physher v1.0.2 – Phylogenetic Analysis of Genetic data

physher v1.0.2

:: DESCRIPTION

Physher is a maximum likelihood-based method for estimating evolutionary rates and divergence times from genetic data.

::DEVELOPER

Mathieu Fourment

 SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

Physher

:: MORE INFORMATION

Citation

Fourment M, Holmes EC.
Novel non-parametric models to estimate evolutionary rates and divergence times from heterochronous sequence data.
BMC Evol Biol. 2014 Jul 24;14:163. doi: 10.1186/s12862-014-0163-6. PMID: 25055743; PMCID: PMC4222489.

pyGenClean 1.8.3 – Tool for Genetic Data Clean up before Association Testing

pyGenClean 1.8.3

:: DESCRIPTION

pyGenClean is an informatics tool to facilitate and standardize the genetic data clean up pipeline with genotyping array data. In conjuction with a source batch-queuing system, the tool minimizes data manipulation errors, it accelerates the completion of the data clean up process and it provides informative graphics and metrics to guide decision making for statistical analysis.

::DEVELOPER

Marie-Pierre Dubé’s Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /  Windows / MacOsX
  • Python

:: DOWNLOAD
 pyGenClean

:: MORE INFORMATION

Citation

Bioinformatics. 2013 May 30. [Epub ahead of print]
pyGenClean: efficient tool for genetic data clean up before association testing.
Lemieux Perreault LP, Provost S, Legault MA, Barhdadi A, Dubé MP.

AdmixSim 2.0 – Forward-time Simulator of Population Genetic data

AdmixSim 2.0

:: DESCRIPTION

AdmixSim is an individual-based forward-time simulation tool that can flexibly and efficiently simulate population genomics data under complex evolutionary scenarios. It is based on the extended Wright-Fisher model, and it implements many common evolutionary parameters to involve gene flow, natural selection, recombination, and mutation.

::DEVELOPER

Population Genomics Group (PGG)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux
  • Python

:: DOWNLOAD

AdmixSim

:: MORE INFORMATION

Citation

Zhang R, Liu C, Yuan K, Ni X, Pan Y, Xu S.
AdmixSim 2: a forward-time simulator for modeling complex population admixture.
BMC Bioinformatics. 2021 Oct 18;22(1):506. doi: 10.1186/s12859-021-04415-x. PMID: 34663213; PMCID: PMC8522168.

bammds 2014 – Create MDS plot of Populations for Genetic data

bammds 2014

:: DESCRIPTION

bammds is a software that allows to create a multidimensional scaling (MDS) plot of populations for genetic data.

::DEVELOPER

bammds team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • samtools
  • R
  • Perl

:: DOWNLOAD

 bammds

:: MORE INFORMATION

Citation

bammds: A tool for assessing the ancestry of low depth whole genome data using multidimensional scaling (MDS).
Malaspinas AS, Tange O, Moreno-Mayar JV, Rasmussen M, DeGiorgio M, Wang Y, Valdiosera CE, Politis G, Willerslev E, Nielsen R.
Bioinformatics. 2014 Jun 28. pii: btu410.

adegenet 2.1.4 – Exploratory Analysis of Genetic data

adegenet 2.1.4

:: DESCRIPTION

adegenet is an  R package dedicated to the exploratory analysis of genetic data. It implements a set of tools ranging from multivariate methods to spatial genetics and genome-wise SNP data analysis.

::DEVELOPER

Thibaut Jombart

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

  adegenet 

:: MORE INFORMATION

Citation

Jombart (2008),
adegenet: a R package for the multivariate analysis of genetic markers“,
Bioinformatics, 24:1403-1405.

PBWT – Implementation of Positional Burrows-Wheeler Transform for Genetic data

PBWT

:: DESCRIPTION

The pbwt package provides a core implementation and development environment for PBWT (Positional Burrows-Wheeler Transform) methods for storing and computing on genome variation data sets.

::DEVELOPER

Richard Durbin

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 pbwt

:: MORE INFORMATION

Citation

Bioinformatics. 2014 May 1;30(9):1266-72. doi: 10.1093/bioinformatics/btu014. Epub 2014 Jan 9.
Efficient haplotype matching and storage using the positional Burrows-Wheeler transform (PBWT).
Durbin R.

Genoppi 1.0.13 – Integration of Proteomic and Genetic data

Genoppi 1.0.13

:: DESCRIPTION

Genoppi is an open-source software for performing quality control and analyzing quantitative proteomic data. Genoppi streamlines the integration of proteomic data with external datasets such as known protein-protein interactions in published literature, data from genetic studies, gene set annotations, or other user-defined inputs.

::DEVELOPER

Lage Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • R

:: DOWNLOAD

Genoppi

:: MORE INFORMATION

Citation

Pintacuda G, Lassen FH, Hsu YH, Kim A, Martín JM, Malolepsza E, Lim JK, Fornelos N, Eggan KC, Lage K.
Genoppi is an open-source software for robust and standardized integration of proteomic and genetic data.
Nat Commun. 2021 May 10;12(1):2580. doi: 10.1038/s41467-021-22648-5. PMID: 33972534; PMCID: PMC8110583.

SPA 1.13 – Spatial Ancestry Analysis in Genetic data

SPA 1.13

:: DESCRIPTION

SPA is a method for predicting ancestry or where an individual is from using the individual’s DNA. Accurately modeling ancestry is an important step in identifying genetic variation involved in disease.

::DEVELOPER

ZarLab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOsX

:: DOWNLOAD

 SPA

:: MORE INFORMATION

Citation

Wen-Yun Yang, John Novembre, Eleazar Eskin and Eran Halperin.
A model based approach for analysis of spatial structure in genetic data.
Nature Genetics, 44, 725–731 (2012).

FastPop – Infer Intercontinental Ancestry using Genetic data

FastPop

:: DESCRIPTION

FastPop is an efficient R package that fills the gap between Structure and Eigenstrat. It can: 1, generate PCA scores that identify ancestral origins and can be used for multiple studies; 2, infer ancestry information for data arising from two or more intercontinental origins.

::DEVELOPER

FastPop team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • R

:: DOWNLOAD

 FastPop

:: MORE INFORMATION

Citation

FastPop: a rapid principal component derived method to infer intercontinental ancestry using genetic data.
Li Y, Byun J, Cai G, Xiao X, Han Y, Cornelis O, Dinulos JE, Dennis J, Easton D, Gorlov I, Seldin MF, Amos CI.
BMC Bioinformatics. 2016 Mar 9;17(1):122. doi: 10.1186/s12859-016-0965-1.

pong – Fast Analysis and Visualization of Latent Clusters in Population Genetic data

pong

:: DESCRIPTION

pong is a freely available software package for post-processing output from clustering inference using population genetic data

::DEVELOPER

the Ramachandran Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX/ Windows
  • Python

:: DOWNLOAD

 pong

:: MORE INFORMATION

Citation

pong: fast analysis and visualization of latent clusters in population genetic data.
Behr AA, Liu KZ, Liu-Fang G, Nakka P, Ramachandran S.
Bioinformatics. 2016 Jun 9. pii: btw327.

Exit mobile version