BOL: Related items

3 PhD positions available in the area of Bioinformatics/Computational Biology at ulster.ac.uk

Thu, 02 Jan 2020 12:41:10 -0600

3 PhD positions available in the area of Bioinformatics/Computational Biology, Machine Learning (ML)/Artificial Intelligence (AI), Biomarker Discovery, Stratified/Personalized Medicine in Mental Health, Diabetes and Multimorbidity. Please see details (weblinks) below:

1. https://www.ulster.ac.uk/doctoralcollege/find-a-phd/510894
2. https://www.ulster.ac.uk/doctoralcollege/find-a-phd/511458
3. https://www.ulster.ac.uk/doctoralcollege/find-a-phd/512618

Looking for students with good computational/programming skills (preferable in Linux/Shell, Python and/or R) and knowledge in computational biology and statistics. However, students from more biology oriented background but strong interest to learn bioinformatics and programming are also encouraged to apply.

Informal inquiries are welcomed at: p.shukla@ulster.ac.uk

Dr Priyank Shukla PhD FHEA FCHERP
Lecturer (Asst Prof) in Stratified Medicine (Bioinformatics)

Northern Ireland Centre for Stratified Medicine
Biomedical Sciences Research Institute
University of Ulster (Magee Campus)
C-TRIC Building, Altnagelvin Area Hospital
Glenshane Road, Derry/Londonderry
BT47 6SB, Northern Ireland, United Kingdom

T: +44 28 7167 5690
E: p.shukla@ulster.ac.uk
W: https://www.ulster.ac.uk/staff/p-shukla

Dr. Ken Buetow: IS & Personalized Medicine Lecture-Part 1

Sun, 29 Sep 2013 20:11:09 -0500

Full Lecture Abstract Creating an Evidence Engine to Support Personalized Medicine Personalized medicine is transforming biomedical research and healthcare service delivery. Disease definition, diagnosis, treatment, and prevention are being fundamentally altered by the capacity to routinely perform comprehensive molecular characterization. Nowhere is this change happening faster than in the field of cancer. Increasingly sophisticated technology provides the capacity to describe, in multiple molecular dimensions, the tumor and the individual in which it has developed. These technologies identify the millions of variants present in normal individuals and thousands of alterations that occur during the course of the disease process. The generation of this unprecedented amount of data presents us with the challenge contextualizing that data and converting into actionable information. Currently, the context is drawn from fragmented research literature generated by "siloed" reductionist basic science investigations, t incomplete outcomes of clinical research designed for regulatory approval, t out-of-date recommendations made by bodies of experts, and day-to-day clinical experience of the practitioner. The integration and interpretation of this complex multidimensional information into the evidence necessary to support clinical care exceeds the raw human cognitive capacity. Information systems have the capacity to provide the needed "tool" to tackle this challenge -- to generate the necessary evidence to support the delivery of personalized medicine. Arizona State University's (ASU) Complex Adaptive Systems team is building such an Evidence Engine in its Next Generation Cyber Capability (NGCC). The ASU NGCC -- composed of networks, hardware, software, and people transforms "Big Data" to information and creates the evidence necessary to enable personalized medicine. Bio Dr. Buetow currently serves as Director of Computational Sciences and Informatics within Arizona State University's (ASU) Complex Adaptive Systems Initiative (CASI). CASI applies systems approaches that leverage ASU's interdisciplinary research strengths to address complex global challenges. The Computational Sciences and Informatics program is developing and applying information technology to connect and enhance trans-disciplinary knowledge both within ASU and across the broader knowledge-generating ecosystem to address problems in biomedicine, the environment, and national security. Dr. Buetow previously served as the Director of the Center for Biomedical Informatics and Information Technology within the National Institutes of Health's National Cancer Institute (NCI). In that capacity he initiated and oversaw the NCI's efforts to connect the global cancer community through community-developed, standards-based, interoperable informatics capabilities that enable secure exchange and use of biomedical data. Buetow designed and built one of the largest biomedical computing efforts in the world. He was responsible for coordinating biomedical informatics and information technology. The NCI center he led focused on speeding scientific discovery and facilitated translational research by coordinating, developing and deploying biomedical informatics systems, infrastructure, tools and data in support of NCI research initiatives. The primary focus of the Buetow laboratory is the application of computational technologies to solve major biomedical challenges, particularly the role of genetics in complex human diseases such as cancer. It undertakes this mission through a systems approach in which genetic analytic approaches are applied to multiple high-throughput molecular characterizations integrated through informatics. The Buetow laboratory approaches diseases such as cancer as a complex adaptive system. The Buetow laboratory has a long history of developing and applying bioinformatics methods to find genetic components underlying complex traits. The laboratory was instrumental in the earliest studies developing and applying linkage disequilibrium methods as genetic mapping tools. The laboratory also developed methods and pipelines to generate and apply genome-wide genetic maps. In early work with genome-wide gene sequence data, the laboratory developed approaches to efficiently and accurately computationally identify variants. More recently, the analytic approaches have been extended to systematically identify insertion/deletion variation, translocations, and rearrangements. In application to transcriptome data, these methods facilitate identification of splicing and alternative transcripts. More information available at: https://sols.asu.edu/people/kenneth-buetow-0

Fiona Brinkman Laboratory

Sun, 14 Jul 2013 12:46:31 -0500

Infectious disease control needs to be made more “sustainable”. We need to reduce selective pressure on pathogens to evolve antibiotic resistance. We need to control infectious disease outbreaks and associated immune disorders with a better understanding of the genetic, environmental and social factors that impact disease spread and severity.

Research Area

Investigating the role in disease of both the microbe and its host (i.e immune system failure), using genomics and systems biology-based approaches
Using genomics and network analysis to characterize disease outbreaks and their environmental/social/genetic causes, and
Identifying new anti-infective and immune modulating therapies/biomarkers.

Link @ http://www.brinkman.mbb.sfu.ca/

BioProgramming

Jitendra Narayan — Sun, 14 Jul 2013 16:29:53 -0500

The completion of the first human genome drafts was just a start of the modern DNA sequencing era which resulted in further invention, improved development toward new advanced strategies of high-throughput DNA sequencing, so called the “high-throughput next generation sequencing” (HT-NGS). The decreasing genome sequencing cost and desire to explore and understand biological machanism at genomic level, speed up the genomic sequencing projects. In the fast growing HT-NGS technologies, the main challenge is to cope with the analysis of vast production of sequencing database through advanced bioinformatics tools. In oder to develope sotware/tools bioinformatician/ biological programmers need to expertise in any one one the programming language. However, sometime one language are not enough to handle all sort of biological needs, which compel us to learn new biologically suitable language to handle ever growing genome or protein sequences.

The next step after reading genetic code is writing a script to analyse and explore the hidden information. This tutorial is aimed to introduce you new biological programming languages with their packages/libraries, and assist in your scripting work.

Navigate the sub-section of this page [ see right hand side of the page for it ]

Livestock Functional Genomics Summer School (LFG 2013)

Fri, 02 Aug 2013 09:57:37 -0500

*Livestock Functional Genomics Summer School - Call for applications*

1st Livestock Functional Genomics Summer School (LFG 2013).

This School was designed for graduate students and early-stage researchers with interest in livestock genomics, who are engaged in projects that require knowledge in the field of computational biology.

Sixty selected participants will spend 13 days receiving theoretical and practical training in genomic data handling from internationally renowned experts.

After the course, the participant should understand the basis and the context of livestock big molecular data, and be able to manipulate high density genotypes, whole genome sequences and transcriptome data.

The Summer School will be held in Araçatuba-SP Brazil, from the 13th to the 21st of September 2013.

All accepted participants will have *expenses fully covered (air ticket, hotel and meals)*, including a free pass to the 5th International Symposium on Animal Functional Genomics http://www.isafg2013.org.br

Applicants will be selected based on their résumés. Application date is due by August 10th. Results will be announced in August 12th.

Please consult website: http://www.sciencesatellite.org.br/sschool

List of pharmacogenomics companies worldwide

Jitendra Narayan — Fri, 09 Aug 2013 13:24:47 -0500

Pharmacogenomics are the most promising area of research. Here is the list of some Pharmacogenomics companies worldwide. Feel free to add more pharmacogenomics companies if not mentioned in here.

Great Pharmacogenomics companies
www.aruplab.com
www.clarientinc.com
www.cns-hts.com
www.dnanow.com
www.dnavision.be
www.dnavision.com
www.dxsdiagnostics.com
www.entrogen.com
www.exiqon.com
www.gene.com
www.genomichealth.com
www.genoptix.com
www.genpathdiagnostics.com
www.gentris.com
www.immunicon.com
www.ingenuity.com
www.lab21.com
www.labcorp.com
www.lion-ag.de
www.lynxgen.com
www.mayoclinic.com
www.mesoscale.com
www.microcide.com
www.mitokor.com
www.monarchlifesciences.com
www.mplnet.com
www.orchidbio.com
www.pebio.com
www.phenomenome.com
www.phenopath.com
www.ppgx.com
www.prometheuslabs.com
www.protogene.com
www.questdiagnostics.com
www.rigelinc.com
www.rii.com
www.saladax.com
www.tmdlab.com
www.transgenomic.com
www.twt.com
www.uslabs.net
www.variagenics.com

Great Equipment Companies for Genomics
www.affymetrix.com
www.illumina.com
www.iontorrent.com
www.sequenom.com
www.appliedbiosystems.com
www.454.com
www.appliedbiosystems.com

Genomics in India
www.ganitlabs.in
www.sandor.co.in
www.igib.res.in
www.genotypic.co.in
www.ocimumbio.com
www.abcgenomics.com
www.xcelrisgenomics.com
www.ayugen.com
www.geneombiotech.com

Large Global Whole Genome Companies
www.decode.com
www.23andme.com
www.navigenics.com
www.pathway.com

Global companies offering genomics services
www.asuragen.com
www.baseclear.com
www.agtcenter.com
www.ambrygen.com
www.arosab.com
www.agrf.org.au
www.beckmangenomics.com
www.genomics.cn
www.bsf.a-star.edu.sg
www.cbm.fvg.it
www.cincinnatichildrens.org
www.cofactorgenomics.com
www.covance.com
www.dnalandmarks.ca
www.dnavision.com
www.expressionanalysis.com
www.fasteris.com
www.gatc-biotech.com
www.genesdiffusion.com
www.geneseek.com
www.geneticvisions.com
www.geneworks.com.au
www.genizon.com
www.genoskan.dk/uk
www.gpbio.jp
www.igatechnology.com
www.igenixinc.com
www.auxologico.it
www.lifeandbrain.com
www.macrogen.co.kr/eng
www.gqinnovationcenter.com
www.mftservices.de
www.ncgr.org
www.ramaciotti.unsw.edu.au
www.rikengenesis.jp
www.SABiosciences.com
www.sequensysbio.com
www.servicexs.com
www.snp-genetics.com
www.takara-bio.com
www.gen-probe.com
www.traitgenetics.com

Postdoctoral Associate - Bioinformatics at Duke University Medical Center

Sat, 10 Aug 2013 18:38:38 -0500

The Department of Biostatistics and Bioinformatics at Duke University Medical Center is seeking a Postdoctoral Associate for a one year appointment to work on several high-dimensional research projects. The specific goals of the project are to identify genes or molecular markers that are predictive of clinical outcomes in renal and prostate cancer.

Candidates must have: a PhD degree in statistics, biostatistics or bioinformatics, extensive experience in analyzing high-dimensional data (microarray, SNP, CNVs) and of validation approaches. In addition, experience in penalized regression methods, data base manipulation; and strong programming skills in order to conduct Monte Carlo studies and applications (R). Candidate must have excellent communication skills (verbal, written and presentation), a strong proficiency in Linux system.

This position is available immediately and will be filled as soon as possible. Appointment could be extended beyond the first year based on additional funding.

For more information about the Department of Biostatistics and Bioinformatics, please visit our website: http://www.biostat.duke.edu.

For more info: http://biostat.duke.edu/sites/biostat.duke.edu/files/Halabi%20-%20Postdoc%20Job%20Posting%202013%20updated.pdf

Duke University is an Equal Opportunity/Affirmative Action Employer.

BIGRE Lab

Sun, 17 Nov 2013 10:35:49 -0600

The Laboratoire de Bioinformatique des Génomes et des Réseaux (Genome and Network Bioinformatics) is specialized in the conception, implementation, evaluation and application of bioinformatics approaches for the analysis of genome, transcriptome, proteome and metabolism.
Our main activities include

Analysis of regulatory sequences (RSAT project)
Classification and analysis of mobile genetic elements (ACLAME project).
Analysis of molecular interaction networks (NeAT project)
Inference of metabolic pathways from genomic and post-genomic data
(metabolic pathfinding, see also metabolic pathfinding in NeAT)
Critical assesment of protein interactions (CAPRI)

Lab Page http://www.bigre.ulb.ac.be/

Computer Theory & Genetics: George Chao at TEDxUMNSalon

Thu, 15 Aug 2013 22:08:10 -0500

George Chao is an undergraduate senior studying Genetics and Computer Science at the University of Minnesota. Having started genetics research as soon as he entered the university, he has worked in labs spanning multiple disciplines as well as in Japan. Some of these researches include developmental genetics in Drosophila, computational techniques for analyzing protein interactions, and helping with the development of algorithms to analyze motion capture data of patients with neck pain. During this time, George steadily developed a fascination with the field of bioinformatics, the study of using computational techniques to learn from genetic data. He would like to go into a career of research into the application of bioinformatics in various fields. ---- The individuals involved with TEDxUMN have a passion for bringing together the great thinkers at the University of Minnesota and giving them the opportunity to share their ideas worth spreading and to discuss our shared future. We provide these great people the opportunity to share these ideas on a global stage and with an incredibly diverse audience. We believe in the power of ideas to change attitudes, lives and ultimately the world. Check out TEDxUMN at http://www.TEDxUMN.com/ 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)

'What is Life? A 21st Century Perspective' by Dr Craig Venter

Mon, 26 Aug 2013 17:09:17 -0500

One of the landmark events of 20th century science was celebrated and reinterpreted for the 21st century in Trinity College Dublin on 12 July 2012 as part of the Science in the City programme of ESOF2012. Dr Craig Venter, one of the leaders of the Human Genome Project in the 1990s and a pioneer of synthetic biology delivered a lecture entitled, 'What is Life? A 21st century perspective' recreating the Irish event that inspired the discovery of the structure of DNA. In February, 1943 one of the most distinguished scientists of the 20th Century, Erwin Schrödinger, delivered a seminal lecture, entitled 'What is Life?', under the auspices of the Dublin Institute for Advanced Studies, in Trinity College Dublin. The lecture presented far-sighted ideas on how hereditary information could be encoded in a chemical structure (aperiodic crystal) in living cells. Schrödinger's book (1944) of the same title is considered to be a scientific classic. The book was cited by Crick and Watson as one of the inspirations which ultimately led them to unravel the structure of DNA in 1953, a breakthrough which won them the Nobel prize.