- 20200508 - v0.2.2 - Minor changes to custommargin to make it work with newer matplotlib
- 20200501 - v0.2.1 - Minor changes related to setting matplotlib params
- 20200215 - v0.1.924 - Made some minor updates to work with python 3.7 and the latest version of pandas,
- 20171130 - v0.1.86 - some changes by @wdecoster to integrate
pauvre
into nanoplot, as well as some formatting changes that may makepauvre
work better with python2.7. Adding Travis-CI functionality. - 20171025 - v0.1.83 - added some changes to make marginplot interface
with @wdecoster's nanoPlot
package, and made
pauvre stats
only output data tables for filtered reads.pauvre stats
also now has the--filt_maxlen
,--filt_maxqual
,--filt_minlen
, and--filt_minqual
options. - 20171018 - v0.1.8 - you can now filter reads and adjust the plotting viewing window. See below for a demonstration. I added the following options:
--filt_maxlen FILT_MAXLEN
This sets the max read length filter reads.
--filt_maxqual FILT_MAXQUAL
This sets the max mean read quality to filter reads.
--filt_minlen FILT_MINLEN
This sets the min read length to filter reads.
--filt_minqual FILT_MINQUAL
This sets the min mean read quality to filter reads.
--plot_maxlen PLOT_MAXLEN
Sets the maximum viewing area in the length dimension.
--plot_maxqual PLOT_MAXQUAL
Sets the maximum viewing area in the quality
dimension.
--plot_minlen PLOT_MINLEN
Sets the minimum viewing area in the length dimension.
--plot_minqual PLOT_MINQUAL
Sets the minimum viewing area in the quality
dimension.
- 20171014 - uploading information on
pauvre redwood
andpauvre synteny
usage. - 20171012 - made
pauvre stats
more consistently produce useful histograms.pauvre stats
now also calculates some statistics for different size ranges. - 20170529 - added automatic scaling to the input fastq file. It scales to show the highest read quality and the top 99th percentile of reads by length.