Eligibility

Interested applicants must

Have around 10 years of experience as independent investigator, and can be of any age or nationality
Have Sponsor(s) at not-for-profit Host Institution(s) in India, who is willing to extend the desired commitment and resources for program implementation
Provisions

The 5 year Fellowship provides

Generous personal support for the Fellow
Salary support for personnel, which may include Assistant Professors
Large quantum of funds for equipment, animals and consumables
Funds to attend scientific gatherings, for collaborative visits and to organize meetings
Overheads for the Host Institution
Process

A joint online application is invited from the Applicant and the Sponsor(s). The details of the scheme and the funding mechanism are available on the website at http://wellcomedbt.org/fellowshiptype/margdarshi-fellowships.

Application form can be accessed at https://fellowships.wellcomedbt.org/Login.aspx

Sponsored applications due by 2 May 2016

Send your inquiries to margdarshi@wellcomedbt.org

More at http://www.atgc.org/PhyloGrapher/PhyloGrapher_Welcome.html

Address of the bookmark: http://www.atgc.org/PhyloGrapher/PhyloGrapher_Welcome.html

For students interested in frontier research at the interface of biology, computation, physics and applied mathematics

IMSc is a leader in India in fundamental research in theoretical physics, mathematics and theoretical computer science, with several members actively pursuing research in interdisciplinary areas including computational biology. In 2013 IMSc started a unique Ph.D. programme in this subject, training students to apply cutting-edge computational and mathematical techniques to problems in modern biology, in collaboration with leading biology departments and institutions in India and abroad.
IMSc is an autonomous national research institute under the Department of Atomic Energy, Government of India, and a constituent institution of the Homi Bhabha National Institute (HBNI), Mumbai (a deemed university). Ph.D. degrees will be awarded by HBNI.
STRUCTURE OF PROGRAMME
Before embarking on their research, students have three semesters of coursework, which consists of seven core courses, to be carried out at IMSc; elective courses, which may be taken at IMSc or at other institutions by mutual consent; and lab rotations, at collaborating labs in other institutions. The core coursework covers essentials of modern biology, essential techniques from physics, mathematics, statistics and computer science, physics of proteins and biomolecules, biological sequence analysis and algorithms, and systems biology. Elective coursework covers various topics in greater depth. Following the coursework and a comprehensive examination, students will embark on research leading to a Ph.D. degree.
Selected candidates will be research fellows at IMSc and will receive fellowships, housing or house rent allowance, and contingency grants.

More at http://www.imsc.res.in/graduate_programme_0

Title : “Short-Term Research Fellowship”

Qualification : Candidates having M.Sc./M.Tech degree (with minimum of 60% marks overall) or equivalent in Bioinformatics/Biotechnology or any other related field, are eligible to apply. Candidate having prior experience in the area of next-generation sequencing data analysis, bioinformatics, molecular analysis of plant genes, and structural data analysis will be preferred.

No.of Post : 01
How to apply

Application should sent to Dr. Gitanjali Yadav, Staff Scientist-IV, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, P.O. Box NO. 10531, New Delhi - 110067 on or before 26th April 2016

More at http://www.nipgr.res.in/careers/vacancies_latest.php#

DISCOVAR can call variants on a region by region basis, potentially tiling an entire large genome. DISCOVAR variant calling is under active development and transitioning to VCF.

DISCOVAR de novo can generate de novo assemblies for both large and small genomes. It currently does not call variants.

More at https://www.broadinstitute.org/software/discovar/blog/?page_id=14

Address of the bookmark: https://www.broadinstitute.org/software/discovar/blog/

No. of Post : 01

Qualification : A doctoral (Ph.D). Degree in Bioinformatics OR 1. Master’s degree in Bioinformatics or Computer Sciences having 1st division or 60% marks or equivalent overall grade point with at least two years of research experience as evidenced from Fellowship/ Associate ship. 2. NET or equivalent national level examination qualification is essential for the candidates with 3+2 years (B.Sc.+ M.Sc) pattern. Desirable: Demonstrated experience & skills in database design, management, UNIX OS, HPC environment inbased NGS data analysis. Experience substantiated by publications of high quality will be preferred.

Emoluments : Rs. 40,000 (Ph.D)/ Rs + 30 % HRA; 38,000 (Master’s) Degree + 30 % HRA.
Hiring Process : Walk - In
Job Role: Research/JRF/SRF

Candidates should appear by 10.00 AM on 16.03.2016 for registration with relevant documents in the room B4, Bioinformatics Lab, ICAR.NBPGR. old campus, Inderpuri, New Delhi.

The candidates who wish to attend the walk-in interview are requested to bring with them five copies of the CV (one copy with photograph) as per the format given below. Also, the candidates should bring the original documents such as DOB, degree certificates, marks sheets, publications, thesis, experience certificate etc. for verification.

http://www.nbpgr.ernet.in/Downloadfile.aspx?EntryId=7284

1. Setting up your computing environment
2. Retrieving and storing sequencing files (your own data or from public sources)
3. Checking sequence quality, trimming, general sequence manipulation
4. Mapping reads to a reference genome
5. Manipulating SAM/BAM alignment files
6. Visualizing data in a genome browser

RNA-Seq

1. De novo transcript discovery and differential analysis with Cufflinks
2. Differential expression analysis with R/Bioconductor
3. Clustering of large expression datasets (microarray or RNA-Seq)

Microarray

1. Basic analysis of Affymetrix Gene Expression Arrays using R/Bioconductor

General Tips for Data Analysis

1. Excel workarounds, adding gene annotation, X-Y plots tips, etc.

Address of the bookmark: http://homer.salk.edu/homer/basicTutorial/

Address of the bookmark: http://bioinformatics.ua.pt/software/smash/

More at https://gatb.inria.fr/

Address of the bookmark: https://gatb.inria.fr/

Before you get started be sure to check out:

• devtools Google Group – https://groups.google.com/forum/#!forum/rdevtools
• book on “Advanced R programming” – http://adv-r.had.co.nz/
• GitHub repository – https://github.com/hadley/devtools

Address of the bookmark: https://www.rstudio.com/products/rpackages/devtools/