ESSENTIAL QUALIFICATIONS:
We are looking for a motivated candidate with keen interest in bioinformatics and microbial genome evolution. The candidate must have a Master’s Degree in Bioinformatics, Computational Biology, Computer Science, Microbiology, Biology or a related field with good academic record.

DESIRABLE QUALIFICATIONS
Hands on research experience on handling next generation sequencing data and phylogenetic reconstruction methods. Excellent programming skills (Perl/Python/Java/Php) and experience in working on Unix/Linux platform is preferred. Furthermore; good knowledge is required in statistics (R/Matlab) and the application of bioinformatics analysis tools.

AGE:
Below 28 years as on 15th November, 2016.

EMOLUMENTS:
Rs. 25,000 + 20% HRA for NET/GATE qualified and Post Graduate in Professional Degree course qualified candidates and
Rs. 12,000/- + 20% HRA for others.

DURATION:
Initial appointment will be given for one year and further extension will be based on the performance till termination of the project.
Only those fulfilling the above criteria need apply and will be called for interview. In the event of more than 10 candidates being short-listed by screening the applications, a written test will be conducted before the selection interview and only those who are successful in the written test will be interviewed. No TA/ DA will be given for appearing in the interview.

Suitably qualified candidates may send applications in the prescribed format (Download here) with a photograph, a copy of full resume indicating the percentage of Marks obtained and attested photocopies of credentials & experience to reach the undersigned on or before 15th November, 2016. Envelopes must be superscripted with abbreviated title of the project, advertisement number and job title. Selection to the position will not entitle the candidate to any future positions at RGCB (permanent or otherwise). As with all project positions at RGCB, the position will be co terminus with end of the project.

Please bookmarks your favourate biostatistics books in commend sectons ...

Address of the bookmark: http://www.cos.ufrj.br/~bioestatistica/livros/Introduction%20to%20Biostatistics.pdf

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

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

Mauve has been developed with the idea that a multiple genome aligner should require only modest computational resources. It employs algorithmic techniques that scale well in the lengths of sequences being aligned. For example, a pair of Y. pestis genomes can be aligned in under a minute, while a group of 9 divergent Enterobacterial genomes can be aligned in a few hours. However, the current algorithm’s compute time (progressiveMauve) scales cubically in the number of genomes to align, making it unsuitable for datasets containing more than 50-100 bacterial genomes.

Address of the bookmark: http://darlinglab.org/mauve/mauve.html

Progressive Cactus is a whole-genome alignment package.

Requirements

• git
• gcc 4.2 or newer
• python 2.7
• wget
• 64bit processor and build environment
• 150GB+ of memory on at least one machine when aligning mammal-sized genomes; less memory is needed for smaller genomes.
• Parasol or SGE for cluster support.
• 750M disk space

Instructions

IMPORTANT NOTE: Progressive Cactus does not presently support installation into paths that contain spaces. Until this is resolved, you can use a softlink as a workaround: ln -s "path with spaces" "installation path without spaces"

In the parent directory of where you want Progressive Cactus installed:

git clone git://github.com/glennhickey/progressiveCactus.git
cd progressiveCactus
git pull
git submodule update --init
make

It is also convenient to add the location of progressiveCactus/bin to your PATH environment variable. In order to run the included tools (ex hal2maf) in the submodules/ directory structure, first source progressiveCactus/environment to load the installed environment.

If any errors occur during the build process, you are unlikely to be able to use the tool. Please submit a GitHub issue so we can help out: not only will you help yourself, but others who wish to use the tool as well.

Note that all dependencies are also built and included in the submodules/ directory. This increases the size and build time but greatly simplifies installation and version management. The installation does not create or modify any files outside the progressiveCactus/ directory.

Address of the bookmark: https://github.com/glennhickey/progressiveCactus

Address of the bookmark: https://hpcugent.github.io/easybuild/

Tools

• Parsnp - Core-genome alignment and analysis
• Gingr - Interactive visualization of alignments, trees and variants
• HarvestTools - Archiving and postprocessing

Citation

Treangen TJ, Ondov BD, Koren S, Phillippy AM. The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes. Genome Biology, 15 (11), 1-15 [PDF]

Address of the bookmark: http://harvest.readthedocs.io/en/latest/index.html

Lab https://www.ieo.it/en/RESEARCH/People/Researchers/Pasini-Diego/

• Bioinformatics - RSS feed of current and advance online publications
• Genome Research - current & advance
• Genome Biology - editors picks, latest, most viewed, most forwarded. (Hit the RSS icon under each tab).
• PLoS Genetics - new articles
• PLoS Computational Biology - new articles
• Nature Genetics - current TOC and AOP
• Nature Reviews Genetics - current TOC and AOP

• Bioinformatics
• BMC Bioinformatics
• Briefings in Bioinformatics
• Genome Biology
• Genome Research: current and AOP
• Microbiome
• Nature Genetics, current & AOP
• Nature Reviews Genetics, current & AOP
• Nucleic Acids Research
• PLOS Computational Biology
• PLOS Genetics

Blogs. Some of these blogs are very relevant to bioinfo jobs. Others are more personal interest.

• The OpenHelix Blog
• Ensembl blog
• Galaxy News
• Blue Collar Bioinformatics
• Homologus
• Golden Helix - our 2 SNPs
• Genomics Law Report
• R-bloggers (aggregates feeds from >350 blogs about R)
• Genomes Unzipped
• Jason Moore's Epistasis Blog
• 23andMe - the Spitoon

• Variance Explained: David Robinson’s blog (Data Scientist at Stack Overflow, works in R and Python).
• Global Biodefense: News on pathogens, outbreaks, and preparedness, with periodic posts on genomics and bioinformatics-related developments and funding opportunities.
• In between lines of code: Lex Nederbragt’s blog on biology, sequencing, bioinformatics, …
• Simply Statistics: A statistics blog by Rafa Irizarry, Roger Peng, and Jeff Leek.
• Bits of DNA: Reviews and commentary on computational biology by Lior Pachter (fair warning: dialogue here can get a bit heated!).
• Blue Collar Bioinformatics: articles related tool validation and the open source bioinformatics community.
• Microbiome Digest – Bik’s Picks: A daily digest of scientific microbiome papers, by Elisabeth Bik, Science Editor at uBiome.
• Living in an Ivory Basement: Titus Brown’s blog on metagenomics, open science, testing, reproducibility, and programming.
• Enseqlopedia: James Hadfield’s blog on all things NGS.
• Epistasis Blog: Jason Moore’s computational biology blog.
• RStudio Blog: announcements about new RStudio functionality, updates about the tidyverse, and more.
• nextgenseek.com: Next-Gen Sequencing Blog covering new developments in NGS data & analysis.
• RNA-Seq Blog: Transcriptome Research & Industry News.
• The Allium: We all need a little humor in our lives. Like The Onion, but for science.

Forums.

• Seqanswers - bioinformatics forum
• Seqanswers - RNA-Seq forum
• BioStar
• BOL