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Updated: Sep 29, 2026

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons
Published on: June 6, 2025
Current methods of gene prediction, their strengths and weaknesses
Catherine Mathé1, Marie-France Sagot, Thomas Schiex
1Institut de Pharmacologie et Biologie Structurale, UMR 5089, 205 route de Narbonne, F-31077 Toulouse Cedex, France. catherine.mathe@ipbs.fr
Abstract:
While the genomes of many organisms have been sequenced over the last few years, transforming such raw sequence data into knowledge remains a hard task. A great number of prediction programs have been developed that try to address one part of this problem, which consists of locating the genes along a genome. This paper reviews the existing approaches to predicting genes in eukaryotic genomes and underlines their intrinsic advantages and limitations. The main mathematical models and computational algorithms adopted are also briefly described and the resulting software classified according to both the method and the type of evidence used. Finally, the several difficulties and pitfalls encountered by the programs are detailed, showing that improvements are needed and that new directions must be considered.
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