BOL: Related items

Kamaleshwar Singh Lab

Fri, 25 Mar 2016 10:46:49 -0500

The focus of Dr. Singh’s research and teaching is on the molecular mechanistic basis for environmental carcinogen-induced genetic (DNA damage) and epigenetic changes, and susceptibility to human cancer development

More at http://www.tiehh.ttu.edu/dr.-kamaleshwar-singh.html

Scientist at Advanced Centre for Treatment, Research and Education in Cancer - Navi Mumbai, Maharashtra

Tue, 30 Aug 2016 04:16:15 -0500

Scientist
Advanced Centre for Treatment, Research and Education in Cancer - Navi Mumbai, Maharashtra
Scientist (One position)
Project: Bioinformatics centre DBT- Sub-DIC at ACTREC
Funding agency: DBT Grant No.232

Duration of the Project: Six Months from the date of appointment can be extended further for six months
Essential Qualification and Experience: 1st Class Masters Degree in Bioinformatics or Life Sciences equivalent degree from a recognized University with 4 years R&D experience in Bioinformatics or relevant subjects from recognized institutes.
OR
Ph.D. degree in Bioinformatics or Life Sciences from recognized University.
M.Sc. degree obtained after a one year course will not be considered.
Experience: Research/teaching experience in Bioinformatics or relevant subjects form recognized Institute(s).

More at http://www.actrec.gov.in/data%20files/Vacancies/2016/AV-scin-stud-trainee-6-Sept-16.docx

Computer scientist/bioinformatician at IEO in Milan, Italy

Thu, 31 Jan 2019 09:10:12 -0600

We are looking for a computer scientist or a bioinformatician with a strong computation background to join the bioinformatics unit of the IEO in Milan. Web development, scripting, experience with spring boot, hpc, docker are appreciated. The candidate will evolve in a research environment (next generation sequencing among others). The selected candidate will consolidate our team for the development and maintenance of the bioinformatics resources, and will have the opportunity to support the research groups in setting new tools and pipelines.

Place of employment and work

The candidate will be located at the Department of Experimental Oncology of the European Institute of Oncology in Milan (Italy), one of Europe’s leading research institutes in biomedical research, where he/she will also interact with one of the largest computational biology communities in Italy

Requirements:

The candidate should have a good knowledge of the UNIX system and good programming skills (bash, R, python, java). Background in bioinformatics would be appreciated but is not mandatory. Additional experience with containers (docker, singularity), grid computing, web frameworks, continuous integrations will be appreciated.

For further info or to arrange an informal interview, please write to arnaud.ceol@ieo.it

Gupta Lab

Sun, 15 Sep 2013 09:31:24 -0500

Gupta laboratory of Natural Information Processing at DA-IICT. Research in our lab currently focuses on two aspects of information processing viz. deciphering the information processing principles in life (systems biology) and making a computer out of bio-molecules. The key expertise of the lab is in error-correcting codes. We also work in classical and quantum information processing principles with expertise in coding theory and its wide variety of applications in Information and Communication Technology (ICT).

More @ http://www.guptalab.org/

Prof. Chandrasekhar Kanduri Laboratory

Fri, 24 Jun 2016 16:59:43 -0500

Our lab has been interested in understanding how long noncoding RNAs control tumor initiation and progression, in addition to use them as potential biomarkers in diagnosis and therapy. We have been using neuroblastoma, a childhood cancer, as a model system to understand the functional role of long noncoding RNAs in cancer development and progression. By using new RNA sequencing technology on neuroblastoma tumors from a large group of Swedish children including both high-risk and low-risk neuroblastomas (108), we have identified several long noncoding RNAs that could have potential role in diagnosis and therapy. We are currently exploring the functional role of these differentially expressed long noncoding RNA in nuroblastoma progression and development.

Artificial intelligence is more accurate than doctors in diagnosing breast cancer

BioStar — Wed, 01 Jan 2020 22:12:34 -0600

Artificial intelligence is more accurate than doctors in diagnosing breast cancer from mammograms, a study in the journal Nature suggests.

An international team, including researchers from Google Health and Imperial College London, designed and trained a computer model on X-ray images from nearly 29,000 women.

The algorithm outperformed six radiologists in reading mammograms.

AI was still as good as two doctors working together.

Unlike humans, AI is tireless. Experts say it could improve detection. Read More: https://www.bbc.com/news/health-50857759

InfoGenomeR: Integrative reconstruction of cancer genome karyotypes

Jit — Wed, 05 May 2021 01:02:18 -0500

InfoGenomeR is the Integrative Framework for Genome Reconstruction that uses a breakpoint graph to model the connectivity among genomic segments at the genome-wide scale. InfoGenomeR integrates cancer purity and ploidy, total CNAs, allele-specific CNAs, and haplotype information to identify the optimal breakpoint graph representing cancer genomes.

More at https://www.nature.com/articles/s41467-021-22671-6

Address of the bookmark: https://github.com/dmcblab/InfoGenomeR

Genetics for Fun and Profit: Andrew Hessel at TEDxVilnius

Sun, 01 Sep 2013 19:15:06 -0500

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)

Graduate research assistantships @ University of Nebraska-Lincoln (UNL)

Wed, 22 Oct 2014 10:05:31 -0500

Graduate research assistantships in quantitative genetics are available with Gota Morota in the Department of Animal Science at the University of Nebraska-Lincoln (UNL).

Current projects in the Morota lab include developing kernel-based whole-genome prediction and kernel-based genome-wide association models, polygenic modeling of binary traits, reexamining the results from quantitative genetics analysis in light of functional annotation, and extending kernel methods (such as GBLUP and RKHS) specifically tailored for diverse types of emerging omics data.

In addition, candidates will be expected to leverage opportunities to interact with faculty in animal genetics and biometrics at the UNL in the areas of bioinformatics, breeding, functional genomics, quantitative genetics, and molecular genetics.

Candidates should have a B.S. or M.S. degree in quantitative disciplines with strong background and interest in statistical computing.
The starting date is Fall 2015.
For more information about research in the Morota lab at the UNL, visit: http://www.morotalab.org

A letter of interest in the position, C.V., and contact information for
three references should be emailed to Gota Morota at .
Review of applications will begin immediately, and continue until the
positions are filled. Informal inquiries are also welcome.

Also, please see: http://animalscience.unl.edu/anscprospectivegraduatestudents

Genetic code - Amino Acid

Poonam Mahapatra — Sun, 26 Oct 2014 07:45:58 -0500

The genetic code consists of 64 triplets of nucleotides. These triplets are called codons.With three exceptions, each codon encodes for one of the 20 amino acids used in the synthesis of proteins. That produces some redundancy in the code: most of the amino acids being encoded by more than one codon.

The image summarise all in one.

More at http://users.rcn.com/jkimball.ma.ultranet/BiologyPages/C/Codons.html