Efficient 'pythonic' access to FASTA files using pyfaidx

التفاصيل البيبلوغرافية
العنوان: Efficient 'pythonic' access to FASTA files using pyfaidx
المؤلفون: Brent S. Pedersen, Zhaorong Ma, Sarah J. Wheelan, Matthew D. Shirley
بيانات النشر: PeerJ, 2015.
سنة النشر: 2015
مصطلحات موضوعية: Indexed file, Computer science, Header, Search engine indexing, Test suite, Operating system, FASTA format, Python (programming language), computer.software_genre, computer, computer.programming_language
الوصف: The pyfaidx Python module provides memory and time-efficient indexing, subsetting, and in-place modification of subsequences of FASTA files. pyfaidx provides Python classes that expose a dictionary interface where sequences from an indexed FASTA can be accessed by their header name and then sliced by position without reading the full file into memory. pyfaidx includes an extensive test suite to ensure correct and reproducible behavior. A command-line program (faidx) is also provided as an alternative interface, with significant enhancements to functionality, while maintaining full index file compatibility with samtools. The pyfaidx module is installable from PyPI (https://pypi.python.org/pypi/pyfaidx), and development versions can be found at Github (https://github.com/mdshw5/pyfaidx).
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e065dc6857ceaeadf8c0ca2d42e80355
https://doi.org/10.7287/peerj.preprints.970v1
حقوق: OPEN
رقم الأكسشن: edsair.doi...........e065dc6857ceaeadf8c0ca2d42e80355
قاعدة البيانات: OpenAIRE