Isoform Identification and Quantification with IsoQuant
In today’s BioBam article, Fabian Jetzinger, Doctoral Candidate, introduces IsoQuant, a powerful tool for isoform identification and quantification in long-read transcriptomics.
IsoQuant sets itself apart from traditional tools through its unique graph-based strategy, which constructs an intron-graph to define complex transcript models from PacBio or ONT data.
Key Benefits of IsoQuant in OmicsBox:
- Discovery Mode: Identify novel transcripts even without a reference annotation or supporting short read.
- Reference-Based Quantification: Enhance efficiency by quantifying genes and transcripts directly from high-quality existing annotations.
- Seamless Integration: Transition instantly from identification to downstream analysis, including structural categorization with SQANTI3 and differential expression with edgeR or NOISeq.
Experience a streamlined, user-friendly workflow that moves from raw long-read data to biological insights within a single interface.
Read the full article here: https://www.biobam.com/isoquant-long-read-isoform-identification-and-quantification/
Tagged BioBam, Bioinformatics, Communication, Fabian Jetzinger, IsoQuant, OmicsBox, Tutorial
