statsmodels

Streamlines scientific image data management by connecting Python workflows with OMERO's remote microscopy repository and metadata systems

Simplifies scientific computing by providing powerful symbolic mathematics, numerical integration, and plotting capabilities for Python research and engineering tasks.

Performs astronomical data analysis, coordinate transformations, and astrophysical calculations using Python's premier scientific astronomy library.

Queries and retrieves chemical, biological, and pharmacological data from the ChEMBL database for drug discovery and research insights.

Queries and analyzes biological pathway data from the Reactome database, enabling researchers to explore gene interactions and molecular mechanisms.

Retrieves and processes genomic data from the Ensembl database, enabling quick gene, transcript, and variant information extraction for bioinformatics research.

Performs advanced bioinformatics tasks like sequence analysis, DNA/protein manipulation, genome parsing, and computational biology workflows using Python libraries.

Streamlines scientific protocol retrieval, parsing, and integration from Protocols.io into research workflows and computational analysis pipelines

Perform efficient genomic data analysis by reading, writing, and manipulating SAM/BAM/CRAM sequencing alignment files with Python's pysam library.

Efficiently manage and manipulate large, chunked, compressed N-dimensional arrays in scientific computing and data analysis workflows using Zarr.