Comments (3)
I agree this is an important step, but I think we will want to do it slightly differently than in #35. I think we should do the processing in 2.TCGA-process.ipynb
where the mutation data starts out in a melted format. I also think we may want to add some additional columns like mutation severity which will be useful for the frontend in the future.
Until we sort these things out, can you use the workaround here for cognoma/core-service#42 (which is a super high priority PR, so let's complete that ASAP):
path = 'mutation-matrix.tsv.bz2'
read_file = bz2.open(path , 'rt')
reader = csv.DictReader(read_file, delimiter='\t')
for row in reader:
sample_id = row.pop('sample_id')
for entrez_gene_id, mutation_status in row.items():
if mutation_status == '1':
# Create mutation from entrez_gene_id, sample_id
reader.close()
from cancer-data.
bz2
module for the win! So simple this way!!
from cancer-data.
See #35.
from cancer-data.
Related Issues (20)
- Process the clinical matrix to extract sample attributes HOT 10
- exploring the data HOT 3
- Identify the types of clinical data fields for the django team HOT 2
- Variable documentation for Xena Browser's PANCAN_clinicalMatrix HOT 8
- Extract detailed mutation information for TCGA samples HOT 2
- Current Xena PANCAN_mutation dataset is missing some samples and variables from a previous release HOT 12
- Generate comprehensive comparisons between RNAseq, Mutation, and Clinical Matrix HOT 2
- Precomputing a sample × mutation-in-gene-set matrix HOT 7
- Export a gene information table HOT 1
- Acronyms for diseases HOT 8
- Invalid gene in mutation-matrix.tsv.bz2 on figshare v5 HOT 1
- Recurrence and Distant Metastasis HOT 1
- Much Richer Sample Clinical Data HOT 9
- Treehouse Childhood Cancer Initiative HOT 5
- TCGA PanCanAtlas Paper/Data Release HOT 12
- Filtering samples is (potentially) too strict HOT 22
- Retain Metastatic Tumors HOT 6
- Converting Xena datasets to standard identifiers rather than gene symbols HOT 7
- Persistent storage of matrices that enables quick indexed lookup HOT 4
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from cancer-data.