Genomics and Bioinformatics Lab
Unlocking the Omics Mysteries with Artificial Intelligence
11/04/2025
Comprehensive RNA-Seq Based Data Analysis – Key Highlights
Gene Expression Analysis
Identify differentially expressed genes across conditions or treatments.
Detect and quantify alternative splicing events to understand transcript variation.
Characterize and quantify transcript isoforms for detailed gene expression insights.
Transcriptome Assembly and Annotation
Perform de novo transcriptome assembly for non-model organisms or novel transcript discovery.
Identify and characterize long non-coding RNAs (lncRNAs) and their potential regulatory roles.
Profile and quantify small non-coding RNAs (e.g., miRNAs, piRNAs) involved in gene regulation.
Why Choose Our RNA-Seq Analysis?
End-to-end, high-resolution transcriptome insights.
Suitable for functional genomics, biomarker discovery, and systems biology.
Customized analysis pipelines for accurate and reproducible results.
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https://www.genomatics.net/services
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