SequenceCollection

class SequenceCollection(data, names=None, alphabet=None, moltype=None, name=None, info=None, conversion_f=None, is_array=False, force_same_data=False, remove_duplicate_names=False, label_to_name=None, suppress_named_seqs=False)

Container for unaligned sequences

Attributes
num_seqs

Returns the number of sequences in the alignment.

seqs

Methods

add_seqs(other[, before_name, after_name])

Returns new object of class self with sequences from other added.

annotate_from_gff(f)

Copies annotations from gff-format file to self.

apply_pssm([pssm, path, background, …])

scores sequences using the specified pssm

copy()

Returns deep copy of self.

copy_annotations(unaligned)

Copies annotations from seqs in unaligned to self, matching by name.

counts([motif_length, include_ambiguity, …])

counts of motifs

counts_per_seq([motif_length, …])

counts of motifs per sequence

deepcopy([sliced])

Returns deep copy of self.

degap(**kwargs)

Returns copy in which sequences have no gaps.

dotplot([name1, name2, window, threshold, …])

make a dotplot between specified sequences.

entropy_per_seq([motif_length, …])

Returns the Shannon entropy per sequence.

get_ambiguous_positions()

Returns dict of seq:{position:char} for ambiguous chars.

get_identical_sets([mask_degen])

returns sets of names for sequences that are identical

get_lengths([include_ambiguity, allow_gap])

returns {name: seq length, …}

get_motif_probs([alphabet, …])

Return a dictionary of motif probs, calculated as the averaged frequency across sequences.

get_seq(seqname)

Return a sequence object for the specified seqname.

get_seq_indices(f[, negate])

Returns list of keys of seqs where f(row) is True.

get_similar(target[, min_similarity, …])

Returns new Alignment containing sequences similar to target.

get_translation([gc, incomplete_ok])

translate from nucleic acid to protein

has_terminal_stops([gc, allow_partial])

Returns True if any sequence has a terminal stop codon.

is_ragged()

Returns True if alignment has sequences of different lengths.

iter_selected([seq_order, pos_order])

Iterates over elements in the alignment.

iter_seqs([seq_order])

Iterates over values (sequences) in the alignment, in order.

omit_gap_runs([allowed_run])

Returns new alignment where all seqs have runs of gaps <=allowed_run.

omit_gap_seqs([allowed_gap_frac])

Returns new alignment with seqs that have <= allowed_gap_frac.

pad_seqs([pad_length])

Returns copy in which sequences are padded to same length.

probs_per_seq([motif_length, …])

return MotifFreqsArray per sequence

rc()

Returns the reverse complement alignment

rename_seqs(renamer)

returns new instance with sequences renamed

reverse_complement()

Returns the reverse complement alignment.

set_repr_policy([num_seqs, num_pos, …])

specify policy for repr(self)

strand_symmetry([motif_length])

returns dict of strand symmetry test results per seq

take_seqs(seqs[, negate])

Returns new Alignment containing only specified seqs.

take_seqs_if(f[, negate])

Returns new Alignment containing seqs where f(row) is True.

to_dict()

Returns the alignment as dict of names -> strings.

to_dna()

returns copy of self as an alignment of DNA moltype seqs

to_fasta()

Return alignment in Fasta format

to_json()

returns json formatted string

to_moltype(moltype)

returns copy of self with moltype seqs

to_nexus(seq_type[, wrap, interleave_len])

Return alignment in NEXUS format and mapping to sequence ids

to_phylip()

Return alignment in PHYLIP format and mapping to sequence ids

to_protein()

returns copy of self as an alignment of PROTEIN moltype seqs

to_rich_dict()

returns detailed content including info and moltype attributes

to_rna()

returns copy of self as an alignment of RNA moltype seqs

trim_stop_codons([gc, allow_partial])

Removes any terminal stop codons from the sequences

with_modified_termini()

Changes the termini to include termini char instead of gapmotif.

write([filename, format])

Write the alignment to a file, preserving order of sequences.

add_seqs(other, before_name=None, after_name=None)

Returns new object of class self with sequences from other added.

Parameters
other

same class as self or coerceable to that class

before_namestr

which sequence is added

after_namestr

which sequence is added

Notes

If both before_name and after_name are specified, the seqs will be inserted using before_name.

By default the sequence is appended to the end of the alignment, this can be changed by using either before_name or after_name arguments.

annotate_from_gff(f)

Copies annotations from gff-format file to self.

Matches by name of sequence. This method accepts string path or pathlib.Path or file-like object (e.g. StringIO)

Skips sequences in the file that are not in self.

apply_pssm(pssm=None, path=None, background=None, pseudocount=0, names=None, ui=None)

scores sequences using the specified pssm

Parameters
pssmprofile.PSSM

if not provided, will be loaded from path

path

path to either a jaspar or cisbp matrix (path must end have a suffix matching the format).

pseudocount

adjustment for zero in matrix

names

returns only scores for these sequences and in the name order

Returns
numpy array of log2 based scores at every position
copy()

Returns deep copy of self.

copy_annotations(unaligned)

Copies annotations from seqs in unaligned to self, matching by name.

Alignment programs like ClustalW don’t preserve annotations, so this method is available to copy annotations off the unaligned sequences.

unaligned should be a dictionary of Sequence instances.

Ignores sequences that are not in self, so safe to use on larger dict of seqs that are not in the current collection/alignment.

counts(motif_length=1, include_ambiguity=False, allow_gap=False, exclude_unobserved=False)

counts of motifs

Parameters
motif_length

number of elements per character.

include_ambiguity

if True, motifs containing ambiguous characters from the seq moltype are included. No expansion of those is attempted.

allow_gaps

if True, motifs containing a gap character are included.

exclude_unobserved

if True, unobserved motif combinations are excluded.

Notes

only non-overlapping motifs are counted

counts_per_seq(motif_length=1, include_ambiguity=False, allow_gap=False, exclude_unobserved=False)

counts of motifs per sequence

Parameters
motif_length

number of characters per tuple.

include_ambiguity

if True, motifs containing ambiguous characters from the seq moltype are included. No expansion of those is attempted.

allow_gap

if True, motifs containing a gap character are included.

Returns
MotifCountsArray

Notes

only non-overlapping motifs are counted

deepcopy(sliced=True)

Returns deep copy of self.

degap(**kwargs)

Returns copy in which sequences have no gaps.

dotplot(name1=None, name2=None, window=20, threshold=None, min_gap=0, width=500, title=None, rc=False, show_progress=False)

make a dotplot between specified sequences. Random sequences chosen if names not provided.

Parameters
name1, name2str or None

names of sequences. If one is not provided, a random choice is made

windowint

k-mer size for comparison between sequences

thresholdint

windows where the sequences are identical >= threshold are a match

min_gapint

permitted gap for joining adjacent line segments, default is no gap joining

widthint

figure width. Figure height is computed based on the ratio of len(seq1) / len(seq2)

title

title for the plot

rcbool or None

include dotplot of reverse compliment also. Only applies to Nucleic acids moltypes

Returns
a Drawable or AnnotatedDrawable
entropy_per_seq(motif_length=1, include_ambiguity=False, allow_gap=False, exclude_unobserved=True, alert=False)

Returns the Shannon entropy per sequence.

Parameters
motif_length: int

number of characters per tuple.

include_ambiguity: bool

if True, motifs containing ambiguous characters from the seq moltype are included. No expansion of those is attempted.

allow_gap: bool

if True, motifs containing a gap character are included.

exclude_unobserved: bool

if True, unobserved motif combinations are excluded.

Notes

For motif_length > 1, it’s advisable to specify exclude_unobserved=True, this avoids unnecessary calculations.

get_ambiguous_positions()

Returns dict of seq:{position:char} for ambiguous chars.

Used in likelihood calculations.

get_identical_sets(mask_degen=False)

returns sets of names for sequences that are identical

Parameters
mask_degen

if True, degenerate characters are ignored

get_lengths(include_ambiguity=False, allow_gap=False)

returns {name: seq length, …}

Parameters
include_ambiguity

if True, motifs containing ambiguous characters from the seq moltype are included. No expansion of those is attempted.

allow_gaps

if True, motifs containing a gap character are included.

get_motif_probs(alphabet=None, include_ambiguity=False, exclude_unobserved=False, allow_gap=False, pseudocount=0)

Return a dictionary of motif probs, calculated as the averaged frequency across sequences.

Parameters
include_ambiguity

if True resolved ambiguous codes are included in estimation of frequencies, default is False.

exclude_unobserved

if True, motifs that are not present in the alignment are excluded from the returned dictionary, default is False.

allow_gap

allow gap motif

Notes

only non-overlapping motifs are counted

get_seq(seqname)

Return a sequence object for the specified seqname.

get_seq_indices(f, negate=False)

Returns list of keys of seqs where f(row) is True.

List will be in the same order as self.names, if present.

get_similar(target, min_similarity=0.0, max_similarity=1.0, metric=<cogent3.util.transform.for_seq object>, transform=None)

Returns new Alignment containing sequences similar to target.

Parameters
target

sequence object to compare to. Can be in the alignment.

min_similarity

minimum similarity that will be kept. Default 0.0.

max_similarity

maximum similarity that will be kept. Default 1.0. (Note that both min_similarity and max_similarity are inclusive.) metric similarity function to use. Must be f(first_seq, second_seq).

The default metric is fraction similarity, ranging from 0.0 (0%
identical) to 1.0 (100% identical). The Sequence classes have lots
of methods that can be passed in as unbound methods to act as the
metric, e.g. frac_same_gaps.
transform

transformation function to use on the sequences before the metric is calculated. If None, uses the whole sequences in each case. A frequent transformation is a function that returns a specified range of a sequence, e.g. eliminating the ends. Note that the transform applies to both the real sequence and the target sequence.

WARNING: if the transformation changes the type of the sequence (e.g.
extracting a string from an RnaSequence object), distance metrics that
depend on instance data of the original class may fail.
get_translation(gc=None, incomplete_ok=False, **kwargs)

translate from nucleic acid to protein

Parameters
gc

genetic code, either the number or name (use cogent3.core.genetic_code.available_codes)

incomplete_okbool

codons that are mixes of nucleotide and gaps converted to ‘?’. raises a ValueError if False

kwargs

related to construction of the resulting object

Returns
A new instance of self translated into protein
has_terminal_stops(gc=None, allow_partial=False)

Returns True if any sequence has a terminal stop codon.

Parameters
gc

genetic code object

allow_partial

if True and the sequence length is not divisible by 3, ignores the 3’ terminal incomplete codon

is_array = {'array', 'array_seqs'}
is_ragged()

Returns True if alignment has sequences of different lengths.

iter_selected(seq_order=None, pos_order=None)

Iterates over elements in the alignment.

seq_order (names) can be used to select a subset of seqs. pos_order (positions) can be used to select a subset of positions.

Always iterates along a seq first, then down a position (transposes normal order of a[i][j]; possibly, this should change)..

WARNING: Alignment.iter_selected() is not the same as alignment.iteritems() (which is the built-in dict iteritems that iterates over key-value pairs).

iter_seqs(seq_order=None)

Iterates over values (sequences) in the alignment, in order.

seq_order: list of keys giving the order in which seqs will be returned. Defaults to self.Names. Note that only these sequences will be returned, and that KeyError will be raised if there are sequences in order that have been deleted from the Alignment. If self.Names is None, returns the sequences in the same order as self.named_seqs.values().

Use map(f, self.seqs()) to apply the constructor f to each seq. f must accept a single list as an argument.

Always returns references to the same objects that are values of the alignment.

moltype = MolType(('\x00', '\x01', '\x02', '\x03', '\x04', '\x05', '\x06', '\x07', '\x08', '\t', '\n', '\x0b', '\x0c', '\r', '\x0e', '\x0f', '\x10', '\x11', '\x12', '\x13', '\x14', '\x15', '\x16', '\x17', '\x18', '\x19', '\x1a', '\x1b', '\x1c', '\x1d', '\x1e', '\x1f', ' ', '!', '"', '#', '$', '%', '&', "'", '(', ')', '*', '+', ',', '-', '.', '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ':', ';', '<', '=', '>', '?', '@', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '[', '\\', ']', '^', '_', '`', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '{', '|', '}', '~', '\x7f', '\x80', '\x81', '\x82', '\x83', '\x84', '\x85', '\x86', '\x87', '\x88', '\x89', '\x8a', '\x8b', '\x8c', '\x8d', '\x8e', '\x8f', '\x90', '\x91', '\x92', '\x93', '\x94', '\x95', '\x96', '\x97', '\x98', '\x99', '\x9a', '\x9b', '\x9c', '\x9d', '\x9e', '\x9f', '\xa0', '¡', '¢', '£', '¤', '¥', '¦', '§', '¨', '©', 'ª', '«', '¬', '\xad', '®', '¯', '°', '±', '²', '³', '´', 'µ', '¶', '·', '¸', '¹', 'º', '»', '¼', '½', '¾', '¿', 'À', 'Á', 'Â', 'Ã', 'Ä', 'Å', 'Æ', 'Ç', 'È', 'É', 'Ê', 'Ë', 'Ì', 'Í', 'Î', 'Ï', 'Ð', 'Ñ', 'Ò', 'Ó', 'Ô', 'Õ', 'Ö', '×', 'Ø', 'Ù', 'Ú', 'Û', 'Ü', 'Ý', 'Þ', 'ß', 'à', 'á', 'â', 'ã', 'ä', 'å', 'æ', 'ç', 'è', 'é', 'ê', 'ë', 'ì', 'í', 'î', 'ï', 'ð', 'ñ', 'ò', 'ó', 'ô', 'õ', 'ö', '÷', 'ø', 'ù', 'ú', 'û', 'ü', 'ý', 'þ', 'ÿ'))
property num_seqs

Returns the number of sequences in the alignment.

omit_gap_runs(allowed_run=1)

Returns new alignment where all seqs have runs of gaps <=allowed_run.

Note that seqs with exactly allowed_run gaps are not deleted. Default is for allowed_run to be 1 (i.e. no consecutive gaps allowed).

Because the test for whether the current gap run exceeds the maximum allowed gap run is only triggered when there is at least one gap, even negative values for allowed_run will still let sequences with no gaps through.

omit_gap_seqs(allowed_gap_frac=0)

Returns new alignment with seqs that have <= allowed_gap_frac.

allowed_gap_frac should be a fraction between 0 and 1 inclusive. Default is 0.

pad_seqs(pad_length=None, **kwargs)

Returns copy in which sequences are padded to same length.

Parameters
pad_length

Length all sequences are to be padded to. Will pad to max sequence length if pad_length is None or less than max length.

probs_per_seq(motif_length=1, include_ambiguity=False, allow_gap=False, exclude_unobserved=False, alert=False)

return MotifFreqsArray per sequence

rc()

Returns the reverse complement alignment

rename_seqs(renamer)

returns new instance with sequences renamed

Parameters
renamercallable

function that will take current sequences and return the new one

reverse_complement()

Returns the reverse complement alignment. A synonymn for rc.

property seqs
set_repr_policy(num_seqs=None, num_pos=None, ref_name=None, wrap=None)

specify policy for repr(self)

Parameters
num_seqsint or None

number of sequences to include in represented display.

num_posint or None

length of sequences to include in represented display.

ref_namestr or None

name of sequence to be placed first, or “longest” (default). If latter, indicates longest sequence will be chosen.

wrapint or None

number of printed bases per row

strand_symmetry(motif_length=1)

returns dict of strand symmetry test results per seq

take_seqs(seqs, negate=False, **kwargs)

Returns new Alignment containing only specified seqs.

Note that the seqs in the new alignment will be references to the same objects as the seqs in the old alignment.

take_seqs_if(f, negate=False, **kwargs)

Returns new Alignment containing seqs where f(row) is True.

Note that the seqs in the new Alignment are the same objects as the seqs in the old Alignment, not copies.

to_dict()

Returns the alignment as dict of names -> strings.

Note: returns strings, NOT Sequence objects.

to_dna()

returns copy of self as an alignment of DNA moltype seqs

to_fasta()

Return alignment in Fasta format

Parameters
make_seqlabel

callback function that takes the seq object and returns a label str

to_json()

returns json formatted string

to_moltype(moltype)

returns copy of self with moltype seqs

to_nexus(seq_type, wrap=50, interleave_len=None)

Return alignment in NEXUS format and mapping to sequence ids

NOTE Not that every sequence in the alignment MUST come from

a different species!! (You can concatenate multiple sequences from same species together before building tree)

seq_type: dna, rna, or protein

Raises exception if invalid alignment

to_phylip()

Return alignment in PHYLIP format and mapping to sequence ids

raises exception if invalid alignment

to_protein()

returns copy of self as an alignment of PROTEIN moltype seqs

to_rich_dict()

returns detailed content including info and moltype attributes

to_rna()

returns copy of self as an alignment of RNA moltype seqs

trim_stop_codons(gc=None, allow_partial=False, **kwargs)

Removes any terminal stop codons from the sequences

Parameters
gc

genetic code object

allow_partial

if True and the sequence length is not divisible by 3, ignores the 3’ terminal incomplete codon

with_modified_termini()

Changes the termini to include termini char instead of gapmotif.

Useful to correct the standard gap char output by most alignment programs when aligned sequences have different ends.

write(filename=None, format=None, **kwargs)

Write the alignment to a file, preserving order of sequences.

Parameters
filename

name of the sequence file

format

format of the sequence file

Notes

If format is None, will attempt to infer format from the filename suffix.