bio-sequence-slicing

SkillDev tools

Extract, slice, and concatenate sequences using Biopython's Seq objects.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the bio-sequence-slicing skill

About this skill

The largest open-source medical AI skills library for OpenClaw🦞.

What this skill tells your AI

The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/bio-sequence-slicing/SKILL.md and read by ahel’s review.


name: bio-sequence-slicing description: Slice, extract, and concatenate biological sequences using Biopython. Use when extracting subsequences, joining sequences, or manipulating sequence regions by position. tool_type: python primary_tool: Bio.Seq measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:

  • read_file
  • run_shell_command

Sequence Slicing

Extract, slice, and concatenate sequences using Biopython's Seq objects.

Required Import

from Bio.Seq import Seq

Core Operations

Indexing (Single Position)

seq = Seq('ATGCGATCG')
seq[0]      # 'A' - first base (0-indexed)
seq[-1]     # 'G' - last base
seq[3]      # 'C' - fourth base

Slicing (Extract Region)

seq = Seq('ATGCGATCGATCG')
seq[0:3]     # Seq('ATG') - first 3 bases
seq[3:6]     # Seq('CGA') - positions 3-5
seq[:5]      # Seq('ATGCG') - first 5
seq[-5:]     # Seq('GATCG') - last 5
seq[::2]     # Seq('AGGTGTG') - every 2nd base
seq[::-1]    # Seq('GCTAGCTAGCGTA') - reversed

Note: Slicing returns a Seq object, not a string.

Concatenation

seq1 = Seq('ATGC')
seq2 = Seq('GGGG')
combined = seq1 + seq2  # Seq('ATGCGGGG')

Can also concatenate with strings:

seq = Seq('ATGC')
extended = seq + 'NNNN'  # Seq('ATGCNNNN')

Code Patterns

Extract CDS by Coordinates

genome = Seq('NNNNATGCGATCGATCGTAANNN')
cds_start, cds_end = 4, 21
cds = genome[cds_start:cds_end]

Extract with 1-Based Coordinates

Biology often uses 1-based coordinates. Convert to 0-based:

def extract_1based(seq, start, end):
    '''Extract using 1-based inclusive coordinates'''
    return seq[start - 1:end]

genome = Seq('ATGCGATCGATCG')
region = extract_1based(genome, 1, 3)  # Seq('ATG')

Split Sequence into Codons

def split_codons(seq):
    return [seq[i:i+3] for i in range(0, len(seq) - len(seq) % 3, 3)]

seq = Seq('ATGCGATCGATCG')
codons = split_codons(seq)  # [Seq('ATG'), Seq('CGA'), ...]

Split into Fixed-Length Chunks

def chunk_sequence(seq, size):
    return [seq[i:i+size] for i in range(0, len(seq), size)]

seq = Seq('ATGCGATCGATCGATCGATCG')
chunks = chunk_sequence(seq, 10)

Join Sequences with Linker

seqs = [Seq('ATGC'), Seq('GGGG'), Seq('TTTT')]
linker = Seq('NNN')
joined = linker.join(seqs)  # Seq('ATGCNNNGGGGNNTTTT')

Or manually:

linker = 'NNN'
joined = Seq(linker.join(str(s) for s in seqs))

Extract Multiple Regions

def extract_regions(seq, regions):
    '''Extract and concatenate multiple regions'''
    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)

Extract Flanking Regions

def get_flanking(seq, position, flank_size):
    '''Get sequence around a position'''
    start = max(0, position - flank_size)
    end = min(len(seq), position + flank_size + 1)
    return seq[start:end]

seq = Seq('ATGCGATCGATCGATCGATCG')
flanking = get_flanking(seq, 10, 5)  # 5 bp on each side of position 10

Tile Sequence into Overlapping Windows

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

seq = Seq('ATGCGATCGATCG')
for window in sliding_windows(seq, 5, 2):
    print(window)

Extract Feature from SeqRecord

from Bio import SeqIO

for record in SeqIO.parse('sequence.gb', 'genbank'):
    for feature in record.features:
        if feature.type == 'CDS':
            cds_seq = feature.extract(record.seq)
            print(f'{feature.qualifiers.get("gene", ["?"])[0]}: {cds_seq[:30]}...')

Create New SeqRecord from Slice

from Bio.SeqRecord import SeqRecord

original = SeqRecord(Seq('ATGCGATCGATCGATCG'), id='full', description='Full sequence')
subset = SeqRecord(original.seq[5:15], id='subset', description=f'Positions 5-15 of {original.id}')

Coordinate Systems

SystemPosition 1Example
0-based (Python)Index 0seq[0:3] gets positions 0, 1, 2
1-based (Biology)Index 1Position 1-3 = seq[0:3]
0-based half-openStart inclusive, end exclusiveStandard Python slicing

Common Errors

ErrorCauseSolution
IndexErrorIndex out of rangeCheck sequence length first
Unexpected lengthOff-by-one errorRemember end index is exclusive
Empty resultStart >= endCheck coordinate order
Wrong positions1-based vs 0-based confusionConvert coordinates explicitly

Decision Tree

Need to extract or combine sequences?
β”œβ”€β”€ Single position?
β”‚   └── Use indexing: seq[i]
β”œβ”€β”€ Contiguous region?
β”‚   └── Use slicing: seq[start:end]
β”œβ”€β”€ Multiple non-contiguous regions?
β”‚   └── Extract each, concatenate with +
β”œβ”€β”€ Join sequences?
β”‚   β”œβ”€β”€ No linker: seq1 + seq2
β”‚   └── With linker: linker.join(seqs)
β”œβ”€β”€ Split into parts?
β”‚   └── List comprehension with slicing
└── From GenBank features?
    └── Use feature.extract(record.seq)

Related Skills

  • seq-objects - Create Seq and SeqRecord objects
  • sequence-io/read-sequences - Parse GenBank files with features to extract
  • transcription-translation - Translate extracted CDS regions
  • alignment-files - Extract sequences from BAM using samtools fasta/fastq

Signals

GitHub stars
3k
Forks
412
Last commit
Jul 2026

ahel review

  • K1binfo
    installs-packages (in usage-guide.md)

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Item type
skill
Key
bio-sequence-slicing
Source
github.com/freedomintelligence/openclaw-medical-skills