Research Assistant Bioinformatics recruitment in National Institute Of Cancer Prevention & Research (ICMR) on Contract basis
Project entitled: “Next generation EGFR inhibitor identification using ligand based QSAR technique”

Essential: M.Sc. in Bioinformatics or related field. Desirable: Experience in QSAR and structure based drug designing.
Age: 28 years
No.of Post: 1

Pay Scale : Rs.27000

Application format is attached and should be sent by post to Dr. Subhash M Agarwal, Scientist D, Division of Bioinformatics, National Institute of Cancer Prevention & Research (ICMR), Plot No. I-7, Sector-39, Noida 201301 (U.P).

More at http://www.icmr.nic.in/icmrnews/NICPR_Advertisement%20for%20RA.pdf

About Fellowship:
CSIR Nehru Science Postdoctoral Research Fellowship Scheme is an Research Fellowship awarded/given by HRD Ministry, Govt. of India every year to more than 100 fellows.

It was started to identify promising and young researchers with novel ideas and provide them research opportunities in the areas of basic science, engineering, medicine & agriculture.

The fellowship aims at facilitating their transition from mentored to independent research career.

In addition, check these ICTS Research Fellowships:
1.) Max-Planck Partner Group Fellowships 2017-18
2.) ICTS-Simons Postdoctoral Fellowships 2017
3.) ICTS Post Doctoral Fellowships 2017
4.) Airbus Prize Postdoctoral Fellowship 2017-18

Eligibility: To be eligible for this fellowship, you:
1.) PhD degree (within 3 years of award of PhD degree), OR
2.) Those who have submitted PhD theses.
3.) Applicants should have research publications in good impact factor SCI journals.
4.) Indian nationals, Persons of Indian Origin (PIO) & Overseas Citizen of India (OCI), a can also apply.
5.) Maximum Age Limit: 32 years.

Duration:
– 2 Years.
– extendable for a maximum of 1 more year based on performance.

Remuneration:
– Rs. 50,000/- per month plus House Rent Allowance (HRA)
– A contingency grant of Rs. 3.0 lakh per annum.
– 25% of the contingency grant can be used for domestic and international travel.

Mode of Selection: You can apply throughout the year, but selection will be made twice a year, in June and December.

How to Apply:
– Read the instructions, given at Annexure-I in this PDF file.
– And, application form is given as, Annexure-II.
– Fill the form & send it to the given address in the PDF file.

Deadline: Rolling Deadline (Applications accepted throughout the year)

Also See: Research Internship/ Fellowship in India:
1.) IIT Bombay Research Internship Awards Programme 2016-17
2.) IIT Delhi Internship Program 2016-17
3.) DAAD WISE – International Internship in Germany
4.) Summer Research Fellowship Programme| JNCASR Bangalore
5.) Indian Academy of Sciences Summer Internships 2017
6.) Winter Internship – IIT Bombay NPDE-TCA
7.) Viterbi – India Program 2017 | Research Internship in US
8.) Internship – Centre for Stem Cell Research, Vellore

Accommodation & other benefits:
– Accommodation may be provided by CSIR, if available.
– Medical benefits as per CSIR norms.

For more details:
– Check this PDF Notification of Fellowship.
– List of CSIR Labs & their work/activities can be seen at www.csir.res.in.

Address of the bookmark: https://readthedocs.org/projects/bipype/

• velvet (velveth velvetg should be in your PATH)
• R (with Sweave)
• pdflatex (usually part of TeTeX)
• ggplot2 (from R prompt type install.packages("ggplot2","proto","xtable"))
• Perl

Optional:

• BLAT or BLAST (to generate alignments against a reference genome). If using BLAT, add faToTwoBit,gfClient,gfServer to your PATH. If using BLAST, add blastall and formatdb.

Edit permute.sh to your liking, paying particular attention to the kmer, cvCut, expCov, and other flags

To Run:

1. perl fastaAllSize mysequences.fa > mysequences.stat or gunzip -c mysequences.fa.gz | fastaAllSize > mysequences.stat Substitute fastqAllSize for fastq files.
2. ./permute.sh mysequences (leave out the .fa)

https://github.com/leipzig/standardized-velvet-assembly-report

Address of the bookmark: https://github.com/leipzig/standardized-velvet-assembly-report

This project is part of a larger Genome Canada project on genetics and physiology of adaptation to climate change in rainbow trout, and the population genomics component is in the labs of Eric Taylor and Michael Whitlock. The landscape genomics component primarily involves whole genome sequencing approaches to understanding the genomic basis of adaptation to features of habitat, but also to provide insights into phylogeography and the influence of watershed structure on population subdivision in rainbow trout. A PhD in a related field with expertise in basic theory and bioinformatic analysis of population genomics data is required.

The position is available for one year with renewal for up to three additional years. Salary is $55,000 per year plus benefits. To apply, please send a brief cover letter summarizing your qualifications for the position, a CV, and the names, addresses, phone numbers and emails of three references.

Review of applications will begin January 16, 2017. Address application materials to etaylor@zoology.ubc.ca to whom any questions can also be addressed. etaylor@zoology.ubc.ca

Positions available

Applications were invited from for the following posts in an industry sponsored project. The project entitled "OsHK3b technology and Know How", valid for a period upto February, 2018.

Post 3: Senior Research Fellow (Computational Biologist / Metabolic engineering)

Salary: As per DBT rule.

Duration: All the above posts are purely temporary and liable to be terminated at any time without prior notice or ceased/withdrawn by the funding agency.

Age limit: The upper age limit for SRF shall be 32 years, which is relaxed upto 5 years in the case of candidates belonging to Schedule Castes/Schedule Tribes, Women, Physically Handicapped and OBC applicants.

Essential Qualifications: Masters/B Tech/Mtech in Basic Sciences with at least 2yrs of research experience in Bioinformatics/Computational Biology related to Database /portal building & maintenance, high throughput data handling and analysis etc. For M.Sc/B.Tech, Published paper in peer-reviewed Journal and for M.Tech, thesis submission in computational biology is a must. Selection preference will be given to candidates with a good knowledge of Python and/or R. Knowledge of JAVA will also get a special consideration.

Desired Skills: Will be expected to manage ongoing research activities in the project, interact with Experimental group, manage the project data analysis, prepare file reports and associated project work etc. Familiarity with plant systems biology and genomics /metabolite resources related to plant metabolomics is desirable.

1. The post applied for must be clearly written on the Envelope containing the application
2. Applications received after last date shall not be entertained, School will not be responsible for any postal delay.
3. No application will be accepted via hand delivery or via e-mail. Please send printed & signed applications with detailed CV on or before 31st January, 2017 by post to the following address:

Prof. Ashwani Pareek
(Project Investigator)
Stress Physiology and Molecular Biology Laboratory (Room No-413),
School of Life Sciences,
Jawaharlal Nehru University,
New Delhi, India – 110067
Email: ashwanipareek@gmail.com

This tool is a standalone version of Ragout module [http://fenderglass.github./Ragout]

Address of the bookmark: https://github.com/fenderglass/maf2synteny

Pondicherry University, Puducherry has been identified as a nodal agency by the Department of Biotechnology, Govt. of India to coordinate this examination along with nine centres namely,

Pune University, Pune;

Anna University, Chennai;

Bose Institute, Kolkata;

Institute of Bioinformatics & Applied Biotechnology, Bangalore;

North-Eastern Hill University, Shillong, University of Hyderabad, Hyderabad;

University of Kerala, Thiruvananthapuram;

Jawaharlal Nehru University, New Delhi and

Assam Agricultural University, Guwahati. 

In the BINC 2015 and 2016 examination, 23 candidates and five candidates were certified respectively. DBT has agreed to fund Research fellowships for all the BINC qualified Indian nationals to pursue Ph.D. in Indian Institutes/Universities.

Note that the candidate must possess a postgraduate degree(or equivalent) & meet the criteria of the institutes/universities in order to avail research fellowship.

In addition, cash prize of Rs. 10,000/- will be awarded to the top 10 BINC qualifiers.

More at http://www.pondiuni.edu.in/exams/binc/

Address of the bookmark: http://www.isical.ac.in/~bioinfo_miu/FOGSAA.htm

• For each genome, obtain a set of exon annotations. These annotations can be a combination of both exon predictions (e.g. Genscan) and annotations that have been experimentally verified (e.g. RefSeq). Ideally, we would like to have these annotations be as sensitive as possible. Specificity is not a concern, as incorrect annotations are not likely not have significant alignments with other gene annotations.
• Compare all exons against all exons in other genomes and record significant alignments between exons. Currently, we use BLAT to do this all-vs-all comparison with alignments being performed in protein space.
• Construct a graph with each vertex corresponding to a exon and edges between vertices whose corresponding exons have significant alignments.
• Identify cliques in this graph. These cliques are potential anchors to be used in the map.
• Starting with the largest cliques (those that have exons in all or most of the genomes), join neighboring (adjacent in genomic coordinates, in each genome) cliques to form runs. Smaller cliques that are inconsistent with runs formed by larger cliques are filtered out. After the smallest cliques have been considered, cliques that are not part of a run are discarded.
• The extents of each run in each genome are outputted as orthologous segments. The cliques from each run are used to output the exact genomic coordinates of anchors within each orthologous segment. These anchors can be used by genomic alignment programs (such as MAVID) to do a detailed alignment of each orthologous segment.

https://www.biostat.wisc.edu/~cdewey/mercator/

Address of the bookmark: https://www.biostat.wisc.edu/~cdewey/mercator/