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-1.0.0.tar.gz (7.9 kB view details)

Uploaded Source

File details

Details for the file nanoget-1.0.0.tar.gz.

File metadata

  • Download URL: nanoget-1.0.0.tar.gz
  • Upload date:
  • Size: 7.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for nanoget-1.0.0.tar.gz
Algorithm Hash digest
SHA256 4706e236ab2d9bd0e3759d63340e2aa638518520f67d96250420ac58eb30da6d
MD5 df905c71092b19f79a1d1cd807e12cb0
BLAKE2b-256 1b1876c08c119531cebd5a9ca8e8476fed3ddac1a47138e03c3fed0d5998d714

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