ADAM
ADAM is a library and command line tool that enables the use of Apache Spark to parallelize genomic data analysis across cluster/cloud computing environments. ADAM uses a set of schemas to describe genomic sequences, reads, variants/genotypes, and features, and can be used with data in legacy genomic file formats such as SAM/BAM/CRAM, BED/GFF3/GTF, and VCF, as well as data stored in the columnar Apache Parquet format. On a single node, ADAM provides competitive performance to optimized multi-threaded tools, while enabling scale out to clusters with more than a thousand cores. ADAM's APIs can be used from Scala, Java, Python, R, and SQL.
Documentation
ADAM's documentation is hosted at readthedocs.
Python Requirements
ADAM depends on having PySpark installed.
3 maintainers
Release files for bdgenomics.adam 1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| bdgenomics.adam-1.0.tar.gz | 57.1 MB | Details |
Release files / bdgenomics.adam-1.0.tar.gz
| Download URL | bdgenomics.adam-1.0.tar.gz |
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| Size | 57.1 MB |
| Tags | Source |
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twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.6.10
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