Store and access gene expression datasets and gene definitions.
Project description
genedataset is a package to store and access gene expression datasets and gene definitions. It consists of two main classes, geneset and dataset.
geneset
geneset stores gene information combined from both Ensembl and NCBI/Entrez (mouse and human only), so that you can query it:
$ gs = geneset.Geneset().subset(queryStrings='ccr3') $ print gs.geneIds() ['ENSG00000183625', 'ENSMUSG00000035448'] $ gs.dataframe() | EnsemblId | Species | EntrezId | GeneSymbol | Synonyms | Description | MedianTranscriptLength | Orthologue | |--------------------|-------------|----------|------------|------------------------------|----------------------------------|------------------------|-------------------------| | ENSG00000183625 | HomoSapiens | 1232 | CCR3 | CC-CKR-3|CD193|CKR3|CMKBR3 | chemokine (C-C motif),receptor 3 | 1242.5 | ENSMUSG00000035448:Ccr3 | | ENSMUSG00000035448 | MusMusculus | 12771 | Ccr3 | CC-CKR3|CKR3|Cmkbr1l2|Cmkbr3 | chemokine (C-C motif),receptor 3 | 3273 | ENSG00000183625:CCR3 |
dataset
dataset can store gene expression data so that it can be queried. The stored data consists of expression values (microarray and rna-seq) and sample data packaged into HDF5 format.
$ ds = dataset.Dataset("genedataset/data/testdataset.h5") $ ds <Dataset name:testdata species:MusMusculus, platform_type:microarray> $ ds.expressionMatrix() | probeId | s01 | s02 | s03 | s04 | |---------|------|------|------|------| | probe1 | 3.45 | 4.65 | 2.65 | 8.23 | | probe2 | 5.54 | 0.00 | 1.43 | 6.43 | | probe3 | 0.00 | 0.00 | 4.34 | 5.44 | $ ds.sampleTable() | sampleId | celltype | tissue | |----------|----------|--------| | s01 | B1 | BM | | s02 | B1 | BM | | s03 | B2 | BM | | s04 | B2 | BM |
Contact
Jarny Choi, Walter + Eliza Hall Institute
e-mail: jchoi@wehi.edu.au
Changes
v0.1.x - Initial release with minor adjustments to test pypi and github upload/download.
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