Skip to main content

kmer counting from sequencing fastq.gz file

Project description

kmer_counting_loop.py

Introduction This tool is designed for bioinformatics analysis to count k-mer frequencies in sequencing data stored in FASTQ format. It is particularly useful when dealing with large datasets as it leverages Python's multiprocessing capabilities for parallel processing, thus enhancing performance and reducing computation time. Features Count specified k-mer sizes in FASTQ files (compressed with gzip).
Use input CSV files containing k-mer sequences to filter and count only relevant k-mers.
Handle large datasets efficiently with chunk-based parallel processing.
Utilize multiple CPU cores for faster computation.
Generate output CSV files containing the count of each k-mer.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kmer_counting-0.1.0.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

kmer_counting-0.1.0-py3-none-any.whl (4.4 kB view details)

Uploaded Python 3

File details

Details for the file kmer_counting-0.1.0.tar.gz.

File metadata

  • Download URL: kmer_counting-0.1.0.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.4

File hashes

Hashes for kmer_counting-0.1.0.tar.gz
Algorithm Hash digest
SHA256 d284a4e148df4b0375844201e29258f4297c530efc49e290b8af49aeeff15979
MD5 56b8bd6fdb7b92a810ea0dd11d706f8f
BLAKE2b-256 b70cb0a4691539366beb67e5143a67be26eb1ff21fdfbe485ea127b603ecaa5b

See more details on using hashes here.

File details

Details for the file kmer_counting-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for kmer_counting-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 34dc49016d108d5b38c55a9977f2dda507ac574634754cb85f821ae57104d64b
MD5 788d27e16c37ba0d65619ebb460b9275
BLAKE2b-256 79e7c91090c6379b1f4063bded90875e9e550f02db6d5c35dce6f464060e4120

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page