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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/9586?offset=90</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4656/pandey-lab</guid>
  <pubDate>Fri, 20 Sep 2013 13:19:18 -0500</pubDate>
  <link></link>
  <title><![CDATA[Pandey Lab]]></title>
  <description><![CDATA[
<p>The Pandey Lab at Johns Hopkins University is a Systems Biology lab that combines molecular biology, analytical chemistry and computational biology with various "Omics" technologies including genomics and proteomics to understand signaling pathways and to identify therapeutic targets and biomarkers in a number of cancers.</p>

<p>More at http://pandeylab.igm.jhmi.edu/</p>

<p>http://scholar.google.com/citations?user=OhuG0FcAAAAJ&amp;hl=en</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43292/bioinformatics-scientist-production-bioinformatics-south-san-francisco-ca</guid>
  <pubDate>Thu, 19 Aug 2021 08:45:24 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Scientist, Production Bioinformatics @ South San Francisco, CA]]></title>
  <description><![CDATA[
<p>wist is looking for a Bioinformatics Scientist to join our Production Bioinformatics Team. You will work alongside research scientists, software engineers and data scientists to further deliver on our mission to expand access to best-in-class synthetic biology and next-generation sequencing applications. You will be developing and engineering tools to better evaluate and build hardened, production quality pipelines, optimize data quality, and automate lab and bioinformatics processes. Our ideal candidate is an organized problem solver with a background in developing and building novel production-quality bioinformatics tools and packages. Equally excellent communication skills and a proven ability to work independently are required.</p>

<p>More at https://boards.greenhouse.io/twistbioscience/jobs/3135495?gh_src=9ecc0b941us</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43559/job-offer-for-a-postdoctoral-researcher-in-genomics-bioinformatics-2-years</guid>
  <pubDate>Fri, 22 Oct 2021 04:44:33 -0500</pubDate>
  <link></link>
  <title><![CDATA[Job offer for a postdoctoral researcher in genomics / bioinformatics (2 years)]]></title>
  <description><![CDATA[
<p>Ongoing research in the group of Karine Van Doninck involves topics at the core of<br />evolutionary biology, including the evolution of sex, genome maintenance,<br />recombination and extreme stress resistance on different eukaryotic systems,<br />including rotifers, amoeba and Corbicula clams. We are employing different tools<br />(including experimental ecology, population genetics, phylogeny, comparative<br />genomics, transcriptomics, bioinformatics, molecular and cellular biology) to study<br />evolutionary processes at the level of populations, both experimental and natural, and<br />genomes.</p>

<p>Offer<br />We offer a full-time contract for two years. The contract starts between October 2021<br />and December 2021. The position involves no or extremely light teaching load, if the<br />candidate is interested. Salaries are competitive at the European level. The recruited<br />person will benefit from the Belgian social insurance scheme (health care, etc.) without<br />additional expenses.</p>

<p>Profile<br />Applicants are expected to show outstanding commitment to research and must have<br />obtained a PhD by the start of the position. A strong expertise in genomics is required.<br />More specifically, solid competences in bioinformatics (e.g. scripting pipelines) and in<br />genome evolution are needed. Knowledge or interest regarding recombination,<br />metazoan evolution, phylogenomics and population genomics is an added-value.</p>

<p>Application<br />Applications should be submitted via email to karine.van.doninck@ulb.be. The<br />application package should contain the following documents:<br />- A curriculum vitae with the complete list of publications<br />- A cover letter mentioning why the candidate is interested in the position<br />- Minimum 2 recommendation letters<br />Interviews: Interviews will be conducted with the selected candidates. Selected<br />candidates could also be invited to give a seminar to MBE ULB.<br />For any additional information, please contact karine.van.doninck@ulb.be</p>
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	<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/videolist/watch/4959/evolution-and-cancer</guid>
	<pubDate>Fri, 27 Sep 2013 11:28:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4959/evolution-and-cancer</link>
	<title><![CDATA[Evolution and Cancer]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/j3uKOcNwYBw" frameborder="0" allowfullscreen></iframe>Air date:  Wednesday, January 04, 2012, 3:00:00 PM
Time displayed is Eastern Time, Washington DC Local  
 
Category:  Wednesday Afternoon Lectures  
Description:  There is a broad consensus that cancer is the result of somatic cells having serially gained, by a series of mutations, the ability to grow independently, to recruit resources from the circulation and the stroma, to invade local tissues, and to found anatomically distant metastases, ultimately killing the host. From the point of view of the cancer-causing somatic cell population, this is evolution driven by mutation and selection. Genomics has resulted in a parallel consensus that the central functions of all eukaryotes are highly conserved, not only at the level of individual protein functions, but also complex biological pathways and systems. These ideas motivated a comparison between results of molecular genetic studies of experimental evolution in yeast and the molecular genetic phenomena associated with tumorigenesis and tumor progression. We find some very striking similarities, including recurring genomic rearrangements, alterations of the regulation of specific growth-promoting genes, population-genetic features that affect the fitness trajectories of growth rate variants in evolving populations, and physiological and metabolic similarities derived from the conservation of the basic plan of growth and cell multiplication among all eukaryotes. It is hoped that some of the insights from yeast will aid the interpretation of sequence changes found in tumors, especially in the urgent necessity to distinguish 'driver' from 'passenger' mutations." 

David Botstein's fundamental contributions to modern genetics include the development of genetic methods for understanding biological functions and the discovery of the functions of many yeast and bacterial genes. In 1980, Botstein and three colleagues proposed a method for mapping human genes that laid the groundwork for the Human Genome Project. The basic principle of the mapping scheme was to develop, by recombinant DNA techniques, random single-copy DNA probes capable of detecting DNA sequence polymorphisms when hybridized to restriction digests, or specific fragments, of an individual's DNA. The method was used in subsequent years to identify several human disease genes, such as Huntington's and BRCA1. Variations of this method enabled the sequencing phase of the Human Genome Project. 

In the 1990s Botstein, having moved to Stanford University School of Medicine, collaborated with Patrick O. Brown of Stanford in exploiting DNA microarrays to study genome-wide gene expression patterns in yeast and in human cancers. This required developing a new statistical method and graphical interface, widely used today to interpret genomic data. Botstein also has helped to create, with Michael Ashburner and Gerald Rubin, a bioinformatics initiative to unify the representation of gene and gene product attributes across all species, called Gene Ontology. He graduated from Harvard College and earned his doctorate from the University of Michigan. He worked at Massachusetts Institute of Technology from 1967 to 1988; served as vice president for science at Genentech from 1988 to 1990; chaired the Department of Genetics at the Stanford University School of Medicine from 1990 to 2003; and joined the Princeton University faculty in 2003. He has sat on numerous editorial boards and was the founding editor of Molecular Biology of the Cell. Among recent major awards, Bostein won the Peter Gruber Foundation Prize in Genetics in 2003, the Apple Science Innovator Award in 2008, and the Albany Medical Center Prize in 2010. 

The NIH Wednesday Afternoon Lecture Series includes weekly scientific talks by some of the top researchers in the biomedical sciences worldwide. 

For more information, visit: The NIH Director's Wednesday Afternoon Lecture Series  
Author:  Dr. David Botstein, Princeton University  
Runtime:  00:59:58  

Permanent link:  http://videocast.nih.gov/launch.asp?17046]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/5623/yau-group</guid>
  <pubDate>Tue, 15 Oct 2013 13:05:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Yau Group]]></title>
  <description><![CDATA[
<p>Yau Group are a new research group based at the Wellcome Trust Centre for Human Genetics and the Department of Statistics at the University of Oxford.</p>

<p>Yau Group develops statistical and computational methods for the analysis of genomic datasets with a particular interest in cancer sequencing applications and the use of Bayesian Statistics.</p>

<p>Yau Group are currently have projects in somatic mutation analysis of heterogeneous cancers, data fusion or integration techniques and single cell genomics.</p>

<p>More @ http://www.well.ox.ac.uk/~cyau/index.html</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6561/mathomics-lab</guid>
  <pubDate>Tue, 19 Nov 2013 18:17:32 -0600</pubDate>
  <link></link>
  <title><![CDATA[MATHomics Lab]]></title>
  <description><![CDATA[
<p>Mathomics is a collaborative research group of the Center for Mathematical Modeling and the Center for Genome Regulation at University of Chile, created to play a central role in the development of biotechnological projects, providing state of the art bioinformatics and mathematical modeling tools,  allowing to face these problems from the point of view of Systems Biology. </p>

<p>Lab page @ http://www.mathomics.cl/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/7816/boku-lab</guid>
  <pubDate>Wed, 08 Jan 2014 19:33:12 -0600</pubDate>
  <link></link>
  <title><![CDATA[BOKU Lab]]></title>
  <description><![CDATA[
<p>We are interested in the study of complex systems in living organisms. Novel views augmenting the classical gene by gene approaches are required to overcome the engineered redundancies and combinatorial effects prevalent in higher eukaryotes. We therefore combine work to establish improved quantitative experimental assays, such as microarrays or differential in-gel electrophoresis, and development of modern computational methods, such as hierarchical probabilistic models or integration of heterogeneous data sources, focussed by biological studies in our laboratory and collaborations.</p>

<p>Highlights of our research include:</p>

<p>    Optimization of microarray design, probe signal interpretation <br />    Advanced models and tools for expression profiling<br />    State-of-the-art applications and integrated analyses </p>

<p>Lab page @ http://bioinf.boku.ac.at/</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/3031/following-the-scientific-literature-a-personal-practical-guide-for-young-computational-biologists</guid>
	<pubDate>Fri, 23 Aug 2013 07:18:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/3031/following-the-scientific-literature-a-personal-practical-guide-for-young-computational-biologists</link>
	<title><![CDATA[Following the scientific literature: A personal practical guide for young computational biologists]]></title>
	<description><![CDATA[<p><span>The goal of this guide is to describe&nbsp;</span><strong>why</strong><span>,&nbsp;</span><strong>when</strong><span>,&nbsp;</span><strong>where</strong><span>&nbsp;and&nbsp;</span><strong>how</strong><span>&nbsp;can you follow the most up-to-date science of interest and&nbsp;</span><strong>what</strong><span>&nbsp;papers/journals you should follow. The guide is biased towards the fields of genomics/systems biology.(from article)</span></p>
<p><span>Source:&nbsp;<strong><span>&nbsp;<a href="http://www.cs.tau.ac.il/~ulitskyi/">Igor Ulitsky</a>&nbsp;&amp;&nbsp;<a href="http://www.cs.tau.ac.il/~rshamir/">Ron Shamir</a></span></strong></span></p><p>Address of the bookmark: <a href="http://acgt.cs.tau.ac.il/guides/LiteratureGuide.htm" rel="nofollow">http://acgt.cs.tau.ac.il/guides/LiteratureGuide.htm</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4591/the-breitbart-lab</guid>
  <pubDate>Tue, 17 Sep 2013 18:19:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[The Breitbart lab]]></title>
  <description><![CDATA[
<p>Breitbart’s lab has created a new branch of biology called metagenomics in which one can sample and sequence genetic material collected from the environment.</p>

<p>Breitbart lab is located in the College of Marine Science at the University of South Florida. She is chosen as top "10 Brilliant" scientist by Popular Science magazine.<br />http://www.popsci.com/science/article/2013-09/mya-breitbart</p>

<p>Lab Link:<br />https://sites.google.com/site/breitbartgenomicslab/<br />http://www.marine.usf.edu/faculty/mya-breitbart.shtml</p>
]]></description>
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