Reveel 201610 – Large-scale Population Genotyper using low-coverage Sequencing data

Reveel 201610

:: DESCRIPTION

Reveel is an ultrafast tool for single nucleotide variant calling and genotyping of large cohorts that have been sequenced at low coverage.

::DEVELOPER

Serafim’s Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Java

:: DOWNLOAD

 Reveel

:: MORE INFORMATION

Citation

Reveel: large-scale population genotyping using low-coverage sequencing data.
Huang L, Wang B, Chen R, Bercovici S, Batzoglou S.
Bioinformatics. 2015 Sep 9. pii: btv530.

GENOSIM v4 – Simulate Genotypes, Breeding Values, and Phenotypes

GENOSIM v4

:: DESCRIPTION

GENOSIM is a set of programs to simulate genotypes, breeding values, phenotypes, and DNA sequence read depth and to resolve SNP conflicts between parent and offspring genotypes

::DEVELOPER

Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Fortron

:: DOWNLOAD

  GENOSIM

:: MORE INFORMATION

FINDHAP V4 – Find Haplotypes and Impute Genotypes

FINDHAP V4

:: DESCRIPTION

FINDHAP is a program to find haplotypes and impute genotypes from multiple marker sets and sequence data

::DEVELOPER

Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Fortran

:: DOWNLOAD

  FINDHAP

:: MORE INFORMATION

Citation

J Dairy Sci. 2013 Jan;96(1):668-78. doi: 10.3168/jds.2012-5702. Epub 2012 Oct 11.
Genomic imputation and evaluation using high-density Holstein genotypes.
VanRaden PM1, Null DJ, Sargolzaei M, Wiggans GR, Tooker ME, Cole JB, Sonstegard TS, Connor EE, Winters M, van Kaam JB, Valentini A, Van Doormaal BJ, Faust MA, Doak GA.

iConvert – Convert Genotype Allele Formats

iConvert

:: DESCRIPTION

The iConvert program allows to convert genotype allele formats (any format for any SNP chip contained in the SNPchiMp tool).

::DEVELOPER

iConvert team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows /  MacOsX / Linux
  • Python

:: DOWNLOAD

 iConvert

:: MORE INFORMATION

Citation

SNPchiMp v.3: integrating and standardizing single nucleotide polymorphism data for livestock species.
Nicolazzi EL, Caprera A, Nazzicari N, Cozzi P, Strozzi F, Lawley C, Pirani A, Soans C, Brew F, Jorjani H, Evans G, Simpson B, Tosser-Klopp G, Brauning R, Williams JL, Stella A.
BMC Genomics. 2015 Apr 10;16(1):283.

dbVOR 1.12 – Phenotype and Genotype Database System

dbVOR 1.12

:: DESCRIPTION

dbVOR is a database system for importing pedigree, phenotype and genotype data and exporting selected subsets.

::DEVELOPER

Division of Statistical Genetics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python
  • MySQL
  • MySQLDB

:: DOWNLOAD

 dbVOR

:: MORE INFORMATION

Citation

dbVOR: a database system for importing pedigree, phenotype and genotype data and exporting selected subsets
Baron RV, Conley YP, Gorin MB, Weeks DE.
BMC Bioinformatics. 2015 Mar 18;16(1):91.

HIBAG 1.28.0 – HLA Genotype Imputation with Attribute Bagging

HIBAG 1.28.0

:: DESCRIPTION

HIBAG is a state of the art software package for imputing HLA types using SNP data, and it uses the R statistical programming language. HIBAG is highly accurate, computationally tractable, and can be used by researchers with published parameter estimates (provided for subjects of European, Asian, Hispanic and African ancestries) instead of requiring access to large training sample datasets. It combines the concepts of attribute bagging, an ensemble classifier method, with haplotype inference for SNPs and HLA types. Attribute bagging is a technique which improves the accuracy and stability of classifier ensembles deduced using bootstrap aggregating and random subsets of variables.

::DEVELOPER

HIBAG team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / MacOsX / Linux
  • R
  • BioConductor

:: DOWNLOAD

 HIBAG

:: MORE INFORMATION

Citation

X. Zheng, J. Shen, C. Cox, J. Wakefield, M. Ehm, M. Nelson, B. Weir.
HIBAG – HLA Genotype Imputation with Attribute Bagging
Pharmacogenomics J. 2013 May 28. doi: 10.1038/tpj.2013.18.

Genotype Harmonizer 1.4.23 – Harmonization of Genotype Data

Genotype Harmonizer 1.4.23

:: DESCRIPTION

The Genotype Harmonizer is an easy to use command-line tool that allows harmonization of genotype data stored using different file formats with different and potentially unknown strands.

::DEVELOPER

the University Medical Center Groningen at the Genetics Department and the Genomics Coordination Center.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 Genotype Harmonizer

:: MORE INFORMATION

Citation:

BMC Res Notes. 2014 Dec 11;7:901. doi: 10.1186/1756-0500-7-901.
Genotype harmonizer: automatic strand alignment and format conversion for genotype data integration.
Deelen P1, Bonder MJ, van der Velde KJ, Westra HJ, Winder E, Hendriksen D, Franke L, Swertz MA.

GIST 0.3 – Detect Association between Marker Genotypes and IBD sharing at the same locus

GIST 0.3

:: DESCRIPTION

The GIST (Genotype-IBD Sharing Test) is a method for detecting association between marker genotypes and IBD sharing at the same locus.  Such an association will indicate that the marker itself, or one in linkage disequilibrium with it, could account for the observed linkage signal (at least partially).  The software can be used to analyze affected sibship data.

::DEVELOPER

Chun Li

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux/Windows

:: DOWNLOAD

GIST

:: MORE INFORMATION

Citation

Li C, Scott LJ, Boehnke M. (2004)
Assessing Whether an Allele Can Account in Part for a Linkage Signal: The Genotype-IBD Sharing Test (GIST).
Am. J. Hum. Genet. 74:418-431

GIGI 1.06.1 – Genotype Imputation Given Inheritance

GIGI 1.06.1

:: DESCRIPTION

GIGI is a computer program to impute missing genotypes on pedigrees.

::DEVELOPER

Ellen M. Wijsman

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C++ Compiler

:: DOWNLOAD

 GIGI

:: MORE INFORMATION

Citation:

Cheung, CYK., Thompson, E.A., Wijsman, E.M. (2013).
GIGI: An approach to effective imputation of dense genotypes on large pedigrees.
American Journal of Human Genetics 92:504-516

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