Polars-bio-fast, scalable, and out-of-core operations on large genomic interval datasets.

ABSTRACT:

Motivation

Genomic studies very often rely on computationally intensive analyses of relationships between features, which are typically represented as intervals along a 1D coordinate system (such as positions on a chromosome). In this context, the Python programming language is extensively used for manipulating and analyzing data stored in a tabular form of rows and columns, called a DataFrame. Pandas is the most widely used Python DataFrame package and has been criticized for inefficiencies and scalability issues, which its modern alternative-Polars-aims to address with a native backend written in the Rust programming language.

Results

polars-bio is a Python library that enables fast, parallel and out-of-core operations on large genomic interval datasets. Its main component

SUBMITTER: Wiewiorka M 

PROVIDER: S-EPMC12701801 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature