TAGET: a toolkit for analyzing full-length transcripts from single molecular sequencing

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Differential expression gene analysis improves with enhanced alignment techniques and a convolutional neural network in full-length transcriptomes.
Analyzing transcriptomes with TAGET led to the identification of a tumor-suppressor gene candidate in laryngocarcinoma, providing insights into cancer biology.
The computational toolkit integrates various resources to streamline the validation of splice site predictions and isoform discoveries.
Evaluation of TAGET using Iso-seq data showcases its potential for broader applications in transcriptomic research and gene expression studies.

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Toolkit demonstrates differential expression gene analysis in full-length transcriptomes, suggesting its utility for tumor studies.

Xia et al. (2025) studied this question.

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