Skip to main content

Functions to extract information from Oxford Nanopore sequencing data and alignments.

Project description

This module provides functions to extract useful metrics from Oxford Nanopore sequencing reads and alignments.

Twitter URL install with conda Build Status Code Health

FUNCTIONS

Data can be presented in the following formats, using the following functions:
- A sorted bam file process_bam(bamfile, threads)
- A standard fastq file process_fastq_plain(fastqfile, 'threads')
- A fastq file with metadata from MinKNOW or Albacore process_fastq_rich(fastqfile)
- A sequencing_summary file generated by Albacore process_summary(sequencing_summary.txt, 'readtype')

Fastq files can be compressed using gzip, bzip2 or bgzip. The data is returned as a pandas DataFrame with standardized headernames for convenient extraction. The functions perform logging while being called and extracting data.

INSTALLATION

pip install nanoget
or
install with conda
conda install -c bioconda nanoget

STATUS

Build Status Code Health

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

nanoget-0.14.1.tar.gz (6.1 kB view details)

Uploaded Source

File details

Details for the file nanoget-0.14.1.tar.gz.

File metadata

  • Download URL: nanoget-0.14.1.tar.gz
  • Upload date:
  • Size: 6.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for nanoget-0.14.1.tar.gz
Algorithm Hash digest
SHA256 92fdd405ccde7b78ce42ef78b98445f6cd3a5e6cc1883e3c2a1bf30c061c708d
MD5 14354d1f8754bb6e2f79d1bb24d52f7e
BLAKE2b-256 c554c881a681fd7f778b71f487b330f616d343695ea24ff1762987e3ebe9d39e

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