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
Metadata
3 maintainers
Release files for bdgenomics.adam 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| bdgenomics.adam-1.0.tar.gz | 57.1 MB | Without provenance | Details for bdgenomics.adam-1.0.tar.gz |
Release files / bdgenomics.adam-1.0.tar.gz
| Download URL | bdgenomics.adam-1.0.tar.gz |
|---|---|
| Size | 57.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
da668aedbc3ee11901856d5dbd0548732e4237f4428ed5863ae3a11dc0eee5f7
|
|
BLAKE2b-256 checksum How to use checksums |
0416e1d11c76357bc0c0a07ee461954aa83d7b9cce2daa2339923c5acf01ffa6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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
|
Security for bdgenomics.adam 1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
