Software
Software applications that have
been developed as part of the research carried out at this lab are
available for download here. All software is freely available and
distributed under the terms of the GNU Pubic License Agreement
(Version 3). A copy of the agreement can be found here
Sliding Window Analysis Procedure to detect Selective Constraints (SWAPSC)
SWAPSCv1.0 is the first version of the Sliding Window Analysis
Procedure to detect Selective Constraints in protein-coding genes.
The software was previously written in PERL (2002). The large
amount of information data generated and the exhaustive screening
algorithm of selective constraints required the performance of a
more friendly and easy-to-run software.This software include an
automatic windowing screening for selective constraints and the
Kimura's method of Li (1993) to compare synonymous and
non-synonymous nucleotide estimated substitution rates with those
expected under neutrality.
Readme file describing
the usage of SWAPSC
Genome Reduction Analysing Software Tool (GRAST). GRAST allows the
user to analyse genome reduction by whole genome comparison
between a reduced genome and a reference genome (a close relative
to the reduced genome). A number of the options in GRAST can also
be used for a whole genome comparison of non-reduced genomes.
Readme file describing
the usage of GRAST
Clustering Analysis of Functional Shifts (CAFS)
cafs_src.zip
cafs1.0_mac10.6.zip
cafs1.0_linux.zip(any bugs here should be fixed now)
cafs user manual
cafs1.0_mac10.6.zip
cafs1.0_linux.zip(any bugs here should be fixed now)
cafs user manual
This is the
first version of CAFS. This program analyses alignments and
provides the user with the best putative sites under functional
divergence.
Coevolution Analysis using Protein Sequences (CAPS)
CAPSv2.0
caps2.0_src.zip
caps2.0_mac-64-bit.zip
caps2.0_mac10.6.zip
caps2.0_mac10.5.zip
caps2.0_linux_x86_64-bit.zip
caps2.0_linux_x86_32-bit.zip
caps_manual.pdf
is the second version of the software aimed at measuring the coevolution between amino acid sites belonging to the same protein(intra-molecular coevolution) or to two functionally or physically interacting proteins (inter-molecular coevolution). The Software implements an improved method to detect intra-molecular coevolution as published in Genetics (Fares and Travers, 2006) and also inter-protein coevolution analysis. The improved scoring of amino acid sites is obtained by maximum likelihood ancestral state reconstruction along with simulations to assess significance. In addition to these improvements we also implement a test which assesses whether two proteins are interacting. This version is provided in C++ with both source code and binary distributions for a number of popular operating systems. This update also represents a significant speed increase on the previous version.
CAPSv1.0
caps2.0_src.zip
caps2.0_mac-64-bit.zip
caps2.0_mac10.6.zip
caps2.0_mac10.5.zip
caps2.0_linux_x86_64-bit.zip
caps2.0_linux_x86_32-bit.zip
caps_manual.pdf
is the second version of the software aimed at measuring the coevolution between amino acid sites belonging to the same protein(intra-molecular coevolution) or to two functionally or physically interacting proteins (inter-molecular coevolution). The Software implements an improved method to detect intra-molecular coevolution as published in Genetics (Fares and Travers, 2006) and also inter-protein coevolution analysis. The improved scoring of amino acid sites is obtained by maximum likelihood ancestral state reconstruction along with simulations to assess significance. In addition to these improvements we also implement a test which assesses whether two proteins are interacting. This version is provided in C++ with both source code and binary distributions for a number of popular operating systems. This update also represents a significant speed increase on the previous version.
CAPSv1.0
CAPS 1.0 is the first version of the software aimed at measuring
the coevolution between amino acid sites belonging to the same
protein(intra-molecular coevolution) or to two functionally or
physically interacting proteins (inter-molecular coevolution).
The Software implements the method to detect intro-molecular
coevolution as published in Genetics (Fares and Travers, 2006)
but it also includes several other anayyses unpublished to date,
such as the preliminary analysis of compensatory mutations and
inter-protein coevolution analysis. New modules have been
introduced to conduct preliminary analyses of compensatory
mutations. These analyses include the detection of correlation
in the evolution of hydrophobic or molecular weight
characteristics of two amino acid sites in a multiple sequence
alignment. Further, unlike the previous Beta versions developed
to detect intra-molecular coevolution by implementing the method
Fares and Travers (2006), this first released version includes
other analyses that permit the identification of inter-molecular
coevolution and the inference of protein-protein functional
interactions.
Readme file describing
the usage of CAPS
CAPSv1.0 server
A Web-based version of CAPS (CAPS Server) is now available for your convenience. This application is based on CAPS Version 1.0 and also uses the newly developed Coevolution Visualization Tools to generate images that highlight co-evolving amino acids.
For the visualization of coevolving amino acids two programs
were developed: 1. coevolution is a program that creates a
'ball-and-sticks' model; 2. structure generates a more realistic
image using the 3-D structure in PDB format. These tools are
being used by CAPS Server for generating snapshots that are part
of the results output. You can download their source code, which
was written in C++ and compile it under any environment that
supports the OpenSceneGraph tool kit. For Windows XP a binary
version is provided. Together with the input files generated by
CAPS Server you can then explore your protein and the
co-evolving amino acids more interactively, i.e. zoom in and out
and rotate an image. The programs have been developed by Miguel
Angel Gamon at the University of Valencia under supervision of
Dr. Mario Fares.