BOL: Related items

List of non-commercial NGS genotype-calling software

Jit — Thu, 09 Aug 2018 04:21:32 -0500

Meaningful analysis of next-generation sequencing (NGS) data, which are produced extensively by genetics and genomics studies, relies crucially on the accurate calling of SNPs and genotypes. Recently developed statistical methods both improve and quantify the considerable uncertainty associated with genotype calling, and will especially benefit the growing number of studies using low- to medium-coverage data.

A list of programs for genotype and SNP calling :

SOAP2 http://soap.genomics.org.cn/index.html

Single-sample High-quality variant database (for example, dbSNP) Package for NGS data analysis, which includes a single individual genotype caller (SOAPsnp)

realSFS http://128.32.118.212/thorfinn/realSFS/

Single-sample Aligned reads Software for SNP and genotype calling using single individuals and allele frequencies. Site frequency spectrum (SFS) estimation

Samtools http://samtools.sourceforge.net/

Multi-sample Aligned reads Package for manipulation of NGS alignments, which includes a computation of genotype likelihoods (samtools) and SNP and genotype calling (bcftools)

GATK http://www.broadinstitute.org/gsa/wiki/index.php/The_Genome_Analysis_Toolkit Multi-sample Aligned reads Package for aligned NGS data analysis, which includes a SNP and genotype caller (Unifed Genotyper), SNP filtering (Variant Filtration) and SNP quality recalibration (Variant Recalibrator)

Beagle http://faculty.washington.edu/browning/beagle/beagle.html

Multi-sample LD Candidate SNPs, genotype likelihoods Software for imputation, phasing and association that includes a mode for genotype calling

IMPUTE2 http://mathgen.stats.ox.ac.uk/impute/impute_v2.html

Multi-sample LD Candidate SNPs, genotype likelihoods Software for imputation and phasing, including a mode for genotype calling. Requires fine-scale linkage map

QCall ftp://ftp.sanger.ac.uk/pub/rd/QCALL

Multi-sample LD ‘Feasible’ genealogies at a dense set of loci, genotype likelihoods Software for SNP and genotype calling, including a method for generating candidate SNPs without LD information (NLDA) and a method for incorporating LD information (LDA). The ‘feasible’ genealogies can be generated using Margarita (http://www.sanger.ac.uk/resources/software/margarita)

MaCH http://genome.sph.umich.edu/wiki/Thunder

Multi-sample LD Genotype likelihoods Software for SNP and genotype calling, including a method (GPT_Freq) for generating candidate SNPs without LD information and a method (thunder_glf_freq) for incorporating LD information

GenoViz: Visualization software for genomics

Rahul Nayak — Wed, 02 Jan 2019 04:07:57 -0600

GenoViz provides software applications and re-usable components for data visualization and data sharing in genomics. Our flagship product is Integrated Genome Browser (IGB).

For more information about IGB, visit http://bioviz.org.

Source code for the project was hosted here for many years. In 2014, we moved to a new git repository at http://www.bitbucket.org/lorainelab/integrated-genome-browser. We are still using SourceForge to distribute new releases of IGB as compiled code (igb.zip) you can use to run IGB on your computer.

If you have questions, feel free to get in touch. Contact project head Ann Loraine (aloraine@uncc.edu) or lead developer David Norris (dcnorris@uncc.edu>).

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

Juicebox: Visualization and analysis software for Hi-C data

Jit — Fri, 21 Feb 2020 00:33:38 -0600

Juicebox is visualization software for Hi-C data. This distribution includes the source code for Juicebox, Juicer Tools, and Assembly Tools. Download Juicebox here, or use Juicebox on the web. Detailed documentation is available on the wiki. Instructions below pertain primarily to usage of command line tools and the Juicebox jar files.

Juicebox can now be used to visualize and interactively (re)assemble genomes. Check out the Juicebox Assembly Tools Module website https://aidenlab.org/assembly for more details on how to use Juicebox for assembly.

GUI at https://aidenlab.org/juicebox/

Address of the bookmark: https://github.com/aidenlab/Juicebox

OMArk: software for proteome (protein-coding gene repertoire) quality assessment

LEGE — Wed, 21 Feb 2024 15:01:20 -0600

OMArk is a software for proteome (protein-coding gene repertoire) quality assessment. It provides measures of proteome completeness, characterizes the consistency of all protein coding genes with regard to their homologs, and identifies the presence of contamination from other species. OMArk relies on the OMA orthology database, from which it exploits orthology relationships, and on the OMAmer software for fast placement of all proteins into gene families.

Address of the bookmark: https://github.com/DessimozLab/OMArk

Fellowship (Doctoral Research In Biomedical Genomics, Including Statistical Genomics)

Sun, 20 Dec 2015 06:03:43 -0600

Fellowship (Doctoral Research In Biomedical Genomics, Including Statistical Genomics)
Eligibility : MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech, Mathematics / Applied Mathematics, Stati, Zoology)
Location : Kolkata
Last Date : 31 Dec 2015
Hiring Process : Written-test

NO: 340/ESTB/ADMN/NIBMG/2015-16
Doctoral Research In Biomedical Genomics, Including Statistical Genomics conduct National Institute of Biomedical Genomics (NIBMG)
Information For Students Interested To Pursue Doctoral Research In Biomedical Genomics, Including Statistical Genomics, At The National Institute Of Biomedical Genomics (Nibmg), Kalyan
Eligibility conditions for specific areas of research are :
Statistical Genomics : An applicant who wishes to pursue research in Statistical Genomics should hold a Master's degree (First class or equivalent) in a relevant discipline (Statistics, Mathematics, Bioinformatics, or a related discipline)
Biomedical Genomics : An applicant who wishes to pursue research in any area of biomedical genomics, other than statistical genomics, should hold a Master's degree (First class or equivalent) in a relevant discipline (Biochemistry, Biotechnology, Molecular Biology, Genetics, Zoology, Physiology, or a related discipline)
Fellowship : An applicant should have passed the NET conducted by CSIR/UGC/ICMR/DBT within the past ONE year AND should have been awarded a valid Junior Research Fellowship from CSIR, UGC, ICMR, DBT (Category-I only), DST (INSPIRE), NBHM. Preference will be given to candidates with demonstrable research training in the form of summer training or short-term courses in established research laboratories in preparation for a research career in biomedical sciences
How to apply
Online application will be accepted until 5 PM of December 31, 2015. A formal interview of the short-listed candidates will be held on January 12, 2016

More at http://www.nibmg.ac.in/?q=Career%20Opportunities

Research Scientist at IIT Madras

Mon, 07 Mar 2016 04:06:13 -0600

Research Scientist/Project Associate/Project Assistant Jobs opportunity in Indian Institute of Technology Madras (IIT Madras)

Research Scientist

Qualification : Ph.D in any branch of life science or bioinformatics or computational biology Experience : Previous experience in Molecular Biology, Cell Biology, Biochemistry and Genome/big data analysis is desirable but not mandatory

No. of Vacancy : 02

Project Associate

Qualification : MSc in any branch of life science Experience Previous experience in Molecular Biology, Cell Biology and Biochemistry is desirable but not mandatory

No. of Vacancy : 02

Project Assistant

Qualification : BSc in any branch of life science or chemical science Experience Previous experience any branch in Life science, Molecular Biology, Cell Biology and Biochemistry is desirable but not mandatory

No. of Vacancy : 03
How to apply

Interested candidates can forward their profiles to email id: nctb@iitm.ac.in latest by 18th March, 2016

More at https://www.iitm.ac.in/content/national-cancer-tissue-bio-bank-department-biotechnology-iitm-chennai-vacancy-various-post
https://www.iitm.ac.in/sites/default/files/notices/vacancy.pdf

RA at Central University of Rajasthan

Tue, 09 Feb 2016 03:53:35 -0600

Research Fellow Bioinformatics

Eligibility : MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech)

Location : Ajmer

Last Date : 13 Feb 2016

Hiring Process : Face to Face Interview
Central University of Rajasthan

Research Fellow Job vacancies in Central University of Rajasthan

Project Title : “Development of natural product derived febrifugine ananlogues as a novel therapeutics against visceral leishmaniasis”

No. of Post : 01

Qualification : Master of Biochemistry, Biotechnology, Bioinformatics and related biological sciences with minimum 55%, Age limit as per government rule.

Desirable Experience : Candidates with experience in cell culture, Chemoinformatics, and Parasitology will be preferred.

Fellowship : Rs. 25,000/- p.m. consolidated for NET qualified (14,000/- p.m. consolidated for Non-NET)
How to apply

The candidates may apply on a plain paper, along with their curriculum vitae (including name, date of birth, academic qualification starting from 10th class, summary of research experience, email id, phone number and passport size photograph) and email to vkprajapati@curaj.ac.in or post the hard copy to the Dr. Vijay Kumar Prajapati PI, DST-SERB Project (YSS/2015/000716), Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Dist- Ajmer, Rajasthan, 305 817 on or before 13th February 2016.

More at http://www.curaj.ac.in/Default.aspx?PageId=241

NCBI Remap

Jit — Thu, 11 Feb 2016 11:02:26 -0600

NCBI Remap. This tool is conceptually similar to liftOver in that in manages conversions between a pair of genome assemblies but it uses different methods to achieve these mappings. It is also available through a simple web interface or you can use the API for NCBI Remap.

More at http://www.ncbi.nlm.nih.gov/genome/tools/remap

API http://www.ncbi.nlm.nih.gov/genome/tools/remap/docs/api

Address of the bookmark: http://www.ncbi.nlm.nih.gov/genome/tools/remap

Przeworski lab

Mon, 15 Feb 2016 05:41:54 -0600

Genetic differences among individuals reflect the combined effects of mutation, recombination, population history and natural selection. As a result, studies of natural variation can provide important insights into evolutionary and genetic mechanisms: as examples, DNA sequence conservation among distantly related species can help identify functional roles too subtle to be detected in lab settings, while analyses of population variation allow for inferences about events that are too infrequent to be measured directly. Our research employs this general approach to learn about the dynamics of adaptation and the determinants of recombination and mutation, in humans and in other species.

More at http://przeworski.c2b2.columbia.edu/

BioToolbox

Jit — Fri, 19 Feb 2016 09:14:44 -0600

This is a collection of libraries and high-quality end-user scripts for bioinformatic analysis, including working with gene annotation, collecting data scores from a variety of modern file formats, and conversion between file formats. The Bio::ToolBox libraries provide a unified, abstracted interface to multiple common gene annotation formats and the collection of data from multiple data files. They rely on BioPerl SeqFeature libraries and related adaptors to access binary file formats including Bam, BigWig, BigBed, and USeq. The Bio::ToolBox package includes scripts for setting up databases of annotation, collecting annotated features, collecting genomic data relative to features, manipulating and analyzing data, and data format conversion.

More at http://cpansearch.perl.org/src/TJPARNELL/

Address of the bookmark: http://cpansearch.perl.org/src/TJPARNELL/