rmats2sashimiplot produces a sashimiplot visualization of rMATS output. rmats2sashimiplot can also produce plots using an annotation file and genomic coordinates. The plotting backend is MISO.
- Python 2.7 (Python 3 can be used after running 2to3.sh)
- numpy
- scipy
- matplotlib
- pysam
- Samtools
- bedtools
rmats2sashimiplot is intended to be used in a Unix-based environment.
rmats2sasmimiplot can be run without installing:
python ./src/rmats2sashimiplot/rmats2sashimiplot.py
rmats2sashimiplot can be installed with:
python ./setup.py install
rmats2sashimiplot can be updated with:
pip uninstall rmats2sashimiplot
python ./setup.py install
If installed, rmats2sashimiplot can be run with just:
rmats2sashimiplot
BAM files must be sorted before visualization/indexing.
The test data used in the examples is available at https://sourceforge.net/projects/rnaseq-mats/files/rmats2sashimiplot/rmats2sashimiplot_test_data.tar.gz/download
rmats2sashimiplot --s1 ./rmats2sashimiplot_test_data/sample_1_replicate_1.sam,./rmats2sashimiplot_test_data/sample_1_replicate_2.sam,./rmats2sashimiplot_test_data/sample_1_replicate_3.sam --s2 ./rmats2sashimiplot_test_data/sample_2_replicate_1.sam,./rmats2sashimiplot_test_data/sample_2_replicate_2.sam,./rmats2sashimiplot_test_data/sample_2_replicate_3.sam --event-type SE -e ./rmats2sashimiplot_test_data/SE.MATS.JC.txt --l1 SampleOne --l2 SampleTwo --exon_s 1 --intron_s 5 -o test_events_output
Instead of providing the .sam paths directly on the command line, text files with the comma separated paths on the first line can be given: --s1 s1.txt and --s2 s2.txt. s1.txt would contain:
./rmats2sashimiplot_test_data/sample_1_replicate_1.sam,./rmats2sashimiplot_test_data/sample_1_replicate_2.sam,./rmats2sashimiplot_test_data/sample_1_replicate_3.sam
s2.txt would contain:
./rmats2sashimiplot_test_data/sample_2_replicate_1.sam,./rmats2sashimiplot_test_data/sample_2_replicate_2.sam,./rmats2sashimiplot_test_data/sample_2_replicate_3.sam
rmats2sashimiplot --b1 ./rmats2sashimiplot_test_data/sample_1_replicate_1.bam,./rmats2sashimiplot_test_data/sample_1_replicate_2.bam,./rmats2sashimiplot_test_data/sample_1_replicate_3.bam --b2 ./rmats2sashimiplot_test_data/sample_2_replicate_1.bam,./rmats2sashimiplot_test_data/sample_2_replicate_2.bam,./rmats2sashimiplot_test_data/sample_2_replicate_3.bam -c chr16:+:9000:25000:./rmats2sashimiplot_test_data/annotation.gff3 --l1 SampleOne --l2 SampleTwo --exon_s 1 --intron_s 5 -o test_coordinate_output
Instead of providing the .bam paths directly on the command line, text files with the comma separated paths on the first line can be given: --b1 b1.txt and --b2 b2.txt
Input mapping files can be divided into different groups for plotting. rmats2sashimiplot calculates the average inclusion level, the average read depth and the average number of junction-spanning reads of each group and displays them in a sashimi plot. This provides the flexibility to compare different groups of samples.
rmats2sashimiplot --b1 ./rmats2sashimiplot_test_data/sample_1_replicate_1.bam,./rmats2sashimiplot_test_data/sample_1_replicate_2.bam,./rmats2sashimiplot_test_data/sample_1_replicate_3.bam --b2 ./rmats2sashimiplot_test_data/sample_2_replicate_1.bam,./rmats2sashimiplot_test_data/sample_2_replicate_2.bam,./rmats2sashimiplot_test_data/sample_2_replicate_3.bam --event-type SE -e ./rmats2sashimiplot_test_data/SE.MATS.JC.txt --l1 SampleOne --l2 SampleTwo --exon_s 1 --intron_s 5 -o test_grouped_output --group-info grouping.gf
Where grouping.gf has:
group1name: 1-2
group2name: 3-6
Each line in the *.gf file used with --group-info defines a group. Each line has the format:
groupname: indices of mapping files
The indices can be a comma (,) separated list of
- individual numbers
- ranges specified with dash (
-)
Important: One-based indexing is used. The order of mapping files corresponds to the order from (--b1 --b2) or (--s1 --s2). Index i corresponds to the one-based ith index of the concatenation of either (--b1 and --b2) or (--s1 and --s2).
As an example: --b1 a.bam,b.bam,c.bam --b2 d.bam,e.bam,f.bam with this grouping file
firstGroup: 1,4
secondGroup: 1-3,5,6
Defines firstGroup=a.bam,d.bam and secondGroup=a.bam,b.bam,c.bam,e.bam,f.bam
Q: What does the y-axis represent?
A: MISO is the actual plotting backend of rmats2sashimiplot, so they have almost the same mechanism of plotting. The y-axis represents a modified RPKM value.
In rmats2sashimiplot each read distributes its read count evenly over the coordinates it was mapped to. If the read is length 50 then each individual coordinate gets 1/50 added to its value. The value at each coordinate is aggregated across all reads. Then the value is normalized by the total number of reads and the two constants (1,000 and 1,000,000).
Q: How does rmats2sashimiplot calculate junction count, read density (modified RPKM) and inclusion level in the grouping mode?
A: rmats2sashimiplot uses a modified Sashimi plot proposed by SplicePlot(Wu, Nance, & Montgomery, 2014). Briefly, rmats2sashimiplot calculates the average read depth and the average number of junction-spanning reads for groups.
Q: Can I use a GTF file?
A: No a GFF3 file is needed. You can convert a GTF to a GFF3 with gffread: gffread --keep-genes ./some_file.gtf -o ./some_file.gff3
Q: Why might the junction counts shown in the sashimiplot differ from the counts in the rMATS output?
A: There are several differences in the counting procedure between rmats2sashimiplot and rMATS. Please refer to issue 33 for more details.
Q: What can I do to reduce the running time of rmats2sashimiplot?
A: rmats2sashimiplot is single threaded, but you can run multiple instances of rmats2sashimiplot concurrently on different inputs. For a single instance of rmats2sashimiplot, if an event file is given as input with -e it will plot all the events in that file. Instead of using an rMATS output file directly (like SE.MATS.JC.txt), you could make a copy of that file and filter it down so that it only contains the events that you want to plot.
python src/rmats2sashimiplot/rmats2sashimiplot.py -h
usage: rmats2sashimiplot [-h] -o OUT_DIR [--l1 L1] [--l2 L2]
[--event-type {SE,A5SS,A3SS,MXE,RI}] [-e EVENTS_FILE]
[-c COORDINATE] [--s1 S1] [--s2 S2] [--b1 B1]
[--b2 B2] [--exon_s EXON_S] [--intron_s INTRON_S]
[--group-info GROUP_INFO] [--min-counts MIN_COUNTS]
[--color COLOR] [--font-size FONT_SIZE]
[--fig-height FIG_HEIGHT] [--fig-width FIG_WIDTH]
[--hide-number] [--no-text-background]
[--keep-event-chr-prefix] [--remove-event-chr-prefix]
optional arguments:
-h, --help show this help message and exit
Required:
-o OUT_DIR The output directory.
Labels:
--l1 L1 The label for the first sample.
--l2 L2 The label for the second sample.
rMATS event input:
Use either (rMATS event input) or (Coordinate and annotation input)
--event-type {SE,A5SS,A3SS,MXE,RI}
Type of event from rMATS result used in the analysis.
'SE': skipped exon, 'A5SS': alternative 5' splice
site, 'A3SS' alternative 3' splice site, 'MXE':
mutually exclusive exons, 'RI': retained intron. (Only
if using rMATS event input)
-e EVENTS_FILE The rMATS output event file (Only if using rMATS event
input)
Coordinate and annotation input:
Use either (Coordinate and annotation input) or (rMATS event input)
-c COORDINATE The genome region coordinates and a GFF3 (not GTF)
annotation file of genes and transcripts. The format
is -c
{chromosome}:{strand}:{start}:{end}:{/path/to/gff3}
(Only if using Coordinate and annotation input)
SAM Files:
Mapping results for sample_1 & sample_2 in SAM format. Replicates must be
in a comma separated list. A path to a file containing the comma separated
list can also be given. (Only if using SAM)
--s1 S1 sample_1 sam files: s1_rep1.sam[,s1_rep2.sam]
--s2 S2 sample_2 sam files: s2_rep1.sam[,s2_rep2.sam]
BAM Files:
Mapping results for sample_1 & sample_2 in BAM format. Replicates must be
in a comma separated list. A path to a file containing the comma separated
list can also be given. (Only if using BAM)
--b1 B1 sample_1 bam files: s1_rep1.bam[,s1_rep2.bam]
--b2 B2 sample_2 bam files: s2_rep1.bam[,s2_rep2.bam]
Optional:
--exon_s EXON_S How much to scale down exons. Default: 1
--intron_s INTRON_S How much to scale down introns. For example,
--intron_s 5 results in an intron with real length of
100 being plotted as 100/5 = 20. Default: 1
--group-info GROUP_INFO
The path to a *.gf file which groups the replicates.
One sashimi plot will be generated for each group
instead of the default behavior of one plot per
replicate
--min-counts MIN_COUNTS
Individual junctions with read count below --min-
counts will be omitted from the plot. Default: 0
--color COLOR Specify a list of colors with one color per plot.
Without grouping there is one plot per replicate. With
grouping there is one plot per group: --color
'#CC0011[,#FF8800]'
--font-size FONT_SIZE
Set the font size. Default: 8
--fig-height FIG_HEIGHT
Set the output figure height (in inches). Default is 7
if sample size < 5 and 14 if sample size is 5 or more
--fig-width FIG_WIDTH
Set the output figure width (in inches). Default: 8
--hide-number Do not display the read count on the junctions
--no-text-background Do not put a white box behind the junction read count
--keep-event-chr-prefix
force the contig name in the provided events file to
be used
--remove-event-chr-prefix
remove any leading "chr" from contig names in the
provided events file
All output is written to the directory specified by -o. Under that directory:
Sashimi_index/: contains intermediate files used to create the plotSashimi_index_{Gene}_{event_id}/: likeSashimi_index/but one directory for each rMATS event plottedSashimi_plot/: contains the generated sashimi plots in .pdf format
Yi Xing yxing@ucla.edu
Zhijie Xie shiehshiehzhijie@gmail.com
If you found a bug or mistake in this project, we would like to know about it. Before you send us the bug report though, please check the following:
- Are you using the latest version? The bug you found may already have been fixed.
- Check that your input is in the correct format and you have selected the correct options.
- Please reduce your input to the smallest possible size that still produces the bug; we will need your input data to reproduce the problem, and the smaller you can make it, the easier it will be.
Copyright (C) 2015 University of California, Los Angeles (UCLA) Zhijie Xie, Yu-Ting Tseng, Yi Xing
Zhijie Xie, Yu-Ting Tseng, Yi Xing
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.