SweepFinder 20060814 – Detect the Location of a selective Sweep based on SNP data

SweepFinder 20060814

:: DESCRIPTION

SweepFinder is a program used to detect the location of a selective sweep based on SNP data. It will also estimate the frequency spectrum of observed SNP data in the presence of missing data.

::DEVELOPER

the Nielsen group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX

:: DOWNLOAD

 SweepFinder

:: MORE INFORMATION

Citation:

Nielsen et al. 2005.
Genomic scans for selective sweeps using SNP data.
Genome Research 1566-1575.

GMM – Detects Copy Number Variation from the Distribution of Copy Number Ratios

GMM

:: DESCRIPTION

GMM (Gaussian Mixture Model) detects copy number variation from the distribution of copy number ratios. From the data, it will fit one component for each of the following copy number states: deletion, copy-neutral, 1 and 2 additional copy; with a constraint on the difference between the mixture means. Then for a given individual, it will determine the probabilities for each copy number state and compute the expected copy number (dosage).

::DEVELOPER

Computational Biology Group ,Department of Medical Genetics, University of Lausanne

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

  GMM

:: MORE INFORMATION

PEDAGREE 1.00 – Detect Autosomal Marker Mendelian Incompatibilities in Pedigree data

PEDAGREE 1.00

:: DESCRIPTION

PedAgree detects autosomal marker incompatibilities. PedAgree needs only pedigree file and doesn’t need locus file. The pedigree file have a very strict format because PedAgree need to distinguish markers from other variables.

::DEVELOPER

Christine Couiilault (kristin.c@free.fr)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux

:: DOWNLOAD

   PEDAGREE

:: MORE INFORMATION

HapForest – Forest for Detecting Haplotypes and Interactions

HapForest

:: DESCRIPTION

HapForest implements a forest-based approach to accommodate the haplotype uncertainties and variable importance to sort out significant haplotypes and their interactions in genomewide case-control association studies.

::DEVELOPER

The Collaborative Center for Statistics in Science(C2S2)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux /MacOsX
  • Java

:: DOWNLOAD

 HapForest

:: MORE INFORMATION

Citation:

X. Chen, C.-T. Liu, M. Zhang and H.P. Zhang.
A forest-based approach to identifying gene and gene-gene interactions,
PNAS, 104: 19199–19203, 2007.

SegSeq 1.01 – Detect CNVs from Short Sequence Reads

SegSeq 1.01

:: DESCRIPTION

SegSeq is an algorithm to identify chromosomal breakpoints using massively parallel sequence data

::DEVELOPER

the Broad Institute

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 SegSeq

:: MORE INFORMATION

Citation:

Nat Methods. 2009 Jan;6(1):99-103. Epub 2008 Nov 30.
High-resolution mapping of copy-number alterations with massively parallel sequencing.
Chiang DY, Getz G, Jaffe DB, O’Kelly MJ, Zhao X, Carter SL, Russ C, Nusbaum C, Meyerson M, Lander ES.

DIVERGE 2.0 – Detect Functional Divergence between member Genes of a Protein Family

DIVERGE 2.0

:: DESCRIPTION

DIVERGE is designed to detect functional divergence between member genes of a protein family, based on (site-specific) shifted evolutionary rates after gene duplication or speciation. Posterior analysis results in a site-specific profile for predicting important amino acid residues that are responsible for functional divergence. Moreover, when the 3D protein structure is available, these predicted sites can be mapped to the 3D structure viewer to explore its structure basis.

::DEVELOPER

Xun Gu

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

 DIVERGE

:: MORE INFORMATION

Citation:

Gu, X. (1999)
Statistical methods for testing functional divergence after gene duplication.
Molecular Biology and Evolution 16:1664-1674.

EPISTACY 2.0 – Detect Two-locus Epistatic Interactions using Genetic Marker information

EPISTACY 2.0

:: DESCRIPTION

EPISTACY is a SAS program designed to test all possible two-locus combinations for epistatic (interaction) effects on a quantitative trait using QTL-mapping data sets.

::DEVELOPER

Dr Jim Holland 

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 EPISTACY

:: MORE INFORMATION

Citation

Holland (1998),
EPISTACY: A SAS program for detecting two-locus epistatic interactions using genetic marker information“,
Journal of Heredity, 89:374-375.

HapBound-GC and SHRUB-GC – Detect Crossover and Gene-Conversion Recombinations

HapBound-GC and SHRUB-GC

:: DESCRIPTION

HapBound-GC and SHRUB-GC respectively compute lower and upper bounds on the minimum combined number of crossover and gene-conversion recombinations. SHRUB-GC constructs a graphical representation of evolutionary history involving coalescent, mutation, crossover and gene-conversion events.

::DEVELOPER

Yun S. Song

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/Windows with Cygwin /MacOsX

:: DOWNLOAD

  HapBound-GC and SHRUB-GC

:: MORE INFORMATION

Citation

Song, Y.S., Ding, Z., Gusfield, D., Langley, C.H., and Wu, Y.
Algorithms to Distinguish the Role of Gene-Conversion from Single-Crossover Recombination in the Derivation of SNP Sequences
Lecture Notes in Computer Science 3909, (2006) 231-245.”

blockbuster – Detect Blocks of Overlapping Reads

blockbuster

:: DESCRIPTION

The blockbuster tool automatically assigns reads to blocks and gives a unique chance to actually see the different origins where the short reads come from.

::DEVELOPER

the Hoffmann Junior Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 blockbuster

:: MORE INFORMATION

Citation

Langenberger D, Bermudez-Santana C, Hertel J, Hoffmann S, Khaitovitch P, Stadler PF:
Evidence for Human microRNA-Offset RNAs in Small RNA Sequencing Data“,
Bioinformatics (2009) vol. 25 (18) pp. 2298-301

EVE v04 – Detect Differentially Expressed Genes using Microarray Data

EVE v04

:: DESCRIPTION

EVE (External Variance Estimation) is an software to detect differentially expressed genes using microarray data.You can download an R-script that works for data from the Affymetrix ATH1 GeneChip® microarray.

::DEVELOPER

Gruissem laboratory at the Institute of Plant Sciences

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

EVE

:: MORE INFORMATION

Citation

Wille, A., Gruissem, W., Bühlmann, P., Hennig, L. (2007)
EVE – External Variance Estimation increases statistical power for detecting differentially expressed genes.
Plant J 52, 561-569