SHEPHARD: a modular and extensible software architecture for analyzing and annotating large protein datasets.

ABSTRACT:

Motivation

The emergence of high-throughput experiments and high-resolution computational predictions has led to an explosion in the quality and volume of protein sequence annotations at proteomic scales. Unfortunately, sanity checking, integrating, and analyzing complex sequence annotations remains logistically challenging and introduces a major barrier to entry for even superficial integrative bioinformatics.

Results

To address this technical burden, we have developed SHEPHARD, a Python framework that trivializes large-scale integrative protein bioinformatics. SHEPHARD combines an object-oriented hierarchical data structure with database-like features, enabling programmatic annotation, integration, and analysis of complex datatypes. Importantly SHEPHARD is easy to use and

SUBMITTER: Ginell GM 

PROVIDER: S-EPMC10423030 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature