bio-sequence-slicing

name	bio-sequence-slicing
description	Slice, extract, and concatenate biological sequences and annotated records using Biopython. Use when extracting subsequences by position, splicing exons into a transcript, joining sequences, or carrying a sub-region of an annotated record (with quality scores and features) into a new record.
origin	openai4s
category	bioskills/sequence-manipulation
metadata	{"tool_type":"python","primary_tool":"Bio.Seq","third_party":{"name":"GPTomics/bioSkills","repository":"https://github.com/GPTomics/bioSkills","commit":"d91ed3d563019e649dc854c56ccd62551359488a","license":"MIT"}}

Version Compatibility

Reference examples tested with: BioPython 1.83+

Before using code patterns, verify installed versions match. If versions differ:

• Python: pip show <package> then help(module.function) to check signatures

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

Sequence Slicing

Extract sub-regions, splice non-contiguous regions, and concatenate sequences and annotated records.

"Extract a subsequence" -> Slice a Seq with 0-based half-open coordinates.

• Python: seq[start:end] (Bio.Seq)

"Pull out a sub-region but keep its quality scores and features" -> Slice the SeqRecord, not the bare Seq.

• Python: record[start:end] (Bio.SeqRecord)

"Splice exons into a transcript" -> Extract each region and concatenate.

• Python: sum((seq[s:e] for s, e in coords), Seq('')) or the + operator

The Governing Principle

Slicing a bare Seq is pure string math: seq[start:end] returns a new Seq, half-open, with no metadata to lose. Slicing a SeqRecord carries metadata, and the rule for WHAT survives is the single most error-prone part of this skill:

record[start:end] (verified against Bio/SeqRecord.__getitem__):

• PRESERVES id, name, description, and molecule_type.
• AUTO-SLICES letter_annotations (per-letter data such as PHRED phred_quality) to match the new coordinates -- this is why a FASTQ slice keeps the right per-base qualities for free.
• KEEPS only features FULLY CONTAINED in [start:end]; their locations are recalculated relative to the new start.
• SILENTLY DROPS the annotations dict (organism, taxonomy, references, comments), the dbxrefs list, and any feature that STRADDLES the slice boundary (dropped whole, never truncated). A non-trivial stride (record[::2]) drops features entirely.

Nothing warns when annotations vanish. The GenBank source feature spans the whole record, so it straddles almost any slice and disappears along with organism/taxonomy. To carry that metadata across, copy it explicitly:

sub = record[start:end]
sub.annotations = record.annotations.copy()

and re-add any boundary-straddling feature manually (with a clamped, recalculated location) if a truncated copy is needed.

Required Imports

from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from Bio import SeqIO

Coordinate Systems: the 0-based vs 1-based trap

Python and Biopython slicing is 0-based and half-open: seq[start:end] includes start, excludes end, and returns end - start letters. File formats disagree, and mixing them is a SILENT off-by-one (no error, just the wrong bases):

Source	Convention	Position 1234..5678 means
Python / Bio.Seq slice	0-based, half-open	seq[1234:5678]
GenBank / EMBL / GFF / VCF feature line	1-based, INCLUSIVE	seq[1233:5678] (subtract 1 from start only)
BED file	0-based, half-open	seq[1234:5678] (already matches Python)

The asymmetry is the catch: convert a 1-based inclusive interval by subtracting 1 from the START only; the end already lands correctly because Python's exclusive end cancels the inclusive end. Reading a coordinate straight off a GFF and slicing seq[start:end] without the -1 silently shifts everything one base left.

Bio.SeqFeature locations sidestep this entirely: they store a 0-based start and a Python-style end, so int(feature.location.start):int(feature.location.end) slices the parent directly, and feature.extract(record.seq) does the same automatically (handling strand and compound/joined locations).

def extract_1based(seq, start, end):
    '''Extract a 1-based inclusive interval (GenBank/GFF style).'''
    return seq[start - 1:end]

Slicing a Bare Seq

Slicing returns a Seq (not a string); negative indices and strides behave exactly like str (Seq has behaved like str since BioPython 1.78).

seq = Seq('ATGCGATCGATCG')
seq[0]       # 'A'  single base, 0-indexed -> returns a str
seq[-1]      # 'G'  last base
seq[0:3]     # Seq('ATG')   first 3 bases
seq[-5:]     # Seq('GATCG')  last 5
seq[::2]     # Seq('AGGTGTG')  every 2nd base (stride)
seq[::-1]    # Seq('GCTAGCTAGCGTA')  reversed (not the reverse complement)

str(record.seq) returns the raw string, but raises UndefinedSequenceError when the record's sequence content is undefined (e.g. Seq(None, length=n) from a header-only FASTA or a pysam-backed record). Guard with len() (always defined) before forcing the content to a string.

Code Patterns

Splice Non-Contiguous Regions (Exons -> Transcript)

Goal: Join several separated regions of a genomic sequence into one continuous sequence.

Approach: Extract each region with half-open coordinates and concatenate. sum() needs an explicit Seq('') start value because the default 0 cannot be added to a Seq.

def extract_regions(seq, regions):
    '''Concatenate multiple [start, end) regions in order.'''
    return sum((seq[start:end] for start, end in regions), Seq(''))

exon_coords = [(0, 50), (100, 150), (200, 250)]
mrna = extract_regions(genomic_seq, exon_coords)

For a real annotated transcript, let the feature do the work -- feature.extract honors strand and joined exon locations:

for feature in record.features:
    if feature.type == 'mRNA':
        transcript = feature.extract(record.seq)

Carry a Sub-Region into a New Annotated Record

Goal: Keep id, per-base quality, and contained features when extracting a window, and decide deliberately what metadata to carry.

Approach: Slice the SeqRecord (qualities and contained features ride along automatically), then explicitly copy the annotations dict, which slicing always drops.

sub = record[100:400]                      # qualities + contained features auto-sliced
sub.annotations = record.annotations.copy()  # organism/taxonomy/refs would be lost otherwise
sub.id = f'{record.id}:101-400'            # 1-based label for humans

To build a fresh record from a bare Seq slice instead (no source metadata to carry):

sub = SeqRecord(record.seq[100:400], id=f'{record.id}_sub', description='positions 101-400')

Extract a Feature by Type

for record in SeqIO.parse('sequence.gb', 'genbank'):
    for feature in record.features:
        if feature.type == 'CDS':
            cds = feature.extract(record.seq)      # strand-aware
            gene = feature.qualifiers.get('gene', ['?'])[0]

Concatenate Sequences and Records

seq1 + seq2                      # Seq + Seq -> Seq
seq1 + 'NNNN'                    # Seq + str -> Seq
Seq('NNN').join([s1, s2, s3])   # linker between each -> Seq

Adding SeqRecord objects works (rec1 + rec2 concatenates sequences and per-letter annotations), but follows the same rule as slicing: the result keeps id/name/description only when both share them, and the annotations dict is reset. Set metadata on the result explicitly.

Split into Codons or Fixed Chunks

def split_codons(seq):
    '''Whole codons only; trailing 1-2 nt remainder is dropped.'''
    return [seq[i:i + 3] for i in range(0, len(seq) - len(seq) % 3, 3)]

def chunk_sequence(seq, size):
    '''Fixed-size chunks; final chunk may be shorter.'''
    return [seq[i:i + size] for i in range(0, len(seq), size)]

Tile Overlapping Windows

def sliding_windows(seq, window_size, step=1):
    for i in range(0, len(seq) - window_size + 1, step):
        yield i, seq[i:i + window_size]

Flanking Region Around a Position

def get_flanking(seq, position, flank):
    '''Clamp to sequence ends so the slice never runs past the edges.'''
    start = max(0, position - flank)
    end = min(len(seq), position + flank + 1)
    return seq[start:end]

Common Errors

Symptom	Cause	Fix
Organism/taxonomy/references gone from a sub-record	record[start:end] silently drops the annotations dict and dbxrefs	sub.annotations = record.annotations.copy() after slicing
A feature spanning the cut is missing from the slice	Features straddling the boundary are dropped whole, not truncated	Re-add manually with a clamped, recalculated location
All features gone after record[::2]	A non-trivial stride drops features entirely	Slice without a stride, or rebuild features by hand
Everything shifted one base left	GFF/GenBank 1-based start sliced as if 0-based	Subtract 1 from the START only: seq[start-1:end]
UndefinedSequenceError on str(record.seq)	Sequence content undefined (Seq(None, length=n))	Use len(record); do not force undefined content to a string
TypeError from sum(slices)	Default start 0 cannot add to a Seq	Pass a start: sum(slices, Seq(''))
Reversed but wrong strand	seq[::-1] reverses only; it does not complement	Use seq.reverse_complement() (see reverse-complement)
IndexError on single-base index	Position past the end	Check len(seq) first; slices clamp but seq[i] does not

Decision Guide

• Bare sequence, no metadata to keep -> slice the Seq: seq[start:end].
• Need per-base quality or contained features to ride along -> slice the SeqRecord: record[start:end], then copy annotations.
• Coordinates came from a GFF/GenBank/EMBL/VCF line -> subtract 1 from the start before slicing.
• Coordinates came from a BED file -> use as-is (already 0-based half-open).
• Strand-aware or joined/compound location -> feature.extract(record.seq), never a manual slice.
• Joining separated regions -> sum((seq[s:e] for s, e in coords), Seq('')).

Related Skills

• seq-objects - Create Seq/SeqRecord objects and handle undefined sequence content
• reverse-complement - Reverse-complement an extracted region (slicing reverses but does not complement)
• transcription-translation - Translate an extracted CDS or spliced transcript
• sequence-io/read-sequences - Parse GenBank/FASTQ records (with features and qualities) to slice
• genome-intervals/gtf-gff-handling - Read 1-based GFF/GTF feature coordinates before slicing
• alignment-files/sam-bam-basics - Extract sequences from BAM regions with samtools