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Dataset Information

A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms.


ABSTRACT:

Background

The draft genome assemblies produced by new sequencing technologies present important challenges for automatic gene prediction pipelines, leading to less accurate gene models. New benchmark methods are needed to evaluate the accuracy of gene prediction methods in the face of incomplete genome assemblies, low genome coverage and quality, complex gene structures, or a lack of suitable sequences for evidence-based annotations.

Results

We describe the construction of a new benchmark, called G3PO (benchmark for Gene and Protein Prediction PrOgrams), designed to represent many of the typical challenges faced by current genome annotation projects. The benchmark is based on a carefully validated and curated set of real eukaryotic genes from 147 phylogenetically disperse o

SUBMITTER: Scalzitti N 

PROVIDER: S-EPMC7147072 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature