present a collection of indexed fasta files as a single source
MultiFastaDB presents a collection of indexed fasta files as a single source. The intent is to simplify accessing a virtual database of sequences that is distributed across multiple files.
$ pip install multifastadb
>>> from multifastadb import MultiFastaDB
The simplest use is by passing a list of files or directories:
>>> mfdb = MultiFastaDB(['tests/data/ncbi'])
By default, MultiFastaDB looks for files ending in .fasta, .fa, .faa, .fna, and compressed versions of these ending in .gz. (NOTE: One must use bgzip for compression; using gzip will fail on reading.)
Fasta files from NCBI contain multiple identifiers for a single sequence encoded in the accession line, such as (gi|53292629|ref|NP_001005405.1|). Optionally, MultiFastaDB will create a meta index to the ref entries:
>>> mfdb = MultiFastaDB(['tests/data/ncbi'], use_meta_index=True)
Sequences may be retrieved by the fetch() method, with optional sequence start and end bounds (in 0-based or interbase coordinates):
>>> seq = mfdb.fetch('NP_001005405.1') >>> seq = mfdb.fetch('NP_001005405.1',0,10)
NOTE: Fetching subsequences with bounds is much more efficient than:
>>> seq = mfdb.fetch('NP_001005405.1')[0:10] # Don't do this!
If a sequence occurs more than once, only the first version is returned (intentionally).
Attribute-based retrieval is also supported:
>>> seq = mfdb['NP_001005405.1'] >>> seq = mfdb['NP_001005405.1'][0:10]
Attribute-based retrieval does not fetch any sequence immediately. Instead it returns a SequenceProxy object that fetches sequence lazily and transparently. This is particularly useful for accessing large sequences (e.g., chromosomes).
The locations of a given accession may be found with the where_is() method:
>>> mfdb.where_is('gi|53292629|ref|NP_001005405.1|') # doctest: +ELLIPSIS [('...f1.human.protein.small.faa...', <pysam... object at ...>)]
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