Reads, writes, and manipulates biological sequence data formats like FASTA, FASTQ, and GenBank.
This skill provides a comprehensive toolkit for bioinformatics workflows, enabling Claude to parse and convert various sequence file formats, perform sequence manipulations like translation and reverse complementation, and efficiently access large genomic files via indexed random access. It integrates industry-standard libraries like Biopython and pysam to handle everything from simple sequence statistics to complex genomic data extraction, ensuring high-performance processing of biological data while managing coordinate system nuances.
Key Features
010 GitHub stars
02Multi-format support for FASTA, GenBank, and FASTQ files
03Indexed random access for large FASTA files using faidx and pysam
04Automated calculation of GC content, molecular weight, and melting temperatures
05Built-in sequence operations including complement, reverse complement, and translation
06Streamlined format conversion between biological sequence standards
Use Cases
01Converting GenBank files to FASTA for downstream computational analysis
02Analyzing DNA sequence properties like GC content and Tm for primer design
03Extracting specific genomic regions from large reference genomes using coordinates
