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Updated: Jun 7, 2025

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
Exon nomenclature and classification of transcripts database (ENACTdb): a resource for analyzing alternative splicing
Paras Verma1, Deeksha Thakur1, Shashi B Pandit1
1Department of Biological Sciences, Indian Institute of Science Education and Research (IISER)-Mohali, Punjab, 140306, India.
The Exon Nomenclature and Classification of Transcripts (ENACT) framework systematically links exon variations to protein sequences. ENACTdb provides insights into functional variations arising from alternative splicing, aiding proteome complexity research.
Area of Science:
- Genomics
- Proteomics
- Bioinformatics
Background:
- Gene transcripts are defined by exon composition, influencing proteome complexity.
- Existing databases lack direct links between exonic variations and protein sequences.
Purpose of the Study:
- To systematically associate exonic variations with protein sequences.
- To develop a framework for annotating exons and their variations within gene architecture.
- To map predicted protein features to exon attributes for functional analysis.
Main Methods:
- Designed the Exon Nomenclature and Classification of Transcripts (ENACT) framework.
- Annotated exons, tracking splice site variations and amino acid coding status.
- Mapped protein features (secondary structure, disorder, Pfam domains) to ENACT annotations.
Main Results:
- Developed ENACTdb, linking exonic variations to protein features and isoforms.
- Enabled assessment of functional variations due to altered exon composition.
- Provided exon-centric visualizations for understanding alternative splicing impacts.
Conclusions:
- ENACTdb facilitates the study of functional variations driven by alternative splicing.
- The framework offers valuable insights into the proteome's functional repertoire.
- ENACTdb serves as a crucial resource for the research community.
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