BOL: Related items

Bioinformatics JRF at IISER MOHALI

Thu, 08 Aug 2013 15:56:02 -0500

Applications are invited for a Junior Research Fellow (JRF) in Innovative Young Biotechnologist Award (IYBA) research project funded by Department of Biotechnology (DBT).

The project involves identification and characterization of transcription factors (TFs) from the Arabidopsis shoot apical meristem stem cell niche using genomic approaches and construction of a gene regulatory network for the identified TFs.

Positions: 1

Duration: 1 year but extendable up to three years based on performance and availability of funds.

Emoluments: As per DST rules.

Essential Qualifications: M.Sc. in any branch of life sciences with excellent academic record with CSIR-UGC NET or DBT-JRF. Candidate having previous work experience in the area of bioinformatics, molecular biology and genetics is preferred, but not required.

How to Apply: Applicants are requested to send a cover letter outlining previous research experiences and reasons for joining this position. Please send your complete bio-data including the cover letter as PDF attachment by email to Dr. Ram Yadav at ryadav@iisermohali.ac.in

Last date of submission is 17.00 IST, August 10, 2013.

Advertisement: www.iisermohali.ac.in/project_openings.html#29

RGCB recruitment notification for bioinformatician !

Tue, 25 Aug 2020 00:25:13 -0500

RGCB Jobs 2020: RGCB released the recruitment notification to hire the candidates who completed B.Tech, M.Sc for 01 Bioinformatician Posts. The eligible candidates can apply for the post through online from 22-08-2020 to 08-09-2020. These selected candidates will be placed as Bioinformatician in Kerala. To know more details such as salary (pay scale), age limit, application fee, application process and more for RGCB recruitment 2020 by clicking apply button.
Organization Name : Rajiv Gandhi Centre for Biotechnology
Post Name : Bioinformatician
No of Vacancy : 01 Posts
Salary : Rs.22,000 (Per Month)
Last Date to Apply : 08-09-2020

More at https://rgcb.res.in/jobs.php

List of pharmacogenomics companies in India

Jitendra Narayan — Fri, 09 Aug 2013 13:26:56 -0500

pharmacogenomics companies in India are making their good impacts. Here is the list of few pharmacogenomics companies. Please add more if not mentioned here.

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

Applied Computational Genomics Course at UU: Spring 2020

Shruti Paniwala — Wed, 23 Dec 2020 03:30:44 -0600

This course will provide a comprehensive introduction to fundamental concepts and experimental approaches in the analysis and interpretation of experimental genomics data. It will be structured as a series of lectures covering key concepts and analytical strategies. A diverse range of biological questions enabled by modern DNA sequencing technologies will be explored including sequence alignment, the identification of genetic variation, structural variation, and ChIP-seq and RNA-seq analysis. Students will learn and apply the fundamental data formats and analysis strategies that underlie computational genomics research. The primary goal of the course is for students to be grounded in theory and leave the course empowered to conduct independent genomic analyses.

Address of the bookmark: https://github.com/quinlan-lab/applied-computational-genomics

The Ontario Institute for Cancer Research (OICR) Genomics Lab , Toronto, Canada.

Mon, 12 Aug 2013 01:43:13 -0500

The Human Genome Project led to the development of a wide array of technologies to screen the genome and its products (genes, proteins, metabolites) and molecules that interact with these products (chemicals, RNAi). The existence of these tools resulted in the creation of facilities that use robotics and informatics to generate high-throughput screens of DNA, RNA, protein, tissue, chemicals and other substances.

The genomics platform uses cancer genome sequencing and other high-throughput techniques to identify genes critical to the development of cancer and anomalies in the genomic profile of the tumours.

For more info visit : http://oicr.on.ca/

Fully funded position as PhD Research Fellow in genomics/bioinformatics

Wed, 03 Feb 2021 04:18:57 -0600

A fully funded position as PhD Research Fellow in genomics/bioinformatics is available at the Section for Genetics and Evolutionary Biology (EVOGENE) at the Department of Biosciences, University of Oslo.

The fellowship will be for a period of 3 years, or for a period of 4 years, with 25 % compulsory work (e.g. teaching responsibilities at the department) contingent on the qualifications of the candidate and the teaching needs of the department.

Starting date no later than October 1, 2021.

More at https://www.jobbnorge.no/en/available-jobs/job/199984/phd-research-fellow-in-genomics-and-bioinformatics

AU-KBC Lab

Sun, 15 Sep 2013 09:33:59 -0500

Conducting Clinical Trial Management Course combined with the Apollo Hospitals. Major Research in bioinformatics as Drug Discovery, Functional Genomics, Comparative genomics, Data Mining

More @ http://www.au-kbc.org/

Interactive Bioinformatics Resources !

Jit — Thu, 12 Aug 2021 00:09:00 -0500

Learn how to use bioinformatics tools right from your browser.
Everything runs in a sandbox, so you can experiment all you want.

More at sandbox.bio

Address of the bookmark: http://sandbox.bio

Bioinformatics Training Material !

BioStar — Sat, 18 Mar 2023 11:26:18 -0500

Glittr is a curated list of bioinformatics training material.
All material is:

In a GitHub or GitLab repository
Free to use
Written in markdown or similar

NOTE: This list of courses is selected only based on the above criteria.
There are no checks on quality.

https://glittr.org/?per_page=25&sort_by=stargazers&sort_direction=desc

Address of the bookmark: https://glittr.org/?per_page=25&sort_by=stargazers&sort_direction=desc

Bioinformatics -- Understanding of living systems through information science

Wed, 14 Aug 2013 11:50:17 -0500

Recently, the progress of the Human Genome Project, aiming to decode all human DNA sequences, has highlighted a research field called bioinformatics. In this new field, computers and techniques from information science are not just used as tools to advance life science research; they're expected to have a major impact on how we think about the life sciences. Q. The main feature of bioinformatics is, it utilizes computers to analyze life. One is example is the genome. In all organisms, DNA contains genetic information, and this is called the genome. But the amount of information involved is huge, so recently, it's been read using next-generation sequencers, and analyzed by computers. In bioinformatics research, what we do is utilize those genome information to investigate the principles of life. As an organism evolves, its genome sequence changes through sudden mutations. Additionally, at the genome level, mutations called rearrangements, such as inversions, transpositions, and duplications, occur. The genome comparison system developed by the Sakakibara Lab calculates homologous sequences called anchors, which are conserved between species. If the genome is considered as a long text, then anchors can be thought of as words. Q. We're coming to understand the genomes of various organisms - not just humans, but monkeys, chimpanzees, bacteria, and so on. The first method used to analyze a genome is comparing it with the genomes of other organisms, to see where it's the same and where it's different. In that way, the content of the genome is decoded bit by bit, using computers. By contrast, in our method, we've developed software called Murasaki, which we also use to analyze large genomes, by comparing them with those of other organisms. The Sakakibara Lab uses a next-generation sequencer at Keio University, along with a cluster machine with hundreds of CPUs. In this way, the Lab is analyzing genome mutations that cause cancer, and the genome of the natto production strain Bacillus subtilis. Until now, genome analysis could only be done in national-scale projects. But now, next-generation sequencer development has made genome analysis possible in an ordinary lab. In a world-first achievement, the Sakakibara Lab has decoded the natto bacillus genome, through analysis using Keio's next-generation sequencer. Q. In the future, biology and the life sciences may become almost entirely information science and computer science. And in healthcare, that may enable us, for example, to predict whether individuals are susceptible to cancer, or to certain lifestyle-related diseases, by understanding their personal genome data. So, I think it's amply possible that we can make use of such information effectively, to help people live longer and be free from disease, by thinking about their lifestyle habits. Bioinformatics is only two decades old. In this field, many areas are still unknown. Professor Sakakibara, having been involved since the beginning, will continue tackling new, challenging research projects.