Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Visualizations for RNA-Seq expression data

Project Description

Makimono is a python package wrapping (mostly) around the matplotlib and bokeh packages and providing convenient plotting tools to visualize RNA-Seq expression in sets of interest. Optionally, GO and/or KEGG enrichment (“interfacing” with the R packages topGO and GOstats) reports for those sets of interest can also be generated from topGO/GOstats results and incorporated into the makimono package outputs.


Current release: 0.1.4 (alpha)

Provides basic functionality and basic documentation. Methods and functions are working provided the inputs are within the expected formats and constraints (onus is on the user – see more at the end).

TODO:

  • Write tests
  • Improve documentation
  • Increment/improve exception handling
  • Extend functionality with new features
  • Re-write old code to integrate as new modules

Installation:

# pip install makimono-0.1.4.tar.gz

or

# pip install makimono

Usage:

Refer to the included jupyter python notebooks (see docs folder) for usage examples of the methods and functions in the makimono package.

Additionally, the makimono package ships with a command line utility, makisu that allows access to part of the functionally of the package.

To use makisu on the command line just type:

  $ makisu [arguments]


  makisu
  usage: makisu [-h] -p {mpl,bokeh,bokehplus} -e EXPRESSION -r REPLICATES -t
            TIMEPOINTS [TIMEPOINTS ...] -i INPUT [-a ALPHA]
            [-xk XTICKS [XTICKS ...]] [-m {all,web,batch}] [-o OUTPUTFOLDER]

Required arguments:

  [-p] plotting mode (options: mpl, bokeh, bokehplus)
  [-e] path to file with RNA-Seq expression counts
  [-r] number of replicates in expression counts file
  [-t] list of experimental time points
  [-i] path [or folder] to file(s) containing lists of genes/transcripts of interest

Optional arguments:

  [-a] level of significance (to filter enrichment results) -- [defaults to 0.05]
  [-xk] list of ticks for the plot's x-axis -- [defaults to timepoints]
  [-m] plot portability (for bokeh/bokehplus -- options: all, web[default] and batch)
  [-o] folder where to output your plots/reports [defaults to user's home directory]

Input files requirements:

To use makimono the following files are required:

  1. RNA-Seq expression counts.
  2. List(s) of subsets of genes/transcripts of interest.

The RNA-Seq expression file should be a tab-separated file where the first column corresponds a gene/transcript identifier with the following columns being the counts for each replicate at each experimental time point.

e.g.

Cre14.g622075.t1.1   10    5   75   77   39   34   18   25   15   22   21    6   19   13   17   32

       (...)

Cre10.g467200.t1.1   21   36  320  293  114  111   37   80   63   68   49   61   53   66   66   86

In the example above comes from an experiment with 8 time points and 2 replicates, thus for transcript Cre14.g622075.t1.1 10 and 5 are the counts for the two replicates at the first time point, 75 and 77 are the counts for the two replicates at the second time point and so on.

The file(s) with the genes/transcripts of interest must list one identifier per line and optionally can have additional (tab-separated) annotations on their respective line.

e.g.

Cre01.g053250.t1.1                            RING/FYVE/PHD zinc finger superfamily protein
Cre02.g147150.t1.1

     (...)

Cre03.g173800.t1.2    PDX2    Pyridoxal kinase        Pyridoxal kinase, involved in vitamin B6 biosynthesis.

Term enrichment reports:

(available with the ‘bokehplus’ plotting mode)

Term enrichment reports for GO term enrichment and KEGG pathway enrichment can be incorporated into the bokeh interactive plots. Makimono uses the enrichment result files as produced by the R packages topGO (for GO term enrichments) and GOstats (for KEGG pathways enrichments) to generate these reports. To use these R modules (these need to be installed on the system and) and one should refer to their original documentation or alternatively use (see example in docs folder) the limited and experimental “interface” provided by the module enricher packaged with makimono.

e.g.

GO term enrichment file sample (produced by topGO)

GO.ID         Term   Annotated    Significant   Expected   Rank in classicFisher      classicFisher   elimFisher
GO:0034450    ubiquitin-ubiquitin ligase activity            2        2       0       1       3.3e-06 3.3e-06
GO:0004360    glutamine-fructose-6-phosphate transamin...    1        1       0       4       0.0019  0.0019
GO:0008478    pyridoxal kinase activity                      2        1       0       6       0.0038  0.0038

GO term enrichment file sample (produced by topGO)

e.g.

KEGGID               Pvalue   OddsRatio                  ExpCount     Count   Size                   Term
00790   0.00540248514316588         Inf       0.00540248514316586         1     10    Folate biosynthesis

WARNING: The current implementation of the enricher module relies on a rigid folder/filename structure and convention.

  • Enrichment result files must be of the form: <basename>_enrichment.tsv
  • Enrichment files must be placed on a rigid folder hierarchy relative to the location of the files with the sets of interest, as in the example shown below.

e.g.

.
├── 002_{0h=2h=8h=12h=24h=48h}GT{30min=4h}.txt
├── 026_{30min}GT{2h}GT{4h=8h=12h=24h=48h}GT{0h}.txt
├── 053_{8h=12h=24h=48h}GT{30min=2h=4h}GT{0h}.txt
├── 317_{30min=2h=4h=8h=12h=24h=48h}GT{0h}.txt
├── goenrich
│   ├── BP
│   │   ├── 002_{0h=2h=8h=12h=24h=48h}GT{30min=4h}_enrichment.tsv
│   │   ├── 026_{30min}GT{2h}GT{4h=8h=12h=24h=48h}GT{0h}_enrichment.tsv
│   │   ├── 053_{8h=12h=24h=48h}GT{30min=2h=4h}GT{0h}_enrichment.tsv
│   │   └── 317_{30min=2h=4h=8h=12h=24h=48h}GT{0h}_enrichment.tsv
│   ├── CC
│   │   ├── 002_{0h=2h=8h=12h=24h=48h}GT{30min=4h}_enrichment.tsv
│   │   ├── 026_{30min}GT{2h}GT{4h=8h=12h=24h=48h}GT{0h}_enrichment.tsv
│   │   ├── 053_{8h=12h=24h=48h}GT{30min=2h=4h}GT{0h}_enrichment.tsv
│   │   └── 317_{30min=2h=4h=8h=12h=24h=48h}GT{0h}_enrichment.tsv
│   └── MF
│       ├── 002_{0h=2h=8h=12h=24h=48h}GT{30min=4h}_enrichment.tsv
│       ├── 026_{30min}GT{2h}GT{4h=8h=12h=24h=48h}GT{0h}_enrichment.tsv
│       ├── 053_{8h=12h=24h=48h}GT{30min=2h=4h}GT{0h}_enrichment.tsv
│       └── 317_{30min=2h=4h=8h=12h=24h=48h}GT{0h}_enrichment.tsv
└── keggenrich
    ├── 026_{30min}GT{2h}GT{4h=8h=12h=24h=48h}GT{0h}_enrichment.tsv
    ├── 053_{8h=12h=24h=48h}GT{30min=2h=4h}GT{0h}_enrichment.tsv
    └── 317_{30min=2h=4h=8h=12h=24h=48h}GT{0h}_enrichment.tsv

In the example above, the files listing the four sets of interest are at the root directory. Sub-directory keggenrich/ holds the respective KEGG pathway enrichment result files (for each of the four sets of interest). The goenrich/ sub-directory holds the enrichment result files for the GO term enrichments for the same four sets of interest. However, there they are further split into three different sub-directories reflecting each orthogonal ontology comprising the GeneOntology.

Release History

Release History

This version
History Node

0.1.4

History Node

0.1.3

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
makimono-0.1.4.tar.gz (52.1 kB) Copy SHA256 Checksum SHA256 Source Jun 21, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting