BOL: Related items

Kraken: ultrafast metagenomic sequence classification using exact alignments

Jit — Mon, 27 Jun 2016 11:01:44 -0500

Kraken is an ultrafast and highly accurate program for assigning taxonomic labels to metagenomic DNA sequences. Previous programs designed for this task have been relatively slow and computationally expensive, forcing researchers to use faster abundance estimation programs, which only classify small subsets of metagenomic data. Using exact alignment of k-mers, Kraken achieves classification accuracy comparable to the fastest BLAST program. In its fastest mode, Kraken classifies 100 base pair reads at a rate of over 4.1 million reads per minute, 909 times faster than Megablast and 11 times faster than the abundance estimation program MetaPhlAn. Kraken is available at http://ccb.jhu.edu/software/kraken/.

Krona

https://sourceforge.net/p/krona/home/krona/

Address of the bookmark: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053813/

NIPGR Hires Research Associate, JRF, Laboratory Assistant

Mon, 04 Jul 2016 20:12:14 -0500

National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg - Delhi, Delhi
₹15,000 a month
National Institute of Plant Genome Research (NIPGR) invites applications to recruit on vacant posts of Research Associate (RA), Junior Research Fellow (JRF) and Laboratory Assistant. Applications against these Sarkari Naukri can be submitted on or before 16 July 2016.
NIPGR Vacancy 2016 Details
1. Research Associate (RA)
Qualification: Ph.D. degree (awarded) in Molecular Biology/Biotechnolgy/Biochemistry/Plant Science/ Life Sciences/Bioinformatics or related field with 03 years post-doctoral research experience or 02 research papers in the journals of International repute are eligible to apply. Experience in the area of functional genomics, proteomics, metabolomics, multiomics and system biology will be preferred.
Age Limit: As Per Rules
2. Junior Research Fellow (JRF)
Qualification: M.Sc. degree or equivalent in Biotechnolgy/Biochemistry/Plant Science or Botany/ Life Sciences/Bioinformatics/ Molecular Biology or any other related field. Experience in advanced multiomics, big data analysis, molecular and system biology techniques will be given preference.
Age Limit: As Per Rules
3. Laboratory Assistant
Qualification: B.Sc. degree with 05 years working experience in government R&D Laboratory assisting in the field of molecular biology and genomis.
Pay Scale: Rs.15000/- Per Month
Age Limit: As Per Rules
How to Apply : Duly filled-in applications in prescribed application format along with copies of required documents should be reach to: Dr. Subhra Chakraborty, Staff Scientist-VII, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, P.O. Box NO. 10531, New Delhi – 110067 . The Last Date to submit application is 16 July 2016

Source: http://www.nipgr.res.in/careers/vacancies_latest.php#
Form at http://www.nipgr.res.in/files/careers/format_RA_JRF_LA.doc

CAMSA :: a tool for Comparative Analysis and Merging of Scaffold Assemblies

Rahul Nayak — Thu, 28 Dec 2017 09:10:26 -0600

CAMSA – is a tool for Comparative Analysis and Merging of Scaffold Assemblies, distributed both as a standalone software package and as Python library under the MIT license.

Main features:

works with any number of scaffold assemblies in de-novo non-progressive fashion
allows to simultaneously work with scaffold assemblies obtained from any in silico and in vitro techniques, supporting multiple existing formats via built-in converters
creates an extensive report with several comparative quality metrics (both on assembly level and on the level of individual assembly points)
constructs a merged combined scaffold assembly
provides an interactive framework for a visual comparative analysis of the given assemblies

Address of the bookmark: https://cblab.org/camsa/

RA Bioinformatics at National Bureau of Fish Genetic Resources

Mon, 25 Jul 2016 03:14:06 -0500

F.No. 1(16)/2016-Admn. (DBT-BBSRC Project)
Research Associate /JRF Biotechnology Job vacancies in National Bureau of Fish Genetic Resources on contract basis

Research Associate /01 Post

Essential: Ph.D. in Bioinformatics or 03 years research experience after Post Graduation in Bioinformatics with at least one research paper in Science Citation Indexed (SCI) journals.

Desirable: The candidate should have at least 1st Division during Graduation and Post Graduation. Experience in assembly/ analysis/ annotation of genomic/transcriptomic data generated on next generation sequencing platforms and working knowledge on different genomic softwares. Publications in Relevant Field.

Pay Scale : Rs. 36,000/- +20% HRA

Age: 40 years for male and 45 years for female candidates, as on the date of interview

Junior Research Fellow/ 01

Essential: Master Degree in Biotechnology/Life Science with Specialization in Molecular Biology with NET qualification.

Desirable: Research Experience in Molecular Biology. 1st Division during Graduation as well as Post Graduation. Publications in Relevant Field.

Pay Scale: Rs. 25,000/-+ 20% HRA for 1st and 2nd year and Rs. 28,000/-+ 20% HRA for 3rd year

Age: 35 years for male and 40 years for female candidates, as on the date of interview.
How to apply
A walk-in-interview will be held on 26.07.2016 at 10:00 hrs. at ICAR-National Bureau of Fish Genetic Resources, Lucknow.

More at http://www.nbfgr.res.in/Recruitments.aspx

RNA-seq Analysis Workshop Course Materials

Jit — Tue, 03 Jul 2018 08:14:14 -0500

RNAseq can be roughly divided into two "types": Reference genome-based - an assembled genome exists for a species for which an RNAseq experiment is performed. It allows reads to be aligned against the reference genome and significantly improves our ability to reconstruct transcripts. This category would obviously include humans and most model organisms but excludes the majority of truly biologically intereting species (e.g., Hyacinth macaw); Reference genome-free - no genome assembly for the species of interest is available. In this case one would need to assemble the reads into transcripts using de novo approaches. This type of RNAseq is as much of an art as well as science because assembly is heavily parameter-dependent and difficult to do well. In this lesson we will focus on the Reference genome-based type of RNA seq. http://chagall.med.cornell.edu/RNASEQcourse/

Address of the bookmark: http://chagall.med.cornell.edu/RNASEQcourse/

EMBOSS Apps

Jit — Wed, 27 Jul 2016 06:00:41 -0500

The programs are listed in alphabetical order, Look at the individual applications or go to the GROUPS page to search by category.

EMBASSY applications are described in separate documentation for each package.

Applications in the current release

Address of the bookmark: http://emboss.sourceforge.net/apps/release/6.6/emboss/apps/

GWASpro: A High-Performance Genome-Wide Association Analysis Server

Rahul Nayak — Fri, 07 Dec 2018 08:04:57 -0600

GWASpro supports building complex design matrices, by which complex experimental designs that may include replications, treatments, locations and times, can be accounted for in the linear mixed model (LMM). GWASpro is optimized to handle GWAS data that may consist of up to 10 million markers and 10,000 samples from replicable lines or hybrids. GWASpro provides an interface that significantly reduces the learning curve for new GWAS investigators.

Address of the bookmark: https://bioinfo.noble.org/GWASPRO/

SRF and JRF Bioinformatics at Tezpur University, Napaam

Wed, 03 Aug 2016 03:47:38 -0500

Applications are invited for the following temporary positions unde MHRD sponsored Centre of Excellence
in the Department of Computer Science and Engineering (CSE), Tezpur University

Qualification
and Experience : Senior Research Fellow (SRF) and JRF : First Class in M.E/M.Tech in CSE/IT/ECE with research
experience in relevant fields of research (Candidates having valid GATE/NET Score would be preferred).

Fellowship: Rs. 18,000/- per month (fixed)

Duration : 2 (Two) years and may be extended
depending on status of the project

Age Limit: Candidates should not be more than 32 years of
age in case of SRF and 28 years of age in case of JRF and TA. Upper age limit may be relaxed up to 5
years in the case of candidate belonging to SC/ ST/ OBC/ Women/ Differently abled.

How to Apply:
Interested candidates may send their application on plain paper by post along with his/her educational
qualifications, research experience certificates (for SRF), 02 copies of recent passport/stamp size photographs
and contact phone number to Professor D.K Bhattacharyya, Principal Investigator, Department of Computer
Science & Engineering, Tezpur University, Napaam – 784 028, or mail it to dkb@tezu.ernet.in
(or to smh@tezu.ernet.in) within 15 days of publication of this advertisement.

No TA/DA shall
be paid for attending the interview.

For more details: http://www.tezu.ernet.in/ProjectWalkin/Advt-DoRD-CSE-DKB-20-225-6779-A.pdf

WALK-IN INTERVIEW @ JIPMER

Mon, 05 Sep 2016 04:01:13 -0500

Department of Preventive and Social Medicine
, JIPMER, Puducherry –605006

WALK-IN INTERVIEW

JIP/PSM/INDO-US TB/ 2016/

Walk-in-interview for the following vacant posts funded by Department of Biotechnology, Govt.of India for the project entitled “Biomarkers for Risk of Tuberculosis and for Tuberculosis Treatment Failure and Relapse” in the Department of Preventive & Social Medicine, JIPMER, Puducherry.

3. Technical Assistant

MCA/ MSc in Biostatistics/ MSc in Computational Biology from any recognized University @ Rs.23,220 1

Interested candidates may attend the walk-in interview with written screening test on 07, September 2016 at 9.30 A.M in the Dept. of Preventive and Social Medicine, IV Floor, Administrative Block, JIPMER.

The applicants are requested to bring the filled in application form and bio-data with original certificates for verification.

More Info: http://jipmer.edu.in/wp-content/uploads/2016/09/RECRUITEMENTsite-protocol-7.9.2016.pdf

Bactopia: a Flexible Pipeline for Complete Analysis of Bacterial Genomes

Abhi — Wed, 15 May 2024 14:36:12 -0500

Bactopia is a flexible pipeline for complete analysis of bacterial genomes. The goal of Bactopia is to process your data with a broad set of tools, so that you can get to the fun part of analyses quicker!

Bactopia can be split into two main parts: Bactopia Analysis Pipeline, and Bactopia Tools.

Bactopia Analysis Pipeline is the main per-isolate workflow in Bactopia. Built with Nextflow, input FASTQs (local or available from SRA/ENA) are put through numerous analyses including: quality control, assembly, annotation, minmer sketch queries, sequence typing, and more.

Bactopia Tools are a set a independent workflows fo

Address of the bookmark: https://github.com/bactopia/bactopia