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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/20585?offset=880</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4155/genetics-for-fun-and-profit-andrew-hessel-at-tedxvilnius</guid>
	<pubDate>Sun, 01 Sep 2013 19:15:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4155/genetics-for-fun-and-profit-andrew-hessel-at-tedxvilnius</link>
	<title><![CDATA[Genetics for Fun and Profit: Andrew Hessel at TEDxVilnius]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/A2h_JW7X_HE" frameborder="0" allowfullscreen></iframe>Andrew Hessel co-chairs the Bioinformatics and Biotechnology track at the Singularity University, an institution founded by futurist Ray Kurzweil and X Prize Foundation CEO Peter Diamandis, with sponsorship from world-leading organizations that include Google, Autodesk, and NASA. He is also the founder of the Pink Army Cooperative, a venture aiming to make open source personalized cancer therapies. His work has been featured in The New York Times, Futurist Magazine, H+, and Wired News.

In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42809/bioinformatics-in-africa-part2-kenya</guid>
	<pubDate>Sat, 06 Feb 2021 13:23:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42809/bioinformatics-in-africa-part2-kenya</link>
	<title><![CDATA[Bioinformatics in Africa: Part2 - Kenya]]></title>
	<description><![CDATA[<p>International Livestock Research Institute (ILRI):</p><p>Under&nbsp; &nbsp;a&nbsp; &nbsp;NEPAD&nbsp; &nbsp;initiative,&nbsp; &nbsp;the&nbsp; &nbsp;Biosciences&nbsp; &nbsp;Eastern&nbsp; &nbsp;and&nbsp; &nbsp;Central&nbsp; &nbsp;Africa&nbsp; &nbsp;(BECA)&nbsp; (www.biosciencesafrica.org) was established at ILRI. BECA consists of a hub, regional nodes, and&nbsp; other affiliated laboratories and partner institutes. A state of the art joint Bioinformatics Platform&nbsp; (www.becabioinfo.org), whose overall goal is to provide a coherent and powerful bioinformatics&nbsp; infrastructure for use by all scientists in East and central Africa. The Platform goal requires both&nbsp; physical and intellectual developments that together provide researchers with access to diverse&nbsp; infrastructure in a wide&shy;area network, thereby addressing four important aspects of bioinformatics:&nbsp;</p><p>1) Science: bioinformatics tools for data integration and visualization, standardization of data&nbsp; formats and data analysis strategies, and distribution of analysis tasks over local&shy; and widearea networks are in development;&nbsp;</p><p>2)&nbsp; Bioinformatics Support Facility: provides assistance and custom programming to projects&nbsp; and those unable to establish a bioinformatics support function intrinsic to their project due&nbsp; to shortage of qualified personnel or lack of funding;&nbsp;</p><p>3) Hardware Platform: provide a powerful high performance computing platform capable of&nbsp; handling the largest analysis needs for projects;&nbsp;</p><p>4) Bioinformatics Training for East and central African scientists: While many Web&shy;based&nbsp; tools are available to the wet&shy;lab researcher, the Web is not well suited for tasks beyond&nbsp; single&shy;sequence annotation. Researchers need to become productive in a server&shy;based Unix&nbsp; environment with its wealth of scripting and automation tools. Even at an entry&shy;level, this&nbsp; can be an intimidating task if proper guidance is not available.</p><p>International&nbsp;Centre&nbsp;of&nbsp;Insect&nbsp;Physiology&nbsp;and&nbsp;Ecology&nbsp;(ICIPE): ICIPE&rsquo;s&nbsp;research&nbsp;focus&nbsp;is&nbsp;on&nbsp;insect&nbsp;biology,&nbsp;in&nbsp;order&nbsp;to&nbsp;improve&nbsp;the&nbsp;wellbeing&nbsp;of&nbsp;the&nbsp;peoples&nbsp;of&nbsp;the&nbsp; tropics&nbsp;through&nbsp;insect&nbsp;science.&nbsp;There&nbsp;is&nbsp;a&nbsp;commitment&nbsp;to&nbsp;utilise&nbsp;contemporary&nbsp;science&nbsp;in&nbsp;order&nbsp;to&nbsp; limit&nbsp;the&nbsp;impact&nbsp;of&nbsp;disease&nbsp;vectors,&nbsp;and&nbsp;agricultural&nbsp;pests.&nbsp;The&nbsp;understanding&nbsp;of&nbsp;the&nbsp;mechanisms&nbsp; associated&nbsp;with&nbsp;behaviour&nbsp;(e.g.&nbsp;attraction&nbsp;and&nbsp;repellency)&nbsp;is&nbsp;crucial.&nbsp;ICIPE&nbsp;seeks&nbsp;to&nbsp;enhance&nbsp;its&nbsp; bioinformatics&nbsp;capacity&nbsp;in&nbsp;order&nbsp;to&nbsp;support&nbsp;data&nbsp;from&nbsp;various&nbsp;EST&nbsp;projects&nbsp;designed&nbsp;to&nbsp;gain&nbsp;insights&nbsp; into&nbsp;the&nbsp;insect&nbsp;ecology&nbsp;and&nbsp;plant&nbsp;pathogen&nbsp;interactions&nbsp;though&nbsp;studies&nbsp;of&nbsp;metabolic&nbsp;pathways&nbsp; associated&nbsp;with&nbsp;production&nbsp;of&nbsp;all&nbsp;elochemicals.&nbsp;</p><p>Long&shy;term training activities:</p><p>Kenyatta University: An introductory course in Bioinformatics is offers to MSc Biotechnology&nbsp; students. This comprises of 35 hours of lectures and practicals.</p><p>University of Nairobi: A centre for Biotechnology and Bioinformatics (CEBIB), which will offer&nbsp; postgraduate training (diplomas, MSc and PhD) in areas of biotechnology and bioinformatics has&nbsp; recently been launched. Other universities in Kenya, including Egerton, Maseno and the Jomo Kenyatta University of&nbsp; Agriculture and Technology offer introductory courses to undergraduates in biomedical sciences. In addition, under the BECA platform MSc and PhD fellowships are being made available for&nbsp; Bioinformatics students. ILRI is forging links with Universities in South Africa and the United&nbsp; Kingdom to provide access to courses and training material.&nbsp;</p><p>Research Interest and Activities:</p><p>The following are the present areas of research interest: 1. EST clustering 2. Genome sequencing and annotation 3. Functional genomics and proteomics (including key tropical pathogens) 4. Structural bioinformatics 5. Development of Bioinformatics Data Management Systems 6. Gene Mining 7. High Throughput Genotyping 8. Microarray data management and analysis 9. Metagenomics 10. Immunoinformatics 11. Host&shy;pathogen interaction 12. High performance computing and grid development 13. Parasite transfection technologies 14. Cell cycle regulation 15. Population genetics 16. Vector genomics 17. Drug, vaccine and diagnostic target discovery</p><p>More at&nbsp;Web&nbsp;site&nbsp;and&nbsp;links:</p><p>http://www.ilri.cgiar.org/</p><p>http://www.icipe.org/ &nbsp; &nbsp;</p><p>http://www.uonbi.ac.ke/cebib</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4351/cpcri-kasaragod-bioinformatics-pa</guid>
  <pubDate>Sat, 07 Sep 2013 14:15:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[CPCRI Kasaragod Bioinformatics PA]]></title>
  <description><![CDATA[
<p>CENTRAL PLANTATION CROPS RESEARCH INSTITUTE<br />(Indian Council of Agricultural Research)<br />KASARAGOD -671 124, KERALA</p>

<p>WALK-IN-INTERVIEW</p>

<p>Walk-in-test cum interview for selection to the following temporary assignments sanctioned under the DBT sponsored adhoc time bound research scheme entitled "Establishment of a Sub-DIC" will be held at CPCRl, Kudlu PO, Kasaragod District, Kerala -6711 24 on the date and time indicated against each:</p>

<p>Project Assistant</p>

<p>    Qualification: Essential: Masters Degree in Bioinformatics / B.Tech Degree in Bioinformatics</p>

<p>    Desirable: 1. Experience in the field of bioinformatics<br />    2. M.Phil / Doctoral degree in the field</p>

<p>    Date of interview 24.09.2013 at 10.00 a.m.</p>

<p>Trainee – 2 Posts</p>

<p>    Essential: Masters Degree in Bioinformatics or B.Tech Degree in Bioinformatics.</p>

<p>    Date of interview 25.09.2013 at 10.00 a.m.</p>

<p>Studentship – 2 Posts</p>

<p>    Essential Final Year/Semester students of MSc Bioinformatics or B.Tech Bioinformatics</p>

<p>    Date of Interview 25.09.2013 at 10.00 a.m.</p>

<p>The candidates fulfilling the above eligibility criteria for Item No.1 &amp; II shall apply online and walk-in for a written test and interview at CPCRI, Kasaragod on the respective dates at 10.00 a.m. The candidates for Studentship should submit the application through their Head of the Department. They shall also bring with them a set of bio data and original certificates in proof of age, educational qualifications, experience etc. Candidates who fail to produce the original of the Degree/PO certificates OR provisional certificate will not be allowed to attend the test / interview. Those who are qualified in written test will only be permitted to attend the interview.</p>

<p>No TA will be paid for the journey for attending the interview.</p>

<p>Advertisement: http://www.cpcri.gov.in/images/images/opportunity/sep4_opp.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4654/la-trobe-university-melbourne-australia</guid>
  <pubDate>Fri, 20 Sep 2013 13:05:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[La Trobe University, Melbourne, Australia]]></title>
  <description><![CDATA[
<p>La Trobe University, Melbourne, Australia</p>

<p>An exciting opportunity exists for a highly motivated and enthusiastic bioinformatics researcher to work in the Exosome, Secretome and Systems Biology laboratory of Dr Suresh Mathivanan. This position is funded through the National Institutes of Health (NIH) USA, to study the role of extracellular RNA or ExRNA in intercellular communication.</p>

<p>The successful applicant will be involved in collaborative bioinformatics research with more than 30 American Universities/Institutes.  The ExRNA consortium is a multi-institute USD 17 million funded program which has 5 primary aims: to understand the biogenesis of ExRNA (vesicles and non-vesicles), to explore the use of ExRNA in biomarker research, to establish a reference profile of ExRNA in various disease conditions, to explore the role of ExRNA in therapeutic purposes and to manage the generated data through a reference portal.  The bioinformatics component is critical in managing and analysing the data generated by the entire consortium.  The researcher is required to contribute to the management and perform the analysis of ExRNA data.</p>

<p>The candidate to succeed, you will possess:</p>

<p>Experience in the analysis and modelling of data, including the capacity to integrate data from a range of sources and of uneven quality.</p>

<p>Evidence of experience in research and of the ability to work effectively under limited supervision or independently.</p>

<p>A record of contribution to publications, conference papers and/or reports, or professional or technical contributions which provide evidence of research potential.</p>

<p>Completion of a doctoral degree in bioinformatics or biostatistics with a focus on transcriptomic data will be highly regarded.</p>

<p>Preference will be given to applicants with competence in programming (JavaScript, Perl/Python), any web-based applications (PHP, ZOPE) and relational databases (MySQL).</p>

<p>Closing date:  30 September 2013</p>

<p>Position Enquiries: Dr Suresh Mathivanan (s.mathivanan@latrobe.edu.au)</p>

<p>More at http://www.mathivananlab.org/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/43418/caceres-lab</guid>
  <pubDate>Sat, 02 Oct 2021 00:20:42 -0500</pubDate>
  <link></link>
  <title><![CDATA[Cáceres Lab]]></title>
  <description><![CDATA[
<p>Lab are included within the Genomics, Bioinformatics and Evolution group of the UAB, and collaborate closely with other researchers in the Barcelona area, such as Xavier Estivill of the Centre for Genomic Regulation (CRG), Juan R González of the Centre for Research in Environmental Epidemiology (CREAL), and Tomàs Marqués-Bonet of the Institute of Evolutionary Biology (IBE), as well as with other international groups and projects.</p>

<p>https://grupsderecerca.uab.cat/cacereslab/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/43913/lsugenomics-lab</guid>
  <pubDate>Thu, 07 Jul 2022 05:26:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[lsugenomics Lab]]></title>
  <description><![CDATA[
<p>﻿In our lab, we seek to characterize and to compare genomes in order to better understand genetic and evolutionary processes linking genotypes to phenotypes.  <br /> <br />Sequencing and decoding plant genomes have been integral in our approaches.</p>

<p>The overarching goal of our research is to understand how to interpret complex and fascinating messages embedded in genomes.</p>

<p>https://www.lsugenomics.org/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44204/bioinformatics-training-collections</guid>
	<pubDate>Sun, 05 Mar 2023 23:01:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44204/bioinformatics-training-collections</link>
	<title><![CDATA[Bioinformatics Training Collections !]]></title>
	<description><![CDATA[<p>Useful list of bioinformatics training collections @&nbsp;https://github.com/sib-swiss/training-collection</p><p>Address of the bookmark: <a href="https://github.com/sib-swiss/training-collection" rel="nofollow">https://github.com/sib-swiss/training-collection</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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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/opportunity/view/44413/bioinformatics-opening-at-nibmg-india</guid>
  <pubDate>Sun, 03 Dec 2023 00:16:59 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Opening at NIBMG, India]]></title>
  <description><![CDATA[
<p>NIBMG is looking for motivated and bright individuals interested to explore career<br />opportunities for the position of Research Associate (Project Linked Person) for extramural<br />project funded by ICMR as per details given below.<br />Project Name: Fast detection of driver mutations and genes from cancer genomics data using<br />an integrative machine learning-based approach.</p>

<p>More at https://www.nibmg.ac.in/uploads/3c5d4da3fb31bef490a218805408c858.pdf</p>
]]></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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