This is the base class for the Bio::Phylo package. All other modules
inherit from it, the methods defined here are applicable to all. Consult
the manual for usage examples: Bio::Phylo::Manual.
Bio::SCF module allows you to read and update (in a restricted
way) SCF chromatographic sequence files. It is an interface to
Roger Staden's io-lib. See the installation directions for further
instructions.
Bioperl-run contain modules that provides a PERL interface to various
bioinformatics applications. This allows various applications to be used
with common Bioperl objects.
The Bioperl Project is an international association of developers of open
source Perl tools for bioinformatics, genomics and life science research.
Bioperl is a collection of object-oriented Perl modules created by the
Bioperl Project. It forms the basis of a large number of bioinformatics and
genomics applications.
(For an interesting aside on "How Perl saved the Human Genome Project", see
http://www.bioperl.org/wiki/How_Perl_saved_human_genome)
TransDecoder identifies candidate coding regions within transcript
sequences, such as those generated by de novo RNA-Seq transcript
assembly using Trinity, or constructed based on RNA-Seq alignments
to the genome using Tophat and Cufflinks.
PHYLIP (the PHYLogeny Inference Package) is a package of programs for
inferring phylogenies (evolutionary trees). Methods that are available
in the package include parsimony, distance matrix, and likelihood
methods, including bootstrapping and consensus trees. Data types that
can be handled include molecular sequences, gene frequencies,
restriction sites, distance matrices, and 0/1 discrete characters.
PhyML is a software that estimates maximum likelihood phylogenies from
alignments of nucleotide or amino acid sequences. It provides a wide
range of options that were designed to facilitate standard phylogenetic
analyses. The main strengths of PhyML lies in the large number of
substitution models coupled to various options to search the space of
phylogenetic tree topologies, going from very fast and efficient methods
to slower but generally more accurate approaches. It also implements two
methods to evaluate branch supports in a sound statistical framework
(the non-parametric bootstrap and the approximate likelihood ratio
test). PhyML was designed to process moderate to large data sets. In
theory, alignments with up to 4,000 sequences 2,000,000 character-long
can analyzed. In practice however, the amount of memory required to
process a data set is proportional of the product of the number of
sequences by their length. Hence, a large number of sequences can only
be processed provided that they are short. Also, PhyML can handle long
sequences provided that they are not numerous. With most standard
personal computers, the "comfort zone" for PhyML generally lies around 3
to 500 sequences less than 2,000 character long.
PLINK is a free, open-source whole genome association analysis toolset,
designed to perform a range of basic, large-scale analyses in a
computationally efficient manner.
PLINK/SEQ is an open-source C/C++ library for working with human
genetic variation data. The specific focus is to provide a platform
for analytic tool development for variation data from large-scale
resequencing and genotyping projects, particularly whole-exome and
whole-genome studies. It is independent of (but designed to be
complementary to) the existing PLINK package.
PSI/88 Version 1.0 by W. L. Jorgensen & D. L. Severance
To plot wavefunctions in three dimensions from
semi-empirical and most popular ab initio basis sets.
Valence semi-empirical, STO-3G, 3-21++G(*) and
6-31++G(d,p) basis sets are implemented for atoms
H-Ar.
On-line manual is available at this web site.
You can also download the source code of psi88 from
the above site as a ``psi88.tar.gz''. When you do ungzip and
untar this archive, you will obtain some documents and
the ``psi88.tar.Z'' file which is required at this port.