BOL: Related items

Research Fellow Bioinformatics

Mon, 04 Apr 2016 05:41:21 -0500

Research Fellow Bioinformatics
Eligibility : BSc(Bio-Tech), MSc(Bio-Tech)
Location : Ludhiana
Last Date : 19 Apr 2016
Hiring Process : Walk - In
Punjab Agricultural University

Research Fellow Bioinformatics job opportunities in Punjab Agricultural University
Qualification : B.Sc. with minimum OCPA 5.00/10.00 basis or 50% marks. ii. M.Sc. in Biotechnology/ Molecular Biology/Molecular Genetics/Bioinformatics/Genetics/Plant Breeding/Plant Breeding & Genetics with at least 6.50/10.00 or 65% marks. iii. Ph.D. in the relevant field with minimum OCPA 6.50/10.00 or 65% marks
Pay Scale : Rs.24000/-
Application Fee : A Bank Draft of Rs. 200/- in favour of Comptroller, Punjab Agricultural University, Ludhiana

How to apply
Walk in Interview will be held on 26.09.2016 at 11:30 a.m. in the office of the Director, School of Agricultural Biotechnology. No separate information for interview will be sent. No TA/DA will be paid for attending the interview. Candidate Should apply with detailed bio data to this office latest by 19.04.2016

More at http://web.pau.edu/index.php?_act=manageAllBanner&DO=viewAllBanner

RACA: Reference-Assisted Chromosome Assembly

Priya Singh — Wed, 06 Apr 2016 09:29:50 -0500

Rreference-Assisted Chromosome Assembly (RACA), an algorithm to reliably order and orient sequence scaffolds generated by NGS and assemblers into longer chromosomal fragments using comparative genome information and paired-end reads.

http://www.ncbi.nlm.nih.gov/pubmed/23307812

http://bioen-compbio.bioen.illinois.edu/RACA/

Address of the bookmark: http://bioen-compbio.bioen.illinois.edu/RACA/

REAPR: a universal tool for genome assembly evaluation

Jitendra Prajapati — Wed, 06 Apr 2016 18:26:31 -0500

REAPR is a tool that evaluates the accuracy of a genome assembly using mapped paired end reads, without the use of a reference genome for comparison. It can be used in any stage of an assembly pipeline to automatically break incorrect scaffolds and flag other errors in an assembly for manual inspection. It reports mis-assemblies and other warnings, and produces a new broken assembly based on the error calls.

The software requires as input an assembly in FASTA format and paired reads mapped to the assembly in a BAM file. Mapping information such as the fragment coverage and insert size distribution is analysed to locate mis-assemblies. REAPR works best using mapped read pairs from a large insert library (at least 1000bp). Additionally, if a short insert Illumina library is also available, REAPR can combine this with the large insert library in order to score each base of the assembly.

http://www.sanger.ac.uk/science/tools/reapr

Address of the bookmark: https://genomebiology.biomedcentral.com/articles/10.1186/gb-2013-14-5-r47

Trimmomatic: A flexible read trimming tool for Illumina NGS data

Jit — Fri, 15 Apr 2016 05:58:53 -0500

Paired End:

java -jar trimmomatic-0.35.jar PE -phred33 input_forward.fq.gz input_reverse.fq.gz output_forward_paired.fq.gz output_forward_unpaired.fq.gz output_reverse_paired.fq.gz output_reverse_unpaired.fq.gz ILLUMINACLIP:TruSeq3-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36

This will perform the following:

Remove adapters (ILLUMINACLIP:TruSeq3-PE.fa:2:30:10)
Remove leading low quality or N bases (below quality 3) (LEADING:3)
Remove trailing low quality or N bases (below quality 3) (TRAILING:3)
Scan the read with a 4-base wide sliding window, cutting when the average quality per base drops below 15 (SLIDINGWINDOW:4:15)
Drop reads below the 36 bases long (MINLEN:36)

More at http://www.usadellab.org/cms/?page=trimmomatic

Address of the bookmark: http://www.usadellab.org/cms/?page=trimmomatic

Desai Lab

Thu, 21 Apr 2016 10:21:07 -0500

Evolutionary Dynamics and Population Genetics

Natural selection and other evolutionary forces lead to particular patterns of evolutionary dynamics, and they leave characteristic signatures on the genetic variation within populations. We use a combination of theory and experiments to study the dynamics and population genetics of natural selection in asexual populations such as microbes and viruses.

We use both theory and experiments to study evolutionary dynamics and population genetics, particularly in situations where natural selection is pervasive.

http://desailab.oeb.harvard.edu/home

ALE: a Generic Assembly Likelihood Evaluation Framework for Assessing the Accuracy of Genome and Metagenome Assemblies

Neel — Tue, 26 Apr 2016 03:38:43 -0500

Assembly Likelihood Evaluation (ALE) framework that overcomes these limitations, systematically evaluating the accuracy of an assembly in a reference-independent manner using rigorous statistical methods. This framework is comprehensive, and integrates read quality, mate pair orientation and insert length (for paired-end reads), sequencing coverage, read alignment and k-mer frequency. ALE pinpoints synthetic errors in both single and metagenomic assemblies, including single-base errors, insertions/deletions, genome rearrangements and chimeric assemblies presented in metagenomes. At the genome level with real-world data, ALE identifies three large misassemblies from the Spirochaeta smaragdinae finished genome, which were all independently validated by Pacific Biosciences sequencing. At the single-base level with Illumina data, ALE recovers 215 of 222 (97%) single nucleotide variants in a training set from a GC-rich Rhodobacter sphaeroides genome. Using real Pacific Biosciences data, ALE identifies 12 of 12 synthetic errors in a Lambda Phage genome, surpassing even Pacific Biosciences' own variant caller, EviCons. In summary, the ALE framework provides a comprehensive, reference-independent and statistically rigorous measure of single genome and metagenome assembly accuracy, which can be used to identify misassemblies or to optimize the assembly process.

More at http://www.ncbi.nlm.nih.gov/pubmed/23303509

Address of the bookmark: http://sc932.github.io/ALE/about.html

MEDEA: Comparative Genomic Visualization with Adobe Flash

Jit — Tue, 26 Apr 2016 12:15:16 -0500

As the number of sequence and annotated genomes grows larger, the need to understand, compare, and contrast the data becomes increasingly important. Using the power of the human visual system to detect trends and spot outliers is necessary in such large and complex data sets.

More at http://www.broadinstitute.org/annotation/medea/

Address of the bookmark: http://www.broadinstitute.org/annotation/medea/

RASTtk : algorithm for building custom annotation pipelines and annotating batches of genomes

Abhi — Wed, 27 Apr 2016 11:07:59 -0500

The RAST (Rapid Annotation using Subsystem Technology) annotation engine was built in 2008 to annotate bacterial and archaeal genomes. It works by offering a standard software pipeline for identifying genomic features (i.e., protein-encoding genes and RNA) and annotating their functions. Recently, in order to make RAST a more useful research tool and to keep pace with advancements in bioinformatics, it has become desirable to build a version of RAST that is both customizable and extensible. In this paper, we describe the RAST tool kit (RASTtk), a modular version of RAST that enables researchers to build custom annotation pipelines. RASTtk offers a choice of software for identifying and annotating genomic features as well as the ability to add custom features to an annotation job. RASTtk also accommodates the batch submission of genomes and the ability to customize annotation protocols for batch submissions. This is the first major software restructuring of RAST since its inception.

More at http://www.nature.com/articles/srep08365

Address of the bookmark: http://rast.nmpdr.org/

Bioinformatics National Certification (BINC) Examination 2016

Wed, 11 May 2016 02:17:44 -0500

Bioinformatics National Certification (BINC) Examination 2016

Department of Biotechnology, Government of India, New Delhi & Pondicherry University, Puducherry

Starting of online submission of application : April 13, 2016

Last date for submission of application : May 13, 2016

Examination consists of two parts:

Part - I (Paper - I) : June 12, 2016 (10 AM -12 PM)
Part - II (Paper • II & III) : June 26, 2016 (9 AM • 12 PM & 2 PM • 4 PM)

Objective: Pondicherry University, on behalf of the Department of Biotechnology (DBT),
Government of India, will conduct the Bioinformatics National Certification (BING) examination. The objective of this examination is to identify Bioinformatics professionals
for further studies as well as to help potential employers in recruitment of candidates having exceptionally good Bioinformatics skills.

Eligibility : Bachelor degree in Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences, Agriculture, Veterinary, Medicine, Pharmacy, Engineering and Technology are eligible to appear for the examination. They need not have any formal training, diploma or certificate in Bioinformatics.

Application and syllabus : The online application can be filled from April 13, 2016 to May 13, 2016.

Syllabus for the examination is available online.

It consists of five sections:
Bioinformatics, Biology, Physical and Chemical Sciences, Mathematics & Statistics and Computer Science & Information Technology.

Examination : The examination fee is Rs. 600/- for general candidates, Rs. 400/- for women/OBC candidates and Rs. 200 for SC/ST candidates, and no fee for physically challenged candidates.

The online Part - I (Paper - I) examination is scheduled on June 12,2016 and Part- II (Paper - II and Paper- III) on June 26, 2016. The Paper- I will be of objective type and candidates scoring a minimum of 40% marks in Paper - I will be called to appear in Part II examination.

Part II examination consists of two papers : The Paper - II will be of short answer type questions of three hours duration while the Paper- III will be a practical examination of two hours duration to test analytical ability and programming skill of candidates.

Research Fellowships for all the successful candidates those who are interested and qualified in pursuing Ph.D. in India will be awarded. In addition, cash prizes will be awarded to the top 10 successful candidates.

The details of examination centres, other details and submission of application, please
visit: http://www.pondiuni.edu.in/exams/binc/

BINC 2016

Jit — Wed, 11 May 2016 07:15:03 -0500

Bioinformatics National Certification (BINC) Examination 2016

Department of Biotechnology, Government of India, New Delhi & Pondicherry University, Puducherry

Starting of online submission of application : April 13, 2016

Last date for submission of application : May 13, 2016

Examination consists of two parts:

Part - I (Paper - I) : June 12, 2016 (10 AM -12 PM)
Part - II (Paper • II & III) : June 26, 2016 (9 AM • 12 PM & 2 PM • 4 PM)

Application and syllabus : The online application can be filled from April 13, 2016 to May 13, 2016.

Syllabus for the examination is available online.

It consists of five sections:
Bioinformatics, Biology, Physical and Chemical Sciences, Mathematics & Statistics and Computer Science & Information Technology.

Examination : The examination fee is Rs. 600/- for general candidates, Rs. 400/- for women/OBC candidates and Rs. 200 for SC/ST candidates, and no fee for physically challenged candidates.

The details of examination centres, other details and submission of application, please
visit: http://www.pondiuni.edu.in/exams/binc/