Individual skill
biopython-sequence-io
Use Biopython to read/write/convert biological sequence files (FASTA/GenBank/FASTQ, etc.) and perform basic sequence operations; use when you need reliable sequence I/O, lightweight sequence manipulation, or scalable processing of large sequence datasets.
scientific-skills/Data Analysis/biopython-sequence-io/SKILL.md
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- operations Derived category
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# biopython-sequence-io
## When to Use
- Converting between common sequence formats (e.g., FASTA ↔ GenBank, FASTQ → FASTA) while preserving identifiers and annotations.
- Reading and writing sequence datasets for downstream pipelines (alignment, assembly, annotation) with consistent parsing and output.
- Performing basic sequence operations (reverse complement, translation, slicing) without implementing custom parsers.
- Processing large sequence files efficiently via streaming iteration or indexed access instead of loading everything into memory.
- Computing simple sequence statistics and filtering records (length, GC content, ambiguous bases) during ingestion.
## Key Features
- **Sequence objects and basic operations** using `Bio.Seq.Seq` (slicing, reverse complement, transcription/translation).