Crann (pronounced ‘crown’) is the Irish word for ‘tree’.Crann has been developed in order to provide fast heuristic methods of detecting adaptive evolution in protein-coding genes. It is important that the user understands the advantages and limitations of these methods. It is also important for the user to know that the software is designed to perform a number of different tasks, however the interpretation of the results is left entirely to the user.
DeconSeq is a tool to automatically detect and efficiently remove any type of known sequence contamination from metagenomic datasets. The tool uses a modified version of the BWA-SW aligner and can be applied to longer-read datasets (150+bp read length).
MendelSoft is an open source software which detects marker genotyping incompatibilities (Mendelian errors only) in complex pedigrees using weighted constraint satisfaction techniques. The input of the software is a pedigree data with genotyping data at a single locus. The output of the software is a list of individuals for which the removal of their genotyping data restores consistency. This list is of minimum size when the program ends.
REPPER (REPeats and their PERiodicities) is an integrated server that detects and analyzes regions with short gapless repeats in protein sequences or alignments. It finds periodicities by Fourier Transform (FTwin) and internal similarity analysis (REPwin). FTwin assigns numerical values to amino acids that reflect certain properties, for instance hydrophobicity, and gives information on corresponding periodicities. REPwin uses self-alignments and displays repeats that reveal significant internal similarities. Both programs use a sliding window to ensure that different periodic regions within the same protein are detected independently. FTwin and REPwin are complemented by secondary structure prediction (PSIPRED) and coiled coil prediction (COILS), making the server a versatile analysis tool for sequences of fibrous proteins.
JBD (Joint Binding Deconvolution) uses additional easily obtainable experimental data about chromatin immunoprecipitation (ChIP) to improve the spatial resolution of the transcription factor binding locations inferred from ChIP followed by DNA microarray hybridization (ChIP-Chip) data.