GTFtools: a software package for analyzing various features of gene models.

Area of Science:

• Bioinformatics
• Computational Biology
• Genomics

Background:

• Gene-centric bioinformatics studies require extracting gene features like splice sites, promoters, introns, and untranslated regions (UTRs) from gene models.
• Gene models are commonly annotated in Gene Transfer Format (GTF) files, and these features are crucial for downstream analyses such as intron retention detection and splice site strength computation.
• Existing resources, including BioMart, often lack essential features like independent introns and splice sites, necessitating the development of integrated tools.

Purpose of the Study:

• To introduce GTFtools, a novel command-line software designed to compute a comprehensive set of gene features.
• To provide a user-friendly solution for extracting gene features that are not readily available in existing databases.
• To facilitate routine bioinformatics analyses by offering integrated functions for gene feature extraction and manipulation.

Main Methods:

• GTFtools is a stand-alone, command-line software implemented in Python.
• It processes ENSEMBL or GENCODE GTF files as input, supporting both human and non-human gene models (e.g., mouse).
• The software calculates various gene features, including splice sites, independent introns, transcription start sites (TSS)-flanking regions, UTRs, isoform coordination, and gene lengths.

Main Results:

• GTFtools successfully calculates a wide range of gene features, including those not provided by other tools like BioMart.
• The software demonstrates ease of installation and use due to its Python implementation and lack of third-party dependencies.
• Comparative analysis indicates GTFtools' utility alongside existing tools such as Bedtools and BioMart.

Conclusions:

• GTFtools offers a valuable and integrated solution for gene feature extraction in bioinformatics.
• Its user-friendly design and comprehensive functionality simplify complex gene analysis tasks.
• The availability of GTFtools on multiple platforms (pyPI, Bioconda) enhances accessibility for researchers.