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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1093/bioinformatics/bty149

https://doi.org/10.1093/bioinformatics/bty149

NanoPack: visualizing and processing long-read sequencing data

Cited by: 1,423
Author(s): Wouter De Coster, Svenn D’Hert, Darrin T. Schultz, Marc Cruts, Christine Van Broeckhoven
Published: over 7 years ago

Software Mentions 18

bioconductor: IONiseR
Quality Assessment Tools for Oxford Nanopore MinION data
Papers that mentioned: 2
Very Likely Science (90)
pypi: biopython
Freely available tools for computational molecular biology.
Papers that mentioned: 114
Very Likely Science (100)
pypi: conda
OS-agnostic, system-level binary package manager.
Papers that mentioned: 92
Very Likely Science (100)
pypi: mappy
Minimap2 python binding
Papers that mentioned: 3
Very Likely Science (100)
pypi: matplotlib
Python plotting package
Papers that mentioned: 1,045
Very Likely Science (100)
pypi: NanoComp
Comparing runs of Oxford Nanopore sequencing data and alignments
Papers that mentioned: 5
Very Likely Science (100)
pypi: NanoFilt
Filtering and trimming of Oxford Nanopore Sequencing data
Papers that mentioned: 124
Very Likely Science (100)
pypi: NanoLyse
Removing reads mapping to the lambda genome
Papers that mentioned: 8
Very Likely Science (100)
pypi: NanoPlot
Plotting suite for Oxford Nanopore sequencing data and alignments
Papers that mentioned: 90
Very Likely Science (100)
pypi: NanoStat
Calculate statistics for Oxford Nanopore sequencing data and alignments
Papers that mentioned: 20
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: pauvre
Tools for plotting Oxford Nanopore and other long-read data.
Papers that mentioned: 2
Very Likely Science (100)
pypi: pip
The PyPA recommended tool for installing Python packages.
Papers that mentioned: 21
Very Likely Science (65)
pypi: poretools
A toolset for working with nanopore sequencing data
Papers that mentioned: 62
Very Likely Science (90)
pypi: pycoQC
PycoQC computes metrics and generates interactive QC plots for Oxford Nanopore technologies sequencing data
Papers that mentioned: 9
Very Likely Science (100)
pypi: pysam
Package for reading, manipulating, and writing genomic data
Papers that mentioned: 130
Very Likely Science (100)
pypi: seaborn
Statistical data visualization
Papers that mentioned: 283
Very Likely Science (100)