iFLAS: positive‐unlabeled learning facilitates full‐length transcriptome‐based identification and functional exploration of alternatively spliced isoforms in maize
Feng Xu,
Songyu Liu,
Anwen Zhao
et al.
Abstract:Summary
The advent of full‐length transcriptome sequencing technologies has accelerated the discovery of novel splicing isoforms. However, existing alternative splicing (AS) tools are either tailored for short‐read RNA‐Seq data or designed for human and animal studies. The disparities in AS patterns between plants and animals still pose a challenge to the reliable identification and functional exploration of novel isoforms in plants.
Here, we developed integrated full‐length alternative splicing analysis (iFLA… Show more
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