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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/39612?offset=810</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42810/bioinformatics-in-africa-part3-mali</guid>
	<pubDate>Sat, 06 Feb 2021 13:28:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42810/bioinformatics-in-africa-part3-mali</link>
	<title><![CDATA[Bioinformatics in Africa: Part3 - Mali]]></title>
	<description><![CDATA[<p>International&nbsp;Center&nbsp;for&nbsp;Excellence&nbsp;in&nbsp;Research&nbsp;(ICER):</p><p>The&nbsp;ICER&nbsp;is&nbsp;a&nbsp;research&nbsp;center&nbsp;composed&nbsp;of&nbsp;the&nbsp;following&nbsp;three&nbsp;programs: 1. The&nbsp;Malaria&nbsp;Research&nbsp;and&nbsp;Training&nbsp;Center&nbsp;&shy;&nbsp;Parasitology&nbsp;Group,&nbsp; 2. The&nbsp;Malaria&nbsp;Research&nbsp;and&nbsp;Training&nbsp;Center&nbsp;&shy;&nbsp;Entomology&nbsp;Group&nbsp; 3. The&nbsp;SEREFO&nbsp;Group.</p><p>The&nbsp;first&nbsp;two&nbsp;programs&nbsp;develop&nbsp;biomedical&nbsp;researches&nbsp;in&nbsp;malaria,&nbsp;Filariasis&nbsp;and&nbsp;Leishmaniasis.&nbsp;The&nbsp; third&nbsp;program&nbsp;develops&nbsp;biomedical&nbsp;researches&nbsp;in&nbsp;tuberculosis&nbsp;and&nbsp;HIV.</p><p>Bioinformatics&nbsp;was&nbsp;introduced&nbsp;recently&nbsp;to&nbsp;the&nbsp;ICER&nbsp;and&nbsp;is&nbsp;constantly&nbsp;growing.&nbsp;The&nbsp;ICER&nbsp;has&nbsp;one&nbsp; team,&nbsp;headed&nbsp;by&nbsp;Sidy&nbsp;SOUMARE,&nbsp;which&nbsp;supports&nbsp;the&nbsp;three&nbsp;programmes&nbsp;in&nbsp;all&nbsp;their&nbsp;needs&nbsp;in&nbsp; informatics&nbsp;and&nbsp;bioinformatics.&nbsp;This&nbsp;team&nbsp;can&nbsp;beneficiate&nbsp;from&nbsp;some&nbsp;computational&nbsp;facilities&nbsp;(4&nbsp; blast&nbsp;servers,&nbsp;15&nbsp;other&nbsp;servers&nbsp;and&nbsp;around&nbsp;200&nbsp;terminals),&nbsp;but&nbsp;the&nbsp;ICER&nbsp;staff&nbsp;needs&nbsp;some&nbsp;training&nbsp;in&nbsp; order&nbsp;to&nbsp;be&nbsp;able&nbsp;to&nbsp;administrate&nbsp;these&nbsp;facilities.</p><p>Research&nbsp;Interest&nbsp;and&nbsp;Activities: The&nbsp;following&nbsp;are&nbsp;the&nbsp;present&nbsp;areas&nbsp;of&nbsp;research&nbsp;interest: 1. Functional&nbsp;genomics 2. Analysis&nbsp;of&nbsp;microarray&nbsp;data 3. Interaction&nbsp;between&nbsp;the&nbsp;vector&nbsp;and&nbsp;the&nbsp;parasite.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <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/42907/lecturer-in-evolutionary-biology-bioinformatics-at-department-of-zoology-te-tari-matai-kararehe-division-of-sciences-te-rohe-a-ahikaroa</guid>
  <pubDate>Tue, 23 Feb 2021 02:05:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[Lecturer in Evolutionary Biology (Bioinformatics) at DEPARTMENT of ZOOLOGY | TE TARI MĀTAI KARAREHE DIVISION of SCIENCES | TE ROHE A AHIKAROA]]></title>
  <description><![CDATA[
<p>DEPARTMENT of ZOOLOGY | TE TARI MĀTAI KARAREHE<br />DIVISION of SCIENCES | TE ROHE A AHIKAROA</p>

<p>Applications are invited for the position of Lecturer in Evolutionary Biology (Bioinformatics).</p>

<p>We are seeking a person with a relevant doctorate, and demonstrated potential to develop as an outstanding researcher and teacher in evolutionary bioinformatics in the Department of Zoology. The position affords an exciting opportunity for an emerging scholar to research and teach in a vibrant and diverse Department. The successful candidate will develop a transformative and collaborative research program, supporting the university's commitment to excellence in research.</p>

<p>Your skills and experience</p>

<p>A PhD with a background in analysis of high-throughput sequencing data and evolutionary biology.<br />Knowledge of and familiarity with a range of bioinformatics skills, concepts, and practices as they relate to the biology of animals, including genomic, transcriptomic and metabarcoding data analyses.<br />A strong interest, and experience, in research and teaching of bioinformatics and evolutionary genomics.<br />An ability to contribute to teaching and learning environments that support engagement of students and staff with bioinformatics and genomics.<br />Be committed to and or have established connections or track record of working with national and local bioinformaticians. <br />Be committed to being a productive collaborator with a track record of working collegially.<br />Further details</p>

<p>This is a confirmation-path (tenure track) position at the level of Lecturer. The successful candidate is expected to take up duties by 1 July 2021.</p>

<p>To see a full job description and to apply online go to: https://otago.taleo.net/careersection/2/jobdetail.ftl?job=2100342</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5462/showreel-2008-cortical-studios</guid>
	<pubDate>Sat, 12 Oct 2013 18:33:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5462/showreel-2008-cortical-studios</link>
	<title><![CDATA[Showreel 2008 - Cortical Studios]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/qrReqMKe7Xg" frameborder="0" allowfullscreen></iframe>We are a bioinformatics company that combines 3D animation, multimedia and scientific knowledge to meet your communication needs. With our academic background in the fields of biotechnology and molecular cellbiology and our computer expertise we provide cutting edge 3D animation productions for even the most complex projects. We translate complex scientific information into comprehensible artistic imagery in order to improve communication in the life sciences. Please feel free to contact us with any questions regarding the possibilities for your unique project.

Cortical Studios
Keizersgracht 8
1015 CN
Amsterdam
The Netherlands
info@corticalstudios.nl
www.corticalstudios.nl]]></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>
]]></description>
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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/43993/phd-positions-on-integrative-omics-and-phylogenomics</guid>
  <pubDate>Wed, 19 Oct 2022 05:11:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[PhD positions on integrative omics and phylogenomics]]></title>
  <description><![CDATA[
<p>Would you like to participate in an exciting interdisciplinary research project to discover the hidden chemistry of plants and its evolution using computational omics approaches? Do you enjoy collaboration and teamwork while being at the cutting edge of scientific progress? We are looking for two PhD candidates with complementary skills to pioneer new technologies to analyze, explore and leverage the diversity of plant chemistry hidden in plant genomes.</p>

<p>Plants represent an untapped resource of natural bioactive compounds that significantly contribute to plant resilience to pathogens, herbivores, and abiotic stresses, and may be applied for medicine or crop protection. In this project, you will design and/or apply innovative omics integration strategies for genomics, transcriptomics, and metabolomics data, to discover plant specialized metabolite biosynthetic pathways and study their evolution. You will work together with the other PhD candidate in this project, which will entail a combination of algorithm development, greenhouse experiments, integrative omics analysis, and evolutionary genomics. Extensive local and international collaboration is foreseen, including possibilities for a foreign research visit as part of your PhD project.</p>

<p>The research is embedded within the chairs of Bioinformatics and Biosystematics. The projects will be (co-)supervised by Dr. Marnix Medema, Dr. Justin van der Hooft, Dr. Klaas Bouwmeester and Prof. Dr. Eric Schranz.</p>

<p>We ask</p>

<p>We are looking for two enthusiastic and complementary team players with all or a subset of the following skills:</p>

<p>a solid academic record (MSc) in bioinformatics, biology, or biotechnology<br />experience in computational omics analysis and proficiency in programming (in, e.g., Python)<br />at least basic to intermediate statistical and mathematical skills<br />demonstrable experience in working with next-generation sequencing data or with greenhouse experiments with plants<br />affinity with plant science, metabolism and/or biosynthetic pathways<br />you meet all the entry requirements of the  WUR PhD programme.<br />More information</p>

<p>For more information about this position, please contact Marnix Medema, Associate Professor Bioinformatics, by email (marnix.medema@wur.nl).<br />For more information about the procedure, please contact vacaturemeldingen.psg@wur.nl.</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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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44254/bioinformatics-chat</guid>
	<pubDate>Mon, 13 Mar 2023 13:20:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44254/bioinformatics-chat</link>
	<title><![CDATA[Bioinformatics Chat !]]></title>
	<description><![CDATA[<p>The bioinformatics chat is a podcast about computational biology, bioinformatics, and next generation sequencing.</p>
<p>The bioinformatics chat is produced by&nbsp;<a href="https://ro-che.info/">Roman&nbsp;Cheplyaka</a>&nbsp;and hosted by Roman and&nbsp;<a href="https://jmschrei.github.io/">Jacob&nbsp;Schreiber</a>.</p><p>Address of the bookmark: <a href="https://bioinformatics.chat/" rel="nofollow">https://bioinformatics.chat/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5253/pre-or-postdoctoral-research-fellowship-in-structural-bioinformatics-in-padova</guid>
  <pubDate>Wed, 02 Oct 2013 15:12:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[Pre- or postdoctoral research fellowship in Structural Bioinformatics in Padova]]></title>
  <description><![CDATA[
<p>University of Padova (URL: http://protein.bio.unipd.it/)</p>

<p>A research fellowship is available at the BioComputing Laboratory, University of Padova (URL: http://protein.bio.unipd.it/). A highly motivated and creative candidate is sought to work on structural bioinformatics. Specifically, the project entails the development of novel methods, tools and databases for the analysis of protein structures. The BioComputing Laboratory is a group of a dozen people working on several aspects of prediction of protein structure &amp; function employing techniques at the intersection between biology, medicine, chemistry, physics &amp; computer science. Our aim is to integrate the development of novel methods and their application to biologically relevant problems. We are looking for candidates with a solid Bioinformatics background, programming experience (Python, Perl, C++ and/or Java) and good knowledge of molecular biology (protein structure/function, signalling pathways). Candidates should have a degree with top marks, optionally hold a PhD, and be highly motivated to work on interdisciplinary research. Good knowledge of English, an open-minded spirit, being collaborative and creative are crucial. The fellowship, which should start in late 2013, is initially for one year. It will be commensurate to experience, can be extended depending on performance and may lead to a PhD degree. The successful candidate will be located at the BioComputing Laboratory, University of Padova. Travel support for conferences and/or research visits abroad may be provided. To apply, please send your CV, a brief description of your research background and the names of two (or more) references to Prof. Silvio Tosatto (Email: silvio.tosatto@unipd.it). </p>

<p>Contact Person (Referent): Silvio Tosatto<br />Ref. E-Mail: silvio.tosatto@unipd.it<br />Tel: +39 049 827 6269<br />Fax: +39 049 827 6260<br />Group Web Page: http://protein.bio.unipd.it/</p>
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