AnnoGen: annotating genome-wide pragmatic features

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• Genome annotation is crucial for in-depth bioinformatics analysis.
• Augmenting genome-wide annotation data for the latest reference genome (GRCh38) is essential for its adoption in current and future studies.

Purpose of the Study:

• To develop a novel Python toolkit, AnnoGen, for comprehensive genome annotation.
• To enable the annotation of pragmatic genomic features at a base-wise level for the GRCh38 genome.

Main Methods:

• Development of a Python toolkit named AnnoGen.
• Annotation of three genomic features: chemical binding Energy, sequence information Entropy, and Homology Score.
• Implementation of single-base-offset tiling windows of 100 nucleotides for Homology Score calculation.
• Capability to annotate user-specified genomic regions and compare two sets of regions.

Main Results:

• AnnoGen provides base-wise annotation of chemical binding Energy, sequence information Entropy, and Homology Score for the GRCh38 genome.
• The Homology Score feature captures genome-wide homology using 100-nucleotide windows.
• The toolkit offers simple utility modes and generates succinct HTML reports with statistical tables and plots.

Conclusions:

• AnnoGen significantly enhances the quantity and diversity of genome-wide annotation data.
• The toolkit facilitates advanced bioinformatics analyses by providing detailed base-wise genomic feature information.
• AnnoGen promotes the adoption and utility of the GRCh38 reference genome in research.