(1) identifying and estimating surrogate variables for unknown sources of variation in high-throughput experiments (Leek and Storey 2007 PLoS Genetics,2008 PNAS),

(2) directly removing known batch effects using ComBat (Johnson et al. 2007 Biostatistics) and

(3) removing batch effects with known control probes (Leek 2014 biorXiv).

Removing batch effects and using surrogate variables in differential expression analysis have been shown to reduce dependence, stabilize error rate estimates, and improve reproducibility, see (Leek and Storey 2007 PLoS Genetics, 2008 PNAS or Leek et al. 2011 Nat. Reviews Genetics).

More at http://www.bioconductor.org/packages/release/bioc/html/sva.html

Circular plots are useful to represent complicated informations. They are used in 2 specific cases: when you have long axis and numerous categories, and when you want to show relationships between elements. The circos gallery displays several examples of circular plots, what gives a nice overview of the possibilities. Circos is the most famous

http://www.r-graph-gallery.com/portfolio/circular-plot/

Address of the bookmark: http://www.r-graph-gallery.com/portfolio/circular-plot/

No of post : 01
Essential qualifications: i) Ph. D degree in Bioinformatics/computers/Bio-technology. OR ii) Master’s Degree in Bioinformatics/computers/Bio-technology with 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience as evidenced from fellowship/Associateship/training/other engagements.
Desirable qualifications: i) Working Knowledge and Published Research papers in Bio-informatics.
Monthly emoluments : Rs. 23,000/- + HRA . for M.Sc degree holder Rs. 24,000/- + HRA for Ph.D degree holder
Maximum Age limit : Research Associate – Males- 40 years & Women 45 years.
SELECTION PROCEDURE FOR CENTRAL POTATO RESEARCH INSTITUTE (CPRI) – RESEARCH ASSOCIATE POST:

Written Test on 20/03/2015.
Shortlisted candidates will undertake face to face interview.
Dates are yet to be announced for the final selection
WALK-IN PROCEDURE FOR RESEARCH ASSOCIATE VACANCY IN CENTRAL POTATO RESEARCH INSTITUTE (CPRI):

Interested/eligible candidates should submit their application along with the attested copies of educational qualification (provisional degree of Masters and Ph.D is mandatory )/experience certificates and one passport size photograph to the Asstt. Admn. Officer(E-I), CPRI, Shimla-171001 at 9.30 AM on the date of interview. The candidates appearing for interview must bring original certificate with them and only those candidates possessing essential qualification as per advertisement will be interviewed. The Director, CPRI, Shimla reserves the right either to fill up the post or cancel the interview without assigning any reasons thereof. Application form is available in the website ( website: http//cpri.ernet.in). No TA/DA will be given by the Institute to the candidates. The Institute is located at Bemloe which is about 2 Kms from Main Bus Stand(Old)/3 Kms. from the Railway Station and about 5 Kms. from ISBT (Tutikandi).

However, nanopore sequencing is an emerging and rapidly developing technology. It is not clear what will be most informative. We hope that IONiseR will provide a framework for visualisation of metrics that we haven’t thought of, and welcome feedback at mike.smith@embl.de.

If you’re not interested in the quality assement of the raw or event level data, and want to jump straight to the getting FASTQ format files from fast5 files you can go straight to the final section of this document.

Address of the bookmark: https://www.bioconductor.org/packages/devel/bioc/vignettes/IONiseR/inst/doc/IONiseR.html

PRINCIPAL SCIENTIST Pay Band: Minimum pay of `43,000 in the PB-4 of `37400-67000/- + RGP of `10,000/-.

Age: The candidates must not have attained the age of 52 years as on 24.03.2015. There shall be no age limit for the Council’s employees.

ICAR-NATIONAL INSTITUTE OF BIOTIC STRESS MANAGEMENT, RAIPUR (CHHATTISGARH)

57. Principal Scientist (Agricultural Entomology) (Two post)

Qualifications Essential:

(i) Doctoral degree in Agricultural Entomology including relevant basic sciences.

(ii) 10 years experience in the relevant subject out of which at least 8 years should be as Scientist/ Lecturer/Extension Specialist or in an equivalent position in the Pay Band- 3 of `15600-39100 with Grade Pay of `5400/`6000/`7000/`8000 and 2 years as a Senior Scientist or in an equivalent position in the Pay Band- 4 of ` 37400-67000 with Grade Pay of ` 8700/ ` 9000.

(iii) The candidate should have made contribution to research/teaching/extension education as evidenced by published work/innovations and impact.

Desirable:

(i) Experience of using frontiers research tools in management of insect pests of crop plants.

(ii) Evidence of contributions to relevant field through publications/ patents/citation index to suggest a vision/perspective in biotic stress research.

61. Principal Scientist (Bioinformatics) (One post)

Qualifications Essential:

(i) Doctoral degree in Bioinformatics including relevant basic sciences. (ii) & (iii) As in item no. 57 above.

Desirable:

(i) Experience of using bioinformatics for advancement of knowledge and for research on biotic stress management.

(ii) Evidence of contributions to relevant field through publications/patents/citation index to suggest a vision/perspective in biotic stress research.

http://asrb.org.in/administrator/uploads_dir/1424859407english.pdf

Address of the bookmark: http://christophergandrud.github.io/d3Network/

ICAR-NPTC: Fibre development in flax/linseed.

(Job # 1) Research Associate (one) (Bioinformatics)

Rs.24000+ 30% HRA) for Ph.D. and for M. Sc Rs.23000/‐ (+ 30% HRA)

Ph.D. Degree in Bioinformatics/Molecular Biology/Biotechnology/ Genetics/allied sciences; or M. Sc in Bioinformatics/ Biotechnology/Life Sciences/ allied sciences with 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience as evidenced from Fellowship/ Associate ship. 2 years research experience in bioinformatic data analysis/molecular biology techniques, and high throughput DNA/RNA sequencing, and transcriptome data analysis. Research paper with IF>1 will be desirable

ICAR-NPTC: Shade avoidance/low-light tolerance in rice.

General Terms & Conditions applicable to all the positions:
Age Limit: 35 years max. (5 years relaxation for SC/ST/OBC and woman candidates as per ICAR rules).
The positions are purely temporary, on a contractual basis and are initially offered for one year.
Originals must be shown for verification. 7. Research experience (Experience certificate from previous employer to be attached): I hereby declare that the information provided above is true to the best of my knowledge. Date: Signature

Advertisement:

www.nrcpb.org/sites/default/files/ICAR-NPTC%20DBT%20RA%20SRF%20interview%2024th%20March.pdf

What Is Julia Language?

Julia is a programming language that came into the limelight in 2012. It is a general-purpose programming language that was designed for solving scientific computations. Julia was meant to be an alternative to Python, R and other programming languages that were mainly used for manipulating data. This is because it has numerous features that can minimize the complexities of numerical computations. 

Julia optimizes on the best features of Python and R while at the same time overlooks their weaknesses. This explains why it is viewed as an alternative to these programming languages. For instance, it utilizes the readability and simplicity of Python then performs faster.

Julia is the most preferred programming language for data scientists and mathematicians. This is because its core features are similar to the ones that are used on most data software. Also, the language is ideal for these two subjects because its syntax is similar to the standard mathematical formulas.

Key Features Of Julia Language
Uses JIT Compilation
Parallelism
Dynamic Typing
Simple Syntax
Allows Metaprogramming
Accessible to Libraries
-1-Array Indexing

Julia Vs Python And R Programming Languages
1. Speed
Julia is faster than both Python and R. This is a very critical aspect that is given special attention in the big data programming. The high speed of Julia is because of JIT compilers. You will need to install external libraries on Python to achieve similar speed.

2. Syntax
Julia has a math-friendly syntax. The syntax of this programming language is similar to the mathematical formulas hence can be used to perform mathematical and scientific computations. This syntax makes it easier to learn than Python.

3. Parallelism
Although both Python and R use parallelism, Julia uses a top-level parallelism. Julia allows the processor to perform to the optimum level than what Python and R can achieve.

4. Versatility
Julia programming language is more versatile than Python and R. It allows a programmer to move from different codes and functions with ease.

The only area that Python and R are superior to Julia is in terms of community. Given that Julia is a new programming language, it has a small community as compared to others which have been around for years.

In overall Julia programming language is a better alternative that you can use to handle Big data projects. Despite having a small community, it is one of those programming languages that you can easily learn.

A postdoctoral training position is currently available in the Computational and Statistical Genomics Branch (CSGB) of the National Human Genome Research Institute (NHGRI). The position is located in the laboratory of Andy Baxevanis, Ph.D., whose research group uses comparative genomics approaches to better-understand the molecular innovations that drove the surge of diversity in early animal evolution. The overarching theme of Dr. Baxevanis’ research program is focused on how non-traditional animal models convey critical insights into human disease research.

Candidates should have or be close to obtaining a Ph.D. or equivalent degree in bioinformatics, computational biology, computer science, molecular biology, or a closely related field. Candidates with a background in evolutionary biology are particularly encouraged to apply. Programming skills and experience in the application of computational methods to genomic data are highly desirable. Applicants must possess good communication skills and be fluent in both spoken and written English. The ability to learn how to use new software and quickly become expert in its use, critical thinking, problem-solving abilities, and the ability to work semi-independently are required.
How to Apply

Interested applicants should submit a curriculum vitae, a detailed letter of interest, and the names of three potential referees to Dr. Baxevanis at andy@mail.nih.gov.
About Our Organization

The NIH Intramural Research Program is on the Bethesda, Maryland campus and offers a wide array of training opportunities for scientists early in their careers. The funding for this position is stable and offers the trainee wide latitude in the design and pursuit of their research project. The successful candidate will have access to NHGRI’s established and robust bioinformatics infrastructure, as well as resources made available through NIH’s Center for Information Technology (CIT) and the National Center for Biotechnology Information (NCBI).

For more information on CSGB and NHGRI’s Intramural Research Program, please see http://genome.gov/DIR/.

Address of the bookmark: http://www2.decipher.codes/