bio-transcription-translation
SkillDev toolsConvert between DNA, RNA, and protein sequences using Biopython.
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About this skill
The largest open-source medical AI skills library for OpenClawπ¦.
What this skill tells your AI
The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/bio-transcription-translation/SKILL.md and read by Ahelβs review.
name: bio-transcription-translation description: Transcribe DNA to RNA and translate to protein using Biopython. Use when converting between DNA, RNA, and protein sequences, finding ORFs, or using alternative codon tables. 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
Transcription and Translation
Convert between DNA, RNA, and protein sequences using Biopython.
Required Import
from Bio.Seq import Seq
Core Methods
Transcription (DNA to RNA)
dna = Seq('ATGCGATCGATCG')
rna = dna.transcribe() # Returns Seq('AUGCGAUCGAUCG')
Transcription replaces T with U. Works on coding strand (5' to 3').
Back Transcription (RNA to DNA)
rna = Seq('AUGCGAUCGAUCG')
dna = rna.back_transcribe() # Returns Seq('ATGCGATCGATCG')
Translation (RNA/DNA to Protein)
# From coding DNA (includes ATG start)
coding_dna = Seq('ATGTTTGGT')
protein = coding_dna.translate() # Returns Seq('MFG')
# From RNA
rna = Seq('AUGUUUGGU')
protein = rna.translate() # Returns Seq('MFG')
Translation Options
Stop at First Stop Codon
seq = Seq('ATGTTTGGTTAAGGG')
protein = seq.translate(to_stop=True) # Stops at TAA, excludes stop
Include Stop Codon Symbol
seq = Seq('ATGTTTGGTTAA')
protein = seq.translate() # Returns Seq('MFG*')
Alternative Codon Tables
Biopython supports NCBI codon tables. Common tables:
| ID | Name | Use Case |
|---|---|---|
| 1 | Standard | Default, most organisms |
| 2 | Vertebrate Mitochondrial | Human/vertebrate mitochondria |
| 4 | Mold Mitochondrial | Fungi, protozoa mitochondria |
| 5 | Invertebrate Mitochondrial | Insects, worms mitochondria |
| 6 | Ciliate Nuclear | Tetrahymena, Paramecium |
| 11 | Bacterial/Archaeal | Prokaryotes, plastids |
# Bacterial translation
seq = Seq('ATGTTTGGT')
protein = seq.translate(table=11)
# Mitochondrial translation
protein = seq.translate(table=2)
# By name
protein = seq.translate(table='Vertebrate Mitochondrial')
CDS Translation (Complete Coding Sequence)
For validated coding sequences with proper start/stop:
cds = Seq('ATGTTTGGTTAA') # Must start with start codon, end with stop
protein = cds.translate(cds=True) # Validates and removes stop
The cds=True option:
- Validates start codon (ATG or alternative)
- Validates stop codon at end
- Removes stop codon from result
- Raises error if invalid CDS
Code Patterns
Basic Transcription and Translation Pipeline
dna = Seq('ATGTTTGGTCATTAA')
rna = dna.transcribe()
protein = rna.translate()
print(f'DNA: {dna}')
print(f'RNA: {rna}')
print(f'Protein: {protein}')
Translate All Six Reading Frames
def six_frame_translation(seq):
frames = []
for strand, s in [('+', seq), ('-', seq.reverse_complement())]:
for frame in range(3):
length = 3 * ((len(s) - frame) // 3)
fragment = s[frame:frame + length]
frames.append((strand, frame, fragment.translate()))
return frames
seq = Seq('ATGCGATCGATCGATCGATCG')
for strand, frame, protein in six_frame_translation(seq):
print(f'{strand}{frame}: {protein}')
Find All ORFs (Start to Stop)
def find_orfs(seq, min_length=30):
orfs = []
for strand, s in [('+', seq), ('-', seq.reverse_complement())]:
for frame in range(3):
trans = s[frame:].translate()
aa_start = 0
while True:
start = trans.find('M', aa_start)
if start == -1:
break
stop = trans.find('*', start)
if stop == -1:
stop = len(trans)
orf = trans[start:stop]
if len(orf) * 3 >= min_length:
orfs.append((strand, frame, start * 3 + frame, str(orf)))
aa_start = start + 1
return orfs
seq = Seq('ATGCGATCGATCGATCGATCGTAA')
for strand, frame, pos, orf in find_orfs(seq, min_length=3):
print(f'{strand} frame {frame} pos {pos}: {orf}')
Translate with Quality Check
def translate_cds_safe(seq):
try:
return seq.translate(cds=True)
except Exception as e:
return seq.translate(to_stop=True) # Fallback
Get Codon Table Info
from Bio.Data import CodonTable
table = CodonTable.unambiguous_dna_by_id[1]
print(f'Start codons: {table.start_codons}')
print(f'Stop codons: {table.stop_codons}')
Common Errors
| Error | Cause | Solution |
|---|---|---|
TranslationError: First codon is not a start codon | Used cds=True without valid start | Remove cds=True or fix sequence |
TranslationError: Final codon is not a stop codon | Used cds=True without stop codon | Remove cds=True or add stop codon |
TranslationError: Sequence length not multiple of 3 | Partial codons at end | Trim sequence to multiple of 3 |
| Unexpected amino acids | Wrong codon table | Specify correct table for organism |
Decision Tree
Need to convert sequence?
βββ DNA to RNA?
β βββ Use seq.transcribe()
βββ RNA to DNA?
β βββ Use seq.back_transcribe()
βββ DNA/RNA to protein?
β βββ Complete CDS with start/stop?
β β βββ Use translate(cds=True)
β βββ Stop at first stop codon?
β β βββ Use translate(to_stop=True)
β βββ Non-standard organism?
β β βββ Use translate(table=N)
β βββ Get all including stop symbol?
β βββ Use translate()
βββ Find all ORFs?
βββ Translate all six frames, search for M...*
Related Skills
- seq-objects - Create Seq objects for translation
- reverse-complement - Translate both strands (six-frame translation)
- codon-usage - Analyze codon bias in coding sequences
- sequence-io/read-sequences - Parse GenBank files with CDS features
- database-access/entrez-fetch - Fetch CDS sequences from NCBI for translation
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-transcription-translation- Source
- github.com/freedomintelligence/openclaw-medical-skills