a reference sequence, such as the systematic id or an annotator's notes; such information would be lost in a <em>de novo</em> annotation.</p>
<p>More at http://ratt.sourceforge.net/</p><p>Address of the bookmark: <a href="http://ratt.sourceforge.net/" rel="nofollow">http://ratt.sourceforge.net/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/38418/charles-swanton-lab</guid>
  <pubDate>Tue, 11 Dec 2018 08:09:22 -0600</pubDate>
  <link></link>
  <title><![CDATA[CHARLES SWANTON LAB]]></title>
  <description><![CDATA[
<p>They are using the latest DNA sequencing technology to read the genetic makeup of cancer cells within tumours in ever greater detail, teasing out patterns of evolution (evolutionary rule books), cancer heterogeneity and working out what changes have happened as a tumour evolves. We’re also investigating the processes that cause mutations and accelerate tumour evolution and working out how they might be stopped. And we are running evolutionary clinical trials with immune and targeted therapies to bring the benefits of our work to patients as quickly as possible.</p>

<p>https://www.crick.ac.uk/research/labs/charles-swanton</p>
]]></description>
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