BioPerl uses Dist::Zilla to author releases. You
will also need the Dist::Zilla::PluginBundle::BioPerl
installed as
well as its dependencies. Then, you can run the following commands:
dzil test
dzil install
The bioperl-live repository structure is organized as follows:
-
lib/
- BioPerl modules -
examples/
- Scripts demonstrating the many uses of BioPerl -
scripts/
- Useful production-quality scripts with POD documentation -
t/
- Perl built-in tests, tests are divided into subdirectories based on the specific classes being tested -
t/data/
- Data files used for the tests, provides good example data -
travis_scripts/
- script to customize Travis
The BioPerl project is split over multiple Perl module distributions. The BioPerl distribution is the BioPerl core distribution, including a selection of modules and namespaces but not all. For example, the entire Bio::Biblio is not included in the BioPerl distribution. Similarly, while many Bio::SearchIO modules in the BioPerl distribution, there also Bio::SearchIO modules in other distributions such as Bio-SearchIO-blastxml.
This section describes most of the Bio:: namespaces developed by the BioPerl project, including those which are not part of the BioPerl distribution. For example, the Bio::Biblio and Bio::Assembly are documented here but are not part of the BioPerl distribution.
-
Bio::Seq
is for Sequences (protein and DNA).Bio::PrimarySeq
is a plain sequence (sequence data + identifiers)Bio::Seq
is a fancierPrimarySeq
, in that it has annotation (viaBio::Annotation::Collection
) and sequence features (viaBio::SeqFeatureI
objects, attached viaBio::FeatureHolderI
).Bio::Seq::RichSeq
is all of the above, plus it has slots for extra information specific to GenBank/EMBL/SwissProt files.Bio::Seq::LargeSeq
is for sequences which are too big for fitting into memory.
-
Bio::SeqIO
is for reading and writing Sequences. It is a front end module for separate driver modules supporting the different sequence formats. -
Bio::SeqFeature
represent start/stop/strand-based localised annotations (features) of sequencesBio::SeqFeature::Generic
is basic catchallBio::SeqFeature::Similarity
a similarity sequence featureBio::SeqFeature::FeaturePair
a sequence feature which is pairwise such as query/hit pairs
-
Bio::SearchIO
is for reading and writing pairwise alignment reports, like BLAST or FASTA. -
Bio::Search
is where the alignment objects forSearchIO
are definedBio::Search::Result::GenericResult
is the result object (a blast query is aResult
object)Bio::Search::Hit::GenericHit
is theHit
object (a query will have 0 to many hits in a database)Bio::Search::HSP::GenericHSP
is the High-scoring Segment Pair object defining the alignment(s) of the query and hit.
-
Bio::SimpleAlign
is for multiple sequence alignments -
Bio::AlignIO
is for reading and writing multiple sequence alignment formats -
Bio::Assembly
provides the start of an infrastructure for assemblies andBio::Assembly::IO
IO converters for them -
Bio::DB
is the namespace for database query classesBio::DB::GenBank/GenPept
are two modules which query NCBI entrez for sequences.Bio::DB::SwissProt/EMBL
query various EMBL and SwissProt repositories for a sequences.Bio::DB::GFF
is Lincoln Stein's fast, lightweight feature and sequence database which is the backend to his GBrowse system.Bio::DB::Flat
is a fast implementation of the OBDA flat-file indexing system (cross-language and cross-platform supported by O|B|F projects see http://obda.open-bio.org).Bio::DB::BioFetch/DBFetch
for OBDA, Web (HTTP) access to remote databases.Bio::DB::InMemoryCache/FileCache
(fast local caching of sequences from remote dbs to speed up your access).Bio::DB::Registry
interface to the OBDA specification for remote data sources.Bio::DB::Biblio
for access to remote bibliographic databases.Bio::DB::EUtilities
is the initial set of modules used for generic queried using NCBI's eUtils.
-
Bio::Annotation
collection of annotation objects (comments, DBlinks, References, and misc key/value pairs) -
Bio::Coordinate
** is a system for mapping between different coordinate systems such as DNA to protein or between assemblies -
Bio::Index
is for locally indexed flatfiles with BerkeleyDB -
Bio::Tools
contains many miscellaneous parsers and functions for different bioinformatics needs such as:- Gene prediction parser (Genscan, MZEF, Grail, Genemark)
- Annotation format (GFF)
- Enumerate codon tables and valid sequences symbols (CodonTable, IUPAC)
- Phylogenetic program parsing (PAML, Molphy, Phylip)
-
Bio::Map
represents genetic and physical map representations -
Bio::Structure
parse and represent protein structure data -
Bio::TreeIO
is for reading and writing Tree formats -
Bio::Tree
is the namespace for all associated Tree classesBio::Tree::Tree
is the basic tree objectBio::Tree::Node
are the nodes which make up the treeBio::Tree::Statistics
is for computing statistics for a treeBio::Tree::TreeFunctionsI
is where specific tree functions are implemented (likeis_monophyletic
andlca
)
-
Bio::Biblio
is where bibliographic data and database access objects are kept -
Bio::Variation
represent sequences with mutations and variations applied so one can compare and represent wild-type and mutation versions of a sequence. -
Bio::Root
are basic objects for the internals of BioPerl
BioPerl currently uses a semantic versioning
scheme for version numbers. Basically, a version has three numbers in
the form MAJOR.MINOR.PATH
, each of which changes when:
MAJOR
--- incompatible API changes,MINOR
--- new functionality in a backwards-compatible manner,PATCH
--- backwards-compatible bug fixes.
Before 1.7 release, the BioPerl project had a single distribution with all of BioPerl modules. During the 1.7 release series, subsets of the modules were extracted into separate distribution.
From version 1.0 until 1.6, even numbers (e.g. version 1.4) indicated
stable releases. Stable releases were well tested and recommended for
most uses. Odd numbers (e.g. version 1.3) were development releases
which one would only use if interested in the latest features. The
final number (e.g. in 1.2.1
) is the point or patch release. The
higher the number the more bug fixes has been incorporated. In theory
you can upgrade from one point or patch release to the next with no
changes to your own code (for production cases, obviously check things
out carefully before you switch over).