Biopython
davila7/claude-code-templates
Primary Python toolkit for molecular biology. An agent skill from davila7/claude-code-templates.
Slice, extract, and concatenate biological sequences and annotated records using Biopython.
$ npx skills add GPTomics/bioSkills --skill bio-sequence-slicing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GPTomics/bioSkills bio-sequence-slicing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sequence-manipulation/sequence-slicing .claude/skills/bio-sequence-slicing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "bio-sequence-slicing" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/sequence-slicing into .claude/skills/bio-sequence-slicing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-sequence-slicing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/sequence-slicingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add GPTomics/bioSkills --skill bio-sequence-slicing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GPTomics/bioSkills bio-sequence-slicing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/sequence-manipulation/sequence-slicing .agents/skills/bio-sequence-slicing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bio-sequence-slicing" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/sequence-slicing into .agents/skills/bio-sequence-slicing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-sequence-slicing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GPTomics/bioSkills --skill bio-sequence-slicing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GPTomics/bioSkills bio-sequence-slicing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/sequence-manipulation/sequence-slicing .cursor/skills/bio-sequence-slicing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "bio-sequence-slicing" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/sequence-slicing into .cursor/skills/bio-sequence-slicing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-sequence-slicing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/GPTomics/bioSkills.git --path sequence-manipulation/sequence-slicing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add GPTomics/bioSkills --skill bio-sequence-slicing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GPTomics/bioSkills bio-sequence-slicing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/sequence-manipulation/sequence-slicing .gemini/skills/bio-sequence-slicing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "bio-sequence-slicing" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/sequence-slicing into .gemini/skills/bio-sequence-slicing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-sequence-slicing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install GPTomics/bioSkills bio-sequence-slicingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add GPTomics/bioSkills --skill bio-sequence-slicing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .github/skills && cp -r skills-src/sequence-manipulation/sequence-slicing .github/skills/bio-sequence-slicing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "bio-sequence-slicing" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/sequence-slicing into .github/skills/bio-sequence-slicing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-sequence-slicing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GPTomics/bioSkills --skill bio-sequence-slicing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GPTomics/bioSkills bio-sequence-slicing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/sequence-manipulation/sequence-slicing .opencode/skills/bio-sequence-slicing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "bio-sequence-slicing" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/sequence-slicing into .opencode/skills/bio-sequence-slicing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-sequence-slicing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
bio-sequence-slicingSlice, extract, and concatenate biological sequences and annotated records using Biopython.
Bio Sequence Slicing is an agent skill from GPTomics/bioSkills. 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.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `examples/basic_slicing.py`, `examples/chunking.py` and `examples/concatenation.py`).
It sits in Research & Science, covering Bioinformatics. It works with Biopython and Python. The repository describes itself as: a set of SKILLS.md for doing bioinformatics with agents like claude code. The licence is MIT.
Read from SKILL.md and the folder at commit d91ed3d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Bio Sequence Slicing loads about 2.7k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 984 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from GPTomics/bioSkills at commit d91ed3d, republished under its MIT licence (© GPTomics). 984 words, ~2,697 tokens.
.claude/skills/bio-sequence-slicing/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Reference examples tested with: BioPython 1.83+
Before using code patterns, verify installed versions match. If versions differ:
pip show <package> then help(module.function) to check signaturesIf code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
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.
seq[start:end] (Bio.Seq)"Pull out a sub-region but keep its quality scores and features" -> Slice the SeqRecord, not the bare Seq.
record[start:end] (Bio.SeqRecord)"Splice exons into a transcript" -> Extract each region and concatenate.
sum((seq[s:e] for s, e in coords), Seq('')) or the + operatorSlicing 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__):
id, name, description, and molecule_type.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.[start:end]; their locations are recalculated relative to the new start.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.
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from Bio import SeqIOPython 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 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.
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)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 humansTo 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')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]seq1 + seq2 # Seq + Seq -> Seq
seq1 + 'NNNN' # Seq + str -> Seq
Seq('NNN').join([s1, s2, s3]) # linker between each -> SeqAdding 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.
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)]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]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]| 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 |
Seq: seq[start:end].SeqRecord: record[start:end], then copy annotations.feature.extract(record.seq), never a manual slice.sum((seq[s:e] for s, e in coords), Seq('')).© GPTomics, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files in sequence-manipulation/sequence-slicing of GPTomics/bioSkills.
Open the folder on GitHubat commit d91ed3d
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in GPTomics/bioSkills, which our catalogue first saw on October 7, 2026.
Bio Sequence Slicing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Bio Sequence Slicing this skillGPTomics/bioSkills | 1.2k | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Biopythondavila7/claude-code-templates | 32k | 12 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Ggetdavila7/claude-code-templates | 32k | 10 repos | ~6.3k | Automated safety check: Pass | MIT | |
| GgetK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.8k | Automated safety check: Notes | BSD-2-Clause | |
| BiopythonK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.3k | Automated safety check: Notes | MIT | |
| Biopythonlamm-mit/scienceclaw | 244 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 |
davila7/claude-code-templates
Primary Python toolkit for molecular biology. An agent skill from davila7/claude-code-templates.
davila7/claude-code-templates
CLI/Python toolkit for rapid bioinformatics queries. An agent skill from davila7/claude-code-templates.
K-Dense-AI/scientific-agent-skills
Queries 20+ bioinformatics resources through CLI/Python. An agent skill from K-Dense-AI/scientific-agent-skills.
K-Dense-AI/scientific-agent-skills
Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez).
lamm-mit/scienceclaw
Computational molecular biology library (sequence I/O, alignment, phylogenetics).
FreedomIntelligence/OpenClaw-Medical-Skills
Read and write compressed sequence files (gzip, bzip2, BGZF) using Biopython.
GPTomics/bioSkills
Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO.
GPTomics/bioSkills
Installs the bioSkills collection of 425 bioinformatics skills in one step, or only chosen categories, so sequencing, RNA-seq, single-cell and variant tasks get specialized help.
GPTomics/bioSkills
Write biological sequences to files (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO.
GPTomics/bioSkills
Soft- or hard-clips PCR primer footprints from aligned amplicon BAMs so primer bases stop masquerading as confirmed reference sequence.
GPTomics/bioSkills
Filters BAM alignments by FLAG bits, mapping quality and regions with samtools view or pysam, with recipes for common keep and drop cases.
GPTomics/bioSkills
Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam.
Categories
Slice, extract, and concatenate biological sequences and annotated records using Biopython. Bio Sequence Slicing is an agent skill from GPTomics/bioSkills. Slice, extract, and concatenate biological sequences and annotated records using Biopython.
Bio Sequence Slicing fits situations like: extracting subsequences by position; splicing exons into a transcript; joining sequences; carrying a sub-region of an annotated record (with quality scores and features) into a new record.
Run `npx skills add GPTomics/bioSkills --skill bio-sequence-slicing -a claude-code`. Or copy the skill folder (sequence-manipulation/sequence-slicing in GPTomics/bioSkills) into .claude/skills/bio-sequence-slicing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add GPTomics/bioSkills --skill bio-sequence-slicing -a codex`. Or copy the skill folder (sequence-manipulation/sequence-slicing in GPTomics/bioSkills) into .agents/skills/bio-sequence-slicing in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GPTomics/bioSkills --skill bio-sequence-slicing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bio-sequence-slicing, .gemini/skills/bio-sequence-slicing, .github/skills/bio-sequence-slicing and .opencode/skills/bio-sequence-slicing in your project.
Going by SKILL.md and its folder, Bio Sequence Slicing needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Bio Sequence Slicing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Bio Sequence Slicing: Biopython (davila7/claude-code-templates, 32k stars), Gget (davila7/claude-code-templates, 32k stars), Gget (K-Dense-AI/scientific-agent-skills, 48k stars) and Biopython (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
GPTomics (a GitHub organization) maintains it in GPTomics/bioSkills, which has 1,217 GitHub stars. The repository holds 559 skills in this directory. The repository was last updated on August 15, 2026.
Source: GPTomics/bioSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.