BOL: Related items

Heap: a highly sensitive and accurate SNP detection tool for low-coverage high-throughput sequencing data

Jit — Thu, 19 Apr 2018 08:06:03 -0500

Heap, that enables robustly sensitive and accurate calling of SNPs, particularly with a low coverage NGS data, which must be aligned to the reference genome sequences in advance. To reduce false positive SNPs, Heap determines genotypes and calls SNPs at each site except for sites at the both end of reads or containing a minor allele supported by only one read. Performance comparison with existing tools showed that Heap achieved the highest F-scores with low coverage (7X) restriction-site associated DNA sequencing reads of sorghum and rice individuals. This will facilitate cost-effective GWAS and GP studies in this NGS era. Code and documentation of Heap are freely available from https://github.com/meiji-bioinf/heap and our web site (http://bioinf.mind.meiji.ac.jp/lab/en/tools.html).

Address of the bookmark: https://github.com/meiji-bioinf/heap

JRF/SRF at University of Calcutta

Fri, 31 Oct 2014 08:53:10 -0500

Applications are invited to appear at a walk-in-interview for one post of Junior Research Fellow in the DBT(DBT Twinning NER) sponsored project entitled “Protein folding kinetics is a selection force on shaping codon usage bias in the high expression genes” in the room of the HOD, Department of Biotechnology and the Coordinator, DR. B. C. Guha Centre for Genetic Engineering and Biotechnology, University College of Science, 35 Ballygunge Circular Road, Kolkata 700019 on the 12th November, 2014 at 3:00 p.m.

Essential qualifications: First class M. Sc. in any branch of life sciences and qualified CSIR-UGC NET/GATE Examination.

Desirable qualifications: Practical experience in biochemical and biophysical studies of proteins

Emoluments: as per DBT norms

The project is tenable for two years, initially for one year.

Age: Below 28 years (relaxable in the case of SC/ST/OBC/women candidates)

Candidates are requested to bring two sets of complete applications on plain paper furnishing bio-data and copies of attested certificates along with originals (for verification) on the date of interview.

No TA/DA is admissible for candidates appearing at the interview.

Dr. Rajat Banerjee
Assistant Professor
Department of Biotechnology and
Dr. B. C. Guha Centre for Genetic Engineering and Biotechnology
University College of Science
35, Ballygunge Circular Road
Kolkata 700019

Advertisement: www.caluniv.ac.in/news/jrf_biotech_2.pdf

BFC: a standalone high-performance tool for correcting sequencing errors from Illumina sequencing data

Jit — Thu, 31 May 2018 09:35:23 -0500

BFC is a standalone high-performance tool for correcting sequencing errors from Illumina sequencing data. It is specifically designed for high-coverage whole-genome human data, though also performs well for small genomes. The BFC algorithm is a variant of the classical spectrum alignment algorithm introduced by Pevzner et al (2001). It uses an exhaustive search to find a k-mer path through a read that minimizes a heuristic objective function jointly considering penalties on correction, quality and k-mer support. This algorithm was first implemented in my fermi assembler and then refined a few times in fermi, fermi2 and now in BFC. In the k-mer counting phase, BFC uses a blocked bloom filter to filter out most singleton k-mers and keeps the rest in a hash table (Melsted and Pritchard, 2011). The use of bloom filter is how BFC is named, though other correctors such as Lighter and Bless actually rely more on bloom filter than BFC. https://github.com/lh3/bfc

Address of the bookmark: https://github.com/lh3/bfc

JRF in Bioinformatics @ Pondicherry University

Sat, 08 Nov 2014 14:34:48 -0600

Eager to get JRF job in Puducherry? Pondicherry University, School of Life Sciences, Centre for Bioinformatics has issued notification to fill the vacancy of JRF for DST sponsored research project entitled "Design and discovery of aurora kinase inhibitors as anti cancer drugs; application of computer aided drug design". It is good chance to get job with Pondicherry University and secure your future. Learn eligibility criteria and apply on or before 21.11.2014.

Required Skills: no special skills required for this job post
Required Experience:
Experience in computer aided drug design and or biochemical testing of natural or synthetic compounds is desired
Required Education:
M.Sc. / M.Tech.

Required Job Profile:
Candidate must possess M.Sc. in bioinformatics or computational biology or biotechnology or any branch of life sciences or pharmacology or chemical sciences or M.Tech. in any branch of life sciences with at least fifty five percent marks with NET or GATE.

Desired Job Profile:
Candidate having experience in computer aided drug design and or biochemical testing of natural or synthetic compounds.

How to apply:
Eligible and interested candidates should need to appear for walk-in interview on 21.11.2014 at 1700 hrs at the above mentioned address.

Contact
Pondicherry University
Dr. S. Mohane Coumar, Assistant Professor & Project Investigator, Centre for Bioinformatics, Pondicherry University, Puducherry 605 014
Email:registrar@pondiuni.edu.in
Phone: 0413-2655175

More at http://www.pondiuni.edu.in/sites/default/files/JRF-bioinfor-041114.pdf

HiGlass: a tool for exploring genomic contact matrices and tracks.

Jit — Mon, 11 Jun 2018 09:44:49 -0500

HiGlass is a tool for exploring genomic contact matrices and tracks. Please take a look at the examples and documentation for a description of the ways that it can be configured to explore and compare contact matrices. To load private data, HiGlass can be run locally within a Docker container. The HiC data in the examples below is from Rao et al. (2014) http://higlass.io/

Address of the bookmark: http://higlass.io/

PhD opportunity / AiCADD fellowship (MHRD, Govt. of India) of University of Kerala.

Sat, 08 Nov 2014 15:16:24 -0600

No. DCB/DBT-BIF/229 /14-15 07-11-2014

Applications are invited for the AiCADD fellowship (MHRD, Govt. of India) of University of Kerala.

The terms and conditions of the fellowship is given below:

Ø The AiCADD PhD Fellowship scheme will be available for the students registered for full-time research or intending to register and pursue full time research at SIUCEB in frontier areas of bioinformatics, computational biology, systems biology and closely allied areas with focus on Ayur-Informatics.

Ø The fellowships will be widely announced and open to students irrespective of geographical consideration.

Ø Candidates availing of this fellowship shall not be in receipt of any other fellowships concurrently.

Ø Researchers will be selected on the basis of research aptitude test and personal interview.

Ø Each selected student will be eligible for a monthly fellowship of Rs. 10,000/- for the 1st and 2nd year and Rs. 12,000/- for the 3rd year.

Ø Candidates must register for PhD within one year of joining, failing which the fellowship will have to be remitted back.

Ø Candidates receiving the fellowship shall submit bi-annual reports of progress and the continuation of the fellowship will be based on the evaluation of the same.

Ø Candidates are also required to take up academic duties including teaching upto a maximum of 6 hours per week, as directed by AiCADD Principal Investigator.

Interested candidates may please forward their application along with resume on or before 15th November 2014 in the following address. Principal Investigator, AiCADD Centre, Dept. of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram - 695581.

More at https://sites.google.com/site/centreforbioinformatics/announcements

LSC :a long read error correction tool

Jit — Thu, 02 Aug 2018 07:39:46 -0500

Getting Started

These simple steps will help you integrate LSC into your transcriptomics analysis pipeline.

Read the LSC_requirements for running LSC.
Download and set-up the LSC package.
Follow the tutorial to see how LSC works on some example data.
Read the manual if anything is unclear.
You're ready, Happy LSCing!

Latest publication

Kin Fai Au, Jason Underwood, Lawrence Lee and Wing Hung Wong
Improving PacBio Long Read Accuracy by Short Read Alignment [Manuscript]
PLoS ONE 2012. 7(10): e46679. doi:10.1371/journal.pone.0046679

Address of the bookmark: https://www.healthcare.uiowa.edu/labs/au/LSC/

LRCstats: a tool for evaluating long reads correction methods

Aaryan Lokwani — Wed, 22 Aug 2018 11:05:04 -0500

LRCstats is an open-source pipeline for benchmarking DNA long read correction algorithms for long reads outputted by third generation sequencing technology such as machines produced by Pacific Biosciences. The reads produced by third generation sequencing technology, as the name suggests, are longer in length than reads produced by next generation sequencing technologies, such as those produced by Illumina. However, long reads are plagued by high error rates, which can cause issues in downstream analysis. Long read correction algorithms reduce the error rate of long reads either through self-correcting methods or using accurate, short reads outputted by next generation sequencing technologies to correct long reads.

Address of the bookmark: https://github.com/cchauve/lrcstats

GRSR: a tool for deriving genome rearrangement scenarios from multiple unichromosomal genome sequences

Jit — Fri, 28 Sep 2018 09:35:10 -0500

GRSR is a Tool for Deriving Genome Rearrangement Scenarios for Multiple Uni-chromosomal Genomes. This tool will do the following steps:

Step 1. Run mugsy to get multiple sequence alignment results.
Step 2 & 3. Extraction of the Coordinates of Core Blocks, Construction of Synteny Blocks and Generating Signed Permutations.
Step 4. Generate pairwise genome rearrangement scenarios and find repeats at the breakpoints of each rearrangement events.

https://github.com/DanwangJessica/GRSR

Address of the bookmark: https://github.com/DanwangJessica/GRSR

SAU Bioinformatics/Plant Biotech JRF Vacancy

Fri, 12 Dec 2014 21:27:12 -0600

Applications are invited for the post of Junior Research Fellow (JRF) to work on SERB, DST funded project entitled “Genome wide analysis of ascorbate oxidase multi-gene family and elucidating its role in negative regulation of stress response in rice” under the supervision of Dr. Ananda Mustafiz, Faculty of Life Sciences and Biotechnology, South Asian University.

Qualification: Highly motivated M.Sc. (Bioinformatics/ Biotechnology/ Life Sciences/ Botany/ Agriculture) students are encouraged to apply. Prior experience in Bioinformatics/Plant tissue culture work is preferable. Preferences would be given to DBT/ CSIR / UGC NET qualified students.

Application Procedure: A detailed CV indicating name, date of birth, address, contact number, e-mail address, educational qualifications, NET qualified or not, research experiences if any, should be e-mailed to This email address is being protected from spambots. You need JavaScript enabled to view it. on or before 24th December 2014.

Important Note: Only short listed candidates will be called for interview at Akbar Bhawan, Chanakyapuri, New Delhi. No TA/DA will be paid for attending the interview. SAU Selection Committee reserves the rights to relax any of the qualifications in case the candidate is found otherwise well qualified. The above- mentioned post is temporary and will be initially offered for a period of one year, which can be extended to one more year.

Advertisement: www.sau.ac.in/recruitment/vacancy.html