This module provides functionality for working with biological sequences, including generic sequences, nucelotide sequences, DNA sequences, and RNA sequences. Class methods and attributes are also available to obtain valid character sets, complement maps for different sequence types, and for obtaining degenerate character definitions.
|BiologicalSequence(sequence[, id, ...])||Base class for biological sequences.|
|NucleotideSequence(sequence[, id, ...])||Base class for nucleotide sequences.|
|DNASequence(sequence[, id, description, ...])||Base class for DNA sequences.|
|RNASequence(sequence[, id, description, ...])||Base class for RNA sequences.|
|ProteinSequence(sequence[, id, description, ...])||Base class for protein sequences.|
>>> from skbio.core.sequence import DNASequence, RNASequence
New sequences are created with optional id and description fields.
>>> d1 = DNASequence('ACC--G-GGTA..') >>> d1 = DNASequence('ACC--G-GGTA..',id="seq1") >>> d1 = DNASequence('ACC--G-GGTA..',id="seq1",description="GFP")
New sequences can also be created from existing sequences, for example as their reverse complement or degapped (i.e., unaligned) version.
>>> d2 = d1.degap() >>> d1 <DNASequence: ACC--G-GGT... (length: 13)> >>> d2 <DNASequence: ACCGGGTA (length: 8)> >>> d3 = d2.reverse_complement() >>> d3 <DNASequence: TACCCGGT (length: 8)>
It’s also straight-forward to compute distances between sequences (optionally using user-defined distance metrics, default is Hamming distance) for use in sequence clustering, phylogenetic reconstruction, etc.
>>> d4 = DNASequence('GACCCGCT') >>> d5 = DNASequence('GACCCCCT') >>> d3.distance(d4) 0.25 >>> d3.distance(d5) 0.375
Class-level methods contain information about the molecule types.
>>> DNASequence.iupac_degeneracies()['B'] set(['C', 'T', 'G'])
>>> RNASequence.iupac_degeneracies()['B'] set(['C', 'U', 'G'])
>>> DNASequence.is_gap('-') True
NucleotideSequences can be translated using a GeneticCode object.
>>> d6 = DNASequence('ATGTCTAAATGA') >>> from skbio.core.genetic_code import GeneticCodes >>> gc = GeneticCodes >>> gc.translate(d6) <ProteinSequence: MSK* (length: 4)>