Biopython

A beta release for Biopython 1.54 is now available for download and testing.

Since Biopython 1.53 was released at the end of last year, several new features and more documentation have been added, plus the usual bug fixes. For full details see the NEWS file.

All the new features have been tested by the dev team but it’s possible there are cases that we haven’t been able to foresee and test, especially for the updated multiple sequence alignment object (which is what you’ll now get when parsing alignments with Bio.AlignIO), the new Bio.Phylo module, and the Bio.SeqIO support for Standard Flowgram Format (SFF) files.

The Open Bioinformatics Foundation has been accepted as a mentoring organization for this summer’s Google Summer of Code.  Our list of project ideas and mentors is linked from the O|B|F GSoC page.

Student applications must be submitted to Google by April 9, 2010, see the official GSoC 2010 FAQ. That is less than three weeks away!

I’m delighted to announce an open access publication in Nucleic Acids Research describing the FASTQ file format based on the conventions agreed by the OBF projects:

The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants Peter J. A. Cock ( Biopython), Christopher J. Fields ( BioPerl), Naohisa Goto ( BioRuby), Michael L. Heuer ( BioJava) and Peter M. Rice ( EMBOSS). Nucleic Acids Research, doi:10.1093/nar/gkp1137

This will hopefully serve as a reference describing the original standard Sanger FASTQ, and the two variants from Solexa/Illumina, and how to inter-convert between them.

We are pleased to announce the availability of Biopython 1.53, a new stable release of the Biopython library, three months after the release of Biopython 1.52. This is our first release since migrating from CVS to git for source code control.

There have been some additions to our core objects - the Seq (and related UnknownSeq) objects gained upper and lower methods (like the string methods of the same name but alphabet aware) plus a new ungap method. The SeqFeature object now has an extract method to get the region of sequence it describes (useful for getting CDS nucleotide sequences from GenBank files). Also SeqRecord objects now support addition, giving a new SeqRecord with the combined sequence, all the SeqFeatures, and any common annotation.

Biopython 1.51 onward includes support for Sanger, Solexa and Illumina 1.3+ FASTQ files in Bio.SeqIO, which allows a lot of neat tricks very concisely. For example, the tutorial ( PDF) has examples finding and removing primer or adaptor sequences.

However, because the Bio.SeqIO interface revolves around SeqRecord objects there is often a speed penalty. For example for FASTQ files, the quality string gets turned into a list of integers on parsing, and then re-encoded back to ASCII on writing.

The release of Biopython 1.52 earlier this week marked the end of an era, it was our last release using CVS for source code control.

As of now, Biopython is using a git repository, hosted on github.com who kindly provide git hosting for open source projects free of charge. The BioRuby project have been using github for some time, so we are in good company.

Our existing OBF hosted CVS repository will be maintained in the short to medium term as a backup, but will not be updated.

We are pleased to announce the availability of Biopython 1.52, a new stable release of the Biopython library.

It may only have been one month since the last release, but in that time we’ve added enough useful features to warrant a new release. In particular, Biopython 1.52 includes more substantial support for population genetics, and adds new functions that will be useful for people working with next generation sequencing.

Tiago Antao’s work on the Population Genetics module brings a command line wrapper for GenePop which allows the estimation of F-statistics, null allele frequencies and migration rates as well as tests for isolation by distance (IBD) and deviation from Hardy-Weinberg equilibrium.

As per Peter’s recent post we are using this space to show of a couple of the new features in Biopython 1.52 before it is released. In this post we’ll look at the new convert() function that both Bio.SeqIO and Bio.AlignIO will get in Biopython 1.52.

No one has ever complained that bioinformatics just doesn’t have enough file formats - you probably frequently find yourself converting sequence files to suit particular applications with Bio.SeqIO. At the moment this is usually a two step process, something like this:

The forthcoming release of Biopython 1.52 will include a couple of nice improvements to the Bio.SeqIO module, and here we’re going to introduce the new index function. This will of course be covered in the Biopython Tutorial & Cookbook ( PDF) once this code is released.

Suppose you have a large sequence file with many many individual sequences in it. This could be next generation sequence data for example, maybe a FASTQ, FASTA or QUAL file. Or, it might be a big annotation rich file, such as the whole of UniProt, or a chunk of GenBank.