python3-nanoget

extract information from Oxford Nanopore sequencing data and alignments
  https://github.com/wdecoster/nanoget
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The Python3 module nanoget provides functions to extract useful metrics from Oxford Nanopore sequencing reads and alignments.

Data can be presented in the following formats, using the following functions:

* sorted bam file process_bam(bamfile, threads) * standard fastq file process_fastq_plain(fastqfile, 'threads') * fastq file with metadata from MinKNOW or Albacore process_fastq_rich(fastqfile) * 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.