BOL: Related items

Picard

Neel — Fri, 29 Apr 2016 08:21:54 -0500

Picard is a set of command line tools for manipulating high-throughput sequencing (HTS) data and formats such as SAM/BAM/CRAM and VCF. These file formats are defined in the Hts-specs repository. See especially the SAM specification and the VCF specification.

Note that the information on this page is targeted at end-users. For developers, the source code, building instructions and implementation/development resources are available on GitHub.

The Picard toolkit is open-source under the MIT license and free for all uses.

Enjoy!

Address of the bookmark: http://broadinstitute.github.io/picard/

Post-Doctoral Fellow Jobs opportunity in SRM University

Thu, 17 Mar 2016 11:20:14 -0500

Post-Doctoral Fellow Jobs opportunity in SRM University

Essential qualification : Ph.D. in Bioinformatics/Biotechnology/Genetics/Computational Biology.Understanding of genomics data and advanced knowledge of Java, and C/C++ as the programming languages and the scripting language like perl and/or Python, SQL is preferred. Experience in High Performance Computing, data architecture, database development is desirable

Fellowship: Rs 35,000 /-

How to apply

Candidates are requested to send their CV, and a brief summary of research experience by e-mail careers.genetics@ktr.srmuniv.ac.in on or before 30/03/2016.

More at http://www.srmuniv.ac.in/jobs-applications-for-position-of-post-doctoral-fellow

SRF at NRCPB, New Deslhi

Fri, 25 Mar 2016 04:53:11 -0500

NRCPB Recruitment 2016 – Walk in for SRF & Young Professional Posts: National Research Centre on Plant Biotechnology (NRCPB) has announced a notification for the recruitment of Senior Research Fellow & Young Professional Scheme vacancies for the project “NPTC Co-ordinating Cell” on temporary & co-terminus basis. Eligible candidates may walk in interview on 29-03-2016 at 10.00 AM. Other details like age limit, educational qualification, selection process & how to apply are given below…

NRCPB Vacancy Details:
Total No.of Posts: 02
Name of the Posts:
1. Senior Research Fellow: 01 Post
2. Young Professional Scheme: 01 Post

Age Limit: Candidates maximum age should be 35 years. Age relaxation 5 years for SC/ ST/ OBC and women candidates as per ICAR rules.

Educational Qualification: Candidates should posses M.Sc/ M.Tech/ M.C.A. in Molecular Biology/ Biotechnology/ Life Sciences/ Allied Sciences/ Agricultural Sciences/ Computer Science/ Bioinformatics with 1st division or 60% marks or equivalent.

Selection Process: Candidates will be selected based on interview.

How to Apply: Eligible candidates may attend the interview along with four copies of biodata, original certificates, attested photocopies of each of the certificates and an attested copy of recent passport size photograph at NRCPB, LBS Building, Pusa Campus, New Delhi- 110012 on 29-03-2016 at 10.00 AM.

Important Dates:
Date & Time of Interview: 29-03-2016 at 10.00 AM.
Venue: NRCPB, LBS Building, Pusa Campus, New Delhi-110012.

Read more: http://www.nrcpb.res.in/content/walk-interview-srf-and-yp

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/

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/