sourceforge.net - Quality assessment of this mRNA Transcript Assembly Software is described in EvidentialGene_quality.
Too many transcript assemblies is much better than too few. It allows one then to apply biological criteria to pick out the best ones. Don't...
Integrated solutions CLCbio Genomics Workbench - de novo and reference assembly of Sanger, Roche FLX, Illumina, Helicos, and SOLiD data. Commercial next-gen-seq software that extends the CLCbio Main Workbench software. Includes SNP detection,...
List of generic simulation software/tools/resource with brief description and homepage
ALF A Simulation Framework for Genome Evolution http://www.cbrg.ethz.ch/alfBayesian Serial SimCoal Bayesian Serial SimCoal, (BayeSSC) is a modification of...
broadinstitute.github.io - Picard is a set of command line tools for manipulating high-throughput sequencing (HTS) data and formats such as SAM/BAM/CRAM and VCF. These file formats are defined in the Hts-specs repository. See especially the SAM specification and the VCF...
github.com - Hagfish is a tool that is to be used in data analysis of Next Generation Sequencing (NGS) experiments. Hagfish builds on the concept of coverage plots and aims to assist (amongst others) in quality control of de novo genome assembly or...
The genome assemblers generally take a file of short sequence reads and a file of quality-value as the input. Since the quality-value file for the high throughput short reads is usually highly memory-intensive, only a few assemblers, best suited for...
shendurelab.github.io - LACHESIS is method that exploits contact probability map data (e.g. from Hi-C) for chromosome-scale de novo genome assembly.
Further information about LACHESIS, including source code, documentation and a user's guide are available...
pevsnerlab.kennedykrieger.org - DRAGON: Database Referencing of Array Genes Online
SNOMAD: Standardization and Normalization of Microarray Data
SNPduo: SNP Analysis Between Two Individuals
SNPtrio: Analyzing and Visualizing and Inheritance Patterns in Trios
SNPscan: Data...