Jr Research Fellow Posts At Rajiv Gandhi Centre for Biotechnology
Rajiv Gandhi Centre for Biotechnology (RGCB) invites applications to recruit on vacant posts of Junior Research Fellow (JRF). Applications against these Government Jobs can be submitted on or before 15 August 2015.

Rajiv Gandhi Centre for Biotechnology Vacancy 2015 Details
Name of the post – Junior Research Fellow (JRF)
Total vacancies –

Age Limit: Below 28 years as on 15-08-2015.

Qualification(s): Masters Degree in Life Sciences/Biotechnology/Bioinformatics.

How to Apply: Duly filled-in applications in prescribed application format along with copies of required documents should be reach to: Rajiv Gandhi Centre for Biotechnology Thycaud PO, Poojappura, Thiruvananthapuram – 695014, Kerala.

More at http://rgcb.res.in/temporary-position-available-10/

More at https://dahak-metagenomics.github.io/dahak/

Address of the bookmark: https://github.com/dahak-metagenomics/dahak

Requirement of Senior Research Fellow Applications are invited for the following vacancy under Research project entitled “Exploiting temporal transcription profile, computational analysis and post-transcriptional gene silencing to identify and intercept interactions between host and dormant and actively replicating Mycobacterium tuberculosis”

Senior Research Fellow One

M.Sc. Degree in Biotechnology/ /Microbiology/Bioinformatics and 2 years research experience in the relevant field NET/GATE Qualification with at least 2 years research experience in M. tuberculosis culture and related techniques as well as transcriptome data generation and analysis.

1 year

1. Age relaxation for SC/ST/OBC/PH Candidates will be as per the government rules.

2. Qualification/degree should be from a reputed Institution/University.

3. Mere fulfilling the essential qualification/experience does not guarantee selection.

4. Canvassing in any form will be a disqualification.

5. No TA/DA will be paid either for attending the interview or joining the post.

Interested candidates are to submit their Curriculum Vitae by 5 PM on 17th August, 2015 to Room No.107, Department of Biotechnology, AIIMS, New Delhi-29.

Only shortlisted candidates will be notified by email for interview

Advertisement:

www.aiims.edu/images/pdf/recruitment/advertisement/advertisement%20of%20SRF_N1306.pdf

Reference:

https://www.pacb.com/blog/young-investigators-share-stellar-science-career-advice-and-bioinformatics-tools-at-smrt-leiden-2021/

Experts from India and Japan in this fields will deliver lectures and contribute in discussions. This will provide an opportunity to the participants to interact and learn.

Topics:

Algorithms for biomolecular Sequences / Structures
Bioinformatics databases and tools
High performance computing
Large scale data analysis
Protein function
Structure based drug design
Applications to specific diseases

More at http://www.iitm.ac.in/bioinfo/Symposium-2015/index.html

Variant calling and/or genotyping

• DiscoSNP++ and discoSnpRAD: Reference-free small variant discovery (SNPs and indels)
• MindTheGap: Detection and assembly of large insertion variants
• TakeABreak: reference-free inversion discovery tool
• SVJedi: Structural Variant genotyper with long read data
• SVJedi-graph: Structural Variant genotyper with long read data using a variation graph

Sequence assembly

• MinYS: reference-guided genome assembly in metagenomics data
• MTG-link: local assembly tool for linked-read data
• Minia: De novo short read assembler
• de-novo pipeline: de-novo assembly pipeline (error correction / contigs / scaffolding) for genomes and meta-genomes
• Mapsembler2: Targeted assembly (not maintained)

Managing k-mers & indexation

• findere: simple strategy for speeding up queries and for reducing false positive calls from any Approximate Membership Query data structure.
  • fimpera extends findere adding the abundance information.
• kmtricks: modular tool suite for counting kmers, and constructing Bloom filters or kmer matrices, for large collections of sequencing data.
• kmindex is a tool for indexing and querying sequencing samples. It is built on top of kmtricks.
• back to sequences: Find sequences (reads, unitigs, genes) related to a set of kmers in large datasets, in a matter of seconds.
• Backpack Quotient Filter: k-mer indexing data structure with abundance
• short read connector: Detect similar reads from potentially large read set
• DSK: Count K-mer in sequences

Pangenome graph manipulation

• Pancat: Pangenome Comparison and Analysis Toolkit
• GFAGraphs: a Python library to handle pangenome graph files in GFA format.

Comparative metagenomics with k-mers

• Simka and SimkaMin: Comparative metagenomics for large-scale datasets
• Comparead & Commet: comparison of metagenomic datasets

Species and bacterial strains identification

• ORI: software using long nanopore reads to identify bacteria present in a sample at the strain level
• StrainFLAIR: STRAIN-level proFiLing using vArIation gRaph

General-purpose sequencing data manipulation

• GASSST: long read mapper
• Leon: short read compressor (now included in GATB-core)
• Bloocoo: short read corrector
• BCALM: Construct compacted de Bruijn graphs (unitigs)

 Protein Structure

• A_Purva: Contact Map Overlap solver
• MD-Jeep: Distance Geometry solver
• CSA: Comparative Structural Alignment

Workflow

• SLICEE: parallel execution of bioinformatics workflows

Comparative Genomics

• CASSIS: detection of rearrangement breakpoints
• PLAST: intensive bank-to-bank sequence comparison
• DRJBreakpointFinder: detection and precise localization of excision sites in proviral segments

A: He was getting too Sassy.

What did the bioinformatician say when he found out his team stopped using version control?

A: Y’all better Git!

Why did the computational biologist stay home from work?

A: He had a code!

Why was the bioinformatician's paper was rejected?

A: Journal thought it seemed scripted.

How can you tell that a Bioinformatics is working?

A: You can hear him Grunting!

Why bioinformatician always silence?

A: Because bioinformatician calmly whisper, “SSH”

Why was the bioinformatician always so sleepy?

A: He/She wasn’t given any Java.

Why did the program/software hanged?

A: Because genome float.

Why was the class upset that its parent died?

A: Because it wouldn’t be getting the inheritance!

Why did bioinformatician always works on the command line?

A: Because they don't want to scare you with huge amount of data!

Why did the bioinformatician attend the gay pride parade?

A: They supported polymorphism.

Why did bioinformatician prefer awk, PerlOneliner?

A: Because even computer can't handle to load the data.

Why don’t bioinformatician get along with others?

A: They’re too MEAN.

Why computational biologist are cool?

A: Because they are scripted!!

Why they talk $ unzip; strip; touch; finger; grep; mount; fsck; more; yes; fsck; fsck; umount; clean; sleep;

A: Ah, Ohhh, dude, these are *NIX commands

Did they really hack genome?

A: Yes, I guess so.

CDSA is pleased to announce a 4 days hands-on training program on “Essentials of Statistics and Data Analysis using R” at ICGEB, Aruna Asaf Ali Road, New Delhi on December 1 – 4, 2015. This will involve developing and enhancing skills to understand basic principles of statistics for summarizing data and use of appropriate statistical tests as well as providing an understanding of data analysis using R. Didactic lectures with practical sessions will be delivered by experienced faculties from AIIMS and Novartis. Live classroom with power point presentations, case studies, mock exercise, practical sessions on R, group work with time for discussion and Q&A sessions are added advantages of this workshop.

Please contact gayatrivishwakarma.cdsa@thsti.res.in or vineetabaloni.cdsa@thsti.res.in for program and registration details.

Please nominate personage or register yourself on or before November 6, 2015 along with the electronic transfer of registration fee.

Staff Scientists

Specialization: Applicant should have a Ph.D. with excellent academic credentials along with the track record of scientific productivity evidenced by publications/patents/products in the frontier areas of Plant Biology such as, Computational Biology, Genome Analysis and Molecular Mapping, Molecular Mechanism of Abiotic Stress Responses, Nutritional Genomics, Plant Development and Architecture, Plant Immunity, Molecular Breeding, Transgenics for crop improvement and other emerging areas based on plant genomics.

Remuneration: The length of experience and scientific accomplishments/quality of scientific productivity record will be major factors in deciding the level of appointment as Staff Scientist as well as starting salary in the Pay Bands of Rs 15,600-39,100 (with grade pay of 5400), and Rs 37,400-67,000 (with grade pay of 8,700 and 8,900) plus usual allowances admissible to the Central Government employees. However, NIPGR reserves the right to select candidates in the lower grade against the foregoing posts depending upon the qualifications and experience of the candidate. Reservation of posts shall be as per Govt. of India norms. Five posts (SC-2, ST-1, OBC-2) in the Pay Band of Rs 15,600-39,100 with Grade Pay of Rs 5400, are reserved.

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

Apply online at http://www.nipgr.res.in/nipgr_recu/nipgr_recu.php

Form http://www.nipgr.res.in/files/careers/Application_Performa_2015.doc

 http://metapred2cs.ibers.aber.ac.uk/

Address of the bookmark: https://github.com/martinjvickers/MetaPred2CS