WH – Fit Speciation Model to DNA Sequence data sets

WH

:: DESCRIPTION

WH is a computer program that carries out the fitting of a speciation model, and conducts tests of the quality of fit of that model.  The speciation model is called the Isolation Model, and is one without gene flow.  With comparative DNA sequence data from each of two closely related species, the method allows an estimation of the time since speciation and the size of the ancestral species.

::DEVELOPER

the Hey lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOsX

:: DOWNLOAD

  WH

:: MORE INFORMATION

PhyloMap 2.2.1 – Visualizing Relationships of large Sequence data sets to the influenza A virus genome

PhyloMap 2.2.1

:: DESCRIPTION

The PhyloMap can generate elegant visualizations for large sequence data sets up to thousands of taxon require only a relatively short computation time. It can give you an overview of your entire data set, and automatically select a small number of sequences which are evenly sampled across your data set. You can build a phylogenetic tree using the sampling sequences and use it as a reference data set for further studies. The PhyloMap also shows you the relationships between the sampled data set with the entire data set.

::DEVELOPER

Jiajie Zhang (zhangjiajie@biochem.uni-luebeck.de)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Java

:: DOWNLOAD

 PhyloMap

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2011 Jun 20;12:248. doi: 10.1186/1471-2105-12-248.
PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome.
Zhang J1, Mamlouk AM, Martinetz T, Chang S, Wang J, Hilgenfeld R.

TagDust 2.33 – Extracts Mappable Reads from NGS gata.

TagDust 2.33

:: DESCRIPTION

TagDust is a program to eliminate artifactual reads from next-generation sequencing data sets.

::DEVELOPER

FANTOM

:: SCREENSHOTS

N/A

: REQUIREMENTS

  • Linux

:: DOWNLOAD

 TagDust

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2015 Jan 28;16(1):24.
TagDust2: a generic method to extract reads from sequencing data.
Lassmann T

Lassmann T., et al. (2009)
TagDust – A program to eliminate artifacts from next generation sequencing data.
Bioinformatics. 2009 November 1; 25(21): 2839–2840.

Quake 0.3.5 – Detect & Correct Substitution Sequencing Errors in WGS Data Sets

Quake 0.3.5

:: DESCRIPTION

Quake is a package to correct substitution sequencing errors in experiments with deep coverage (e.g. >15X), specifically intended for Illumina sequencing reads. Quake adopts the k-mer error correction framework, first introduced by the EULER genome assembly package. Unlike EULER and similar progams, Quake utilizes a robust mixture model of erroneous and genuine k-mer distributions to determine where errors are located. Then Quake uses read quality values and learns the nucleotide to nucleotide error rates to determine what types of errors are most likely. This leads to more corrections and greater accuracy, especially with respect to avoiding mis-corrections,  which create false sequence unsimilar to anything in the original genome sequence from which the read was taken.

::DEVELOPER

Center for Computational Biology , Johns Hopkins University School of Medicine

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 Quake

:: MORE INFORMATION

Citation

Genome Biology 2010, 11:R116
Quake: quality-aware detection and correction of sequencing errors
David R Kelley, Michael C Schatz and Steven L Salzberg

NGV 0.1 – Browser for Efficient Display of Large HTS Data Sets

NGV 0.1

:: DESCRIPTION

NGV (Next Generation Viewer) is a Preprocessor and Browser for efficient display of large HTS Data Sets. In a preprocessing step, NGV takes a genomic sequence and a file containing mapped reads as input and creates several indices. This preprocessing step is easily extendable by a plug-in mechanism. Preprocessed data sets can then be loaded and visualized efficiently: NGV provides several information visualizations (coverage histogram, coverage overviews, detail view). It makes use of interval tree-based indices to efficiently visualize large HTS data sets and enable users to search for regions with a defined minimum coverage as well as for mismatches between consensus and reference sequence.

::DEVELOPER

 the Center of Integrative Bioinformatics Vienna (CIBIV) headed by Arndt von Haeseler.

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux / Windows / MacOsX
  • Java

:: DOWNLOAD

  NGV

:: MORE INFORMATION

MicroMerge 2.0 – Merge Microsatellite Genotype Data Sets

MicroMerge 2.0

:: DESCRIPTION

MicroMerge automates merging of microsatellite data sets that were genotyped at different facilities or using different protocols or platforms. The software employs a Bayesian statistical model that matches allele frequencies between data sets (Presson et al. 2006). MicroMerge v2.0 enables the following aspects of control: 1) output file formats which can be handled by most statistical genetic analysis packages, 2) tailoring the algorithm to different merging scenarios, such as data sets with very different sample sizes or multiple data sets, 3) merging small data sets when a reliable set of allele frequencies are available, and 4) improving the quantity and 5) quality of merged data.

::DEVELOPER

Angela P. Presson (micromerge@genetics.ucla.edu), UCLA Human Genetics

:: SCREENSHOTS

Command Line

:: REQUIREMENTS

  • Windows /  Linux

:: DOWNLOAD

MicroMerge

:: MORE INFORMATION

Citation:

Angela P Presson , Eric M Sobel , Paivi Pajukanta , Christopher Plaisier , Daniel E Weeks , Karolina Åberg and Jeanette C Papp (2008)
Merging microsatellite data: enhanced methodology and software to combine genotype data for linkage and association analysis
BMC Bioinformatics 2008, 9:317

Spectrum 2.0 – Show Phylogenetic Information in a Data Set

Spectrum 2.0

:: DESCRIPTION

Spectrum is a program designed to read in a data file comprising aligned character arrays (such as DNA sequence data) or distance data in the form of a matrix, and perform some simple spectral analysis procedures on that data.The input file format is NEXUS, as used in PAUP and MacClade.The program reads in phylogenetic 4-state or binary data, or distance data, and outputs the bipartition spectra corresponding to the data. It can also be used it to find the tree whose expected spectrum is closest to your observed spectrum (the “closest tree” and “Manhattan tree”– see the manual). Spectrum outputs spectra in Excel format as tab-delimited text files and trees as TreeView files.

::DEVELOPER

Dr. Michael Charleston

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Macintosh

:: DOWNLOAD

Spectrum

:: MORE INFORMATION

Please register your copy of Spectrum! It costs nothing, and if you register I can keep you up to date with bugs, bug fixes, updates etc. E-mail me to register.

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