BOL: Related items

Libraries or management tools for high throughput sequencing data

LEGE — Fri, 04 Oct 2024 02:45:06 -0500

GATB Library. The Genome Analysis Toolbox with de-Bruijn graph. A large part of tools developed by the GenScale team are based on this library.
These methods enable the analysis of data sets of any size on multi-core desktop computers, including very huge amount of reads data coming from any kind of organisms such as bacteria, plants, animals and even complex samples (e.g. metagenomes). Among them are (the full is available here: https://gatb.inria.fr/software/):
LRez: C++ Library and toolkit for the barcode-based management and indexation of linked-read datasets.

Variant calling and/or genotyping

DiscoSNP++ and discoSnpRAD: Reference-free small variant discovery (SNPs and indels)
MindTheGap: Detection and assembly of large insertion variants
TakeABreak: reference-free inversion discovery tool
SVJedi: Structural Variant genotyper with long read data
SVJedi-graph: Structural Variant genotyper with long read data using a variation graph

Sequence assembly

MinYS: reference-guided genome assembly in metagenomics data
MTG-link: local assembly tool for linked-read data
Minia: De novo short read assembler
de-novo pipeline: de-novo assembly pipeline (error correction / contigs / scaffolding) for genomes and meta-genomes
Mapsembler2: Targeted assembly (not maintained)

Managing k-mers & indexation

findere: simple strategy for speeding up queries and for reducing false positive calls from any Approximate Membership Query data structure.
- fimpera extends findere adding the abundance information.
kmtricks: modular tool suite for counting kmers, and constructing Bloom filters or kmer matrices, for large collections of sequencing data.
kmindex is a tool for indexing and querying sequencing samples. It is built on top of kmtricks.
back to sequences: Find sequences (reads, unitigs, genes) related to a set of kmers in large datasets, in a matter of seconds.
Backpack Quotient Filter: k-mer indexing data structure with abundance
short read connector: Detect similar reads from potentially large read set
DSK: Count K-mer in sequences

Pangenome graph manipulation

Pancat: Pangenome Comparison and Analysis Toolkit
GFAGraphs: a Python library to handle pangenome graph files in GFA format.

Comparative metagenomics with k-mers

Simka and SimkaMin: Comparative metagenomics for large-scale datasets
Comparead & Commet: comparison of metagenomic datasets

Species and bacterial strains identification

ORI: software using long nanopore reads to identify bacteria present in a sample at the strain level
StrainFLAIR: STRAIN-level proFiLing using vArIation gRaph

General-purpose sequencing data manipulation

GASSST: long read mapper
Leon: short read compressor (now included in GATB-core)
Bloocoo: short read corrector
BCALM: Construct compacted de Bruijn graphs (unitigs)

Protein Structure

A_Purva: Contact Map Overlap solver
MD-Jeep: Distance Geometry solver
CSA: Comparative Structural Alignment

Workflow

SLICEE: parallel execution of bioinformatics workflows

Comparative Genomics

CASSIS: detection of rearrangement breakpoints
PLAST: intensive bank-to-bank sequence comparison
DRJBreakpointFinder: detection and precise localization of excision sites in proviral segments

Bioinformatics Project Assistant at Pune University

Tue, 24 Feb 2015 08:15:19 -0600

Pune University Recruitment 2015 – Project Asst Posts: Savitribai Phule Pune University has given a notification for the recruitment of Project Assistant vacancies for the project entitled “Molecular Characterization of Organisms for Therapeutic Applications”. Eligible candidates may apply in prescribed application format on or before 28-02-2015. Other details like educational qualification & how to apply are given below…

Pune University Vacancy Details:
Total No. of Posts: 03
Name of the Post: Project Assistant

Educational Qualification: Candidates should possess M.Sc Degree in Biotechnology/ Biochemistry/ Virology/ Microbiology/ Bioinformatics/ Botany/ Zoology/ Molecular Biology/ Genetics with first class or equivalent GPA with relevant experience.

Selection Process: Shortlisted candidates will be called for interview.

How to Apply: Eligible candidates may send their applications along with detailed biodata with recent passport size photo & self attested copies of relevant documents as mentioned in the notification in an envelope should be superscribed with specialization of subject & cast addressed to UPE Phase II, Focus Area, Biotechnology at Savitribai Phule Pune University on or before 28-02-2015.

Last Date for Receipt of Applications: 28-02-2015.

Read more: Pune University Recruitment 2015 - Project Asst Posts http://www.freejobalert.com/university-of-pune/6941/#ixzz3Sfhtn4hb

http://www.freejobalert.com/wp-content/uploads/2015/01/Notification-Pune-University-Project-Asst-Posts.pdf

BBSplit: Read Binning Tool for Metagenomes and Contaminated Libraries

Poonam Mahapatra — Wed, 03 Jan 2018 00:25:27 -0600

BBSplit internally uses BBMap to map reads to multiple genomes at once, and determine which genome they match best. This is different than with ordinary mapping. If a genome (say, human) contains an exact repeat somewhere, reads mapping to it will be mapped ambiguously. But if you want to determine whether reads are mouse or human, it does not matter whether they map ambiguously within human, only whether they are ambiguous between human and mouse. BBSplit tracks this additional ambiguity information and decides how to use it based on the “ambig2” flag. The normal use of BBSplit is like Seal, either quantifying how many reads go to each reference, or splitting the reads into multiple output files, one per reference. BBSplit can only be run using references indexed with BBSplit, as they contain additional information regarding which sequences came from which reference file.

BBSplit is a tool that bins reads by mapping to multiple references simultaneously, using BBMap. The reads go to the bin of the reference they map to best. There are also disambiguation options, such that reads that map to multiple references can be binned with all of them, none of them, one of them, or put in a special "ambiguous" file for each of them. Paired reads will always be kept together.

For example, if you had a library of something that was contaminated with e.coli and salmonella, you could do this:

bbsplit.sh in=reads.fq ref=ecoli.fa,salmonella.fa basename=out_%.fq outu=clean.fq int=t

This will produce 3 output files:
out_ecoli.fq (ecoli reads)
out_salmonella.fq (salmonella reads)
clean.fq (unmapped reads)

In this case, "int=t" means that the input file is paired and interleaved. For single-end reads you would leave that out. For paired reads in 2 files, you would do this:
bbsplit.sh in1=reads1.fq in2=reads2.fq ref=ecoli.fa,salmonella.fa basename=out_%.fq outu1=clean1.fq outu2=clean2.fq

BBSplit is available here:
https://sourceforge.net/projects/bbmap/

The sensitivity can be raised to be equivalent to BBMap with these flags: "minratio=0.56 minhits=1 maxindel=16000"

A guide for complete R beginners !

Archana Malhotra — Fri, 20 Feb 2015 23:36:46 -0600

This tutorial is intended to introduce users quickly to the basics of R, focusing on a few common tasks that biologists need to perform some basic analysis: load a table, plot some graphs, and perform some basic statistics. More extensive tutorials can be found on the project website and via bioconductor (not covered here).

R-language: http://www.r-project.org

BioConductor: http://www.bioconductor.org

Advantages of R

Free!
Powerful, many libraries have been created to perform application specific tasks. e.g. analysis of microarray experiments and Next-Gen sequencing (bioconductor: including Bioseq group).
Presentation quality graphics
- Save as a png, pdf or svg
History
- What you do can be saved for the next time you use R.
- Ability to turn it into an automated script to perform again and again on different data

Disadvantages

Lack of a comprehensive graphical user interface, but two do exist: However some do exist: R commander: http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/ and Limma-gui (microarrays) : http://bioinf.wehi.edu.au/limmaGUI/

Preparation

(Optional) Download and save the tutorial data set from
- http://bioinformatics.knowledgeblog.org/wp-content/uploads/bioinf/kerr/data.tsv
- Start R (type R on a Linux or Mac terminal, or find the starting link from PC)

Getting More Help

Project Home page
- http://www.r-project.org/
- Check out the ‘introduction to R’, which is a much more in depth guide .
- Also R has a built-in help system (see later)

Working directory

This is the directory used to store your data and results. It is useful if it is also the directory where your input data is stored.

Mac/Linux: this is the directory where you typed in R
PC: Change using the change working directory option

CViT: Chromosome Viewing Tool

Rahul Nayak — Wed, 02 Jan 2019 04:10:09 -0600

CViT - Chromosome Viewing Tool. A collection of Perl scripts that enable quick visualizations of features on linkage groups, psuedochromosomes or cytogenetic maps. Intended for whole-genome views of data but can be used to create images of single chromosomes/linkage groups, contigs, or BACs, or even proteins -- any feature that has a location on a backbone. Handles most standard genetic/genomic coordinate systems. Reads GFF3 data and produces a PNG or SVG image.

https://www.hindawi.com/journals/ijpg/2011/373875/

Address of the bookmark: https://sourceforge.net/projects/cvit/

Opening for RA/extended SRF in Bioinformatics project by DBT at Bose Institute

Sun, 01 Mar 2015 00:50:18 -0600

The institute has evolved over the years into a multi-disciplinary research organization with stress on fundamental research in its pursuit of advancement of knowledge in Science and technology and at the same time developing highly competent and able scientific manpower for the country. The institute has on its staff highly qualified and experienced scientists working in the field of Biological, biochemical, Chemical and Physical sciences placed in long established departments of Physics, Chemistry, Botany, Microbiology, Biochemistry, and Biophysics, and the research sections on plant Molecular & Cellular Genetics, Animal Physiology, Immunotechnology and Environmental science

Walk-in-Interview will be held on 04th March 2015 at 11.30 A.M. in the Bio- Informatics Centre of Bose Institute, P-1/12, C.I.T. Scheme VII-M, Kolkata- 700054 for two (02) positions of Research Associate/ Extended Senior Research Fellow in the DBT sponsored following two projects running under the CoE- Bioinformatics under the guidance of Prof. Pinakpani Chakrabarti, Bioinformatics Centre.

Position : RA/SRF
Project title : 1. "Centre of Excellence (CoE) in Bioinformatics at Bose Institute”,2. Project entitled “Setting up of National Facility on Interactive Graphysics Computer System (IGCS) for Biomolecular Modeling, Molecular Dynamics & Structures”

Desired Profile : Ph.D degree in Biological or Chemical Sciences with in-depth understanding of protein structure and dynamics for R.A. position.Those who have submitted thesis can be considered for Extended SRF position
Preferred : Knowledge of computer programming and bioinformatics softwares.
Stipend : For R.A- Rs. 22,000/- p.m., plus admissible H.R.A. and Medical benefit. For Extended SRF - Rs. 20,000/- p.m., plus admissible H.R.A.and Medical benefit.
Age : For R.A- Below 35 years; For Extended SRF - Below 33 years
Interested and eligible candidates should appear before the Selection Committee with atyped application addressed to the Sr.Prof. & In-Charge, Registrar's Office, Bose Institute, P- 1/12, CIT Scheme VII-M, Kankurgachi, Kolkata-700054 along with Bio-data giving details of qualification i.e. examination passed, year, division, percentage of marks from Secondary onwards with attested copies of Certificates, Mark-Sheet and testimonials. The candidates should also bring the original mark-sheets, certificates etc. at the time of Interview.

Walk in Interview : 04.03.15

More at http://www.boseinst.ernet.in/ADVT/14/p_34.pdf

R Package for PCA Analysis

LEGE — Sun, 24 Mar 2024 20:06:24 -0500

An R package for performing principal component analysis (PCA) of genomics data. The package performs PCA, generates the publication-ready plots, and identifies population-specific outlier individuals. The package can be accessed on GitHub: https://github.com/Devashish13/PopulationStructure

Address of the bookmark: https://rpubs.com/Devashish13/PCAGenomics

Research Associate Biotechnology/JRF/Lab. Assistant Indian Institute of Vegetable Research (IIVR) - Varanasi, Uttar Pradesh

Wed, 11 Mar 2015 08:59:27 -0500

F. No.: 2-19/2011-Adm.I

Research Associate Biotechnology /JRF / Lab. Assistant recruitment in Indian Institute of Vegetable Research

Project:
Genomics assisted selection of Solanum chilense introgression lines for enhancing drought tolerance in tomato
Post Name : Research Associate
Qualification : Ph.D in Biotechnology/ Bioinformatics/Genetics & Plant Breeding. M. Tech in Computer Science with at least one research paper in science citation indexed journal. Desirable: Experience in bioinformatics and next generation sequence data handling. Familiarity in Linux, R, Perl/Phython or other programming languages. Willingness to travel to European partner centers.

Pay Scale : Rs. 36000 for 1st and 2nd year as per rules for Research Associate. Rs. 25000/- for 1st and 2nd year and Rs. 28000 as per rules for Junior Research Fellow. Rs. 7000/- for Lab. Assistant.

Age : Not more than 35 years for Men and 40 years for Women (Relaxable for SC/ST/OBC/PH candidates as per rules) for Research Associate/ Junior Research Fellow. Minimum age will be 21 years and maximum age will be 45 years (Relaxable for SC/ST/OBC/PH candidates as per rules) for Lab.Assistant.

More at http://iivr.org.in/Job%20Oppurtunities/RA20.03.2015.pdf

DAVI: Deep learning-based tool for alignment and single nucleotide variant identification

Jit — Tue, 16 Mar 2021 05:41:33 -0500

DAVI consists of models for both global and local alignment and for variant calling. We have evaluated the performance of DAVI against existing state-of-the-art tool sets and found that its accuracy and performance is comparable to existing tools used for bench-marking. We further demonstrate that while existing tools are based on data generated from a specific sequencing technology, the models proposed in DAVI are generic and can be used across different NGS technologies as well as across different species

https://iopscience.iop.org/article/10.1088/2632-2153/ab7e19/pdf

Address of the bookmark: https://github.com/gguptaiitd/NEAT

Walk-ins for RA, JRF and SRF post in NBAGR, Karnal

Tue, 04 Aug 2015 18:50:07 -0500

ICAR-NATIONAL BUREAU OF ANIMAL GENETIC RESOURCES
Near Basant Vihar G.T. Road Bypass P.O. Box No.129,
Karnal-132001 (Haryana)

A walk-in-Interview is proposed to be held at National Bureau of Animal Genetic Resources, Karnal (Haryana)-132001 at 10:30 AM on 19.08.2015 to select One Research Associate & Three Senior Research Fellow as per details given below:

Name of the project & project period: ICAR Consortium Platform on Genomics.

The post duration is Upto 31.03.2017 or earlier & Co-terminus with the project.

Upto 31.03.2017 or earlier and Coterminus with the project

Essential Qualifications: PhD degree in Bioinformatics OR Master’s degree in Bioinformatics with 4 years/5 years of Bachelor’s degree having 1st division or 60% marks or equivalent overall grade point average, with at least two years of research experience as evidenced from Fellowship/Associateship

Desirable: Working experience in Next Generation Sequencing data analysis

Emolument: Research Associates may be fixed at a consolidated amount at one of the two pay levels given below depending upon the qualification & experience.

I. Research Associate – Master Degree Holders Rs. 38,000/ + HRA II. Research Associate – Doctoral Degree Holder Rs. 40,000/ + HRA

Senior Research Fellow: Two:- Bioinformatics One: - Biotechnology.

Duration of engagement: Upto 31.03.2017 or earlier and Coterminus with the project

Essential Qualifications: Master degree in any one of discipline/ Subjects- Biotechnology/Bioinformatics with 4 years/5 years of Bachelor’s degree.

Candidates having post graduate degree in above mentioned subjects with 3 years Bachelor’s degree should have NET qualification.

Desirable: The candidates should have zeal to work in R environment and NGS data analysis Emolument: Rs. 28,000/- per month + HRA as per admissibility

Age Limit: 1. 40 year for Men and 45 years for Women in case of RA on the date of Interview. 2. 35 year for Men and 40 years for Women in case of SRF on the date of Interview. (Relaxation for SC/ST/OBC and PHC as per GOI/ICAR rules) The above positions are purely temporary and will be filled in on Contractual basis. The selected candidate shall have no right/claim for regular appointment at this Institute, as the engagement is co-terminus with the Project/Scheme.

Interested candidates may attend Walk-in-Interview at 10:30 AM on 19.08.2015 alongwith original certificates and typed bio-data with one set of attested copies of each their certificates with passport size photograph. No TA/DA will be paid for attending the interview. All eligible candidates are advised to be present at least 30 minutes before scheduled time on the date of interview for completing necessary formalities. Canvassing in any form will disqualify the candidates.

More at http://210.212.93.85/Advertisiment3.pdf