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.
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 nanogetor
conda install -c bioconda nanoget
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nanoget-1.7.1.tar.gz
(8.8 kB
view details)
File details
Details for the file nanoget-1.7.1.tar.gz.
File metadata
- Download URL: nanoget-1.7.1.tar.gz
- Upload date:
- Size: 8.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.1 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.19.2 CPython/3.6.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 565201483f3e5e0af6703e50a3b1b2b93b4e2bd0d404b912c6effb61157ec8b4 |
|
| MD5 | ba3412838faa5dec1e51dd64b3deec45 |
|
| BLAKE2b-256 | 9b6bfdc4958080cee985560f875bfdeb0731ec1060fd0eb2eb580acf5fd38671 |
