التفاصيل البيبلوغرافية
| العنوان: |
Advances in alternative splicing identification: deep learning and pantranscriptome |
| المؤلفون: |
Fei Shen, Chenyang Hu, Xin Huang, Hao He, Deng Yang, Jirong Zhao, Xiaozeng Yang |
| المصدر: |
Frontiers in Plant Science, Vol 14 (2023) |
| بيانات النشر: |
Frontiers Media S.A., 2023. |
| سنة النشر: |
2023 |
| المجموعة: |
LCC:Plant culture |
| مصطلحات موضوعية: |
alternative splicing, RNA-seq, Iso-seq, detection algorithm, deep learning, pantranscriptome, Plant culture, SB1-1110 |
| الوصف: |
In plants, alternative splicing is a crucial mechanism for regulating gene expression at the post-transcriptional level, which leads to diverse proteins by generating multiple mature mRNA isoforms and diversify the gene regulation. Due to the complexity and variability of this process, accurate identification of splicing events is a vital step in studying alternative splicing. This article presents the application of alternative splicing algorithms with or without reference genomes in plants, as well as the integration of advanced deep learning techniques for improved detection accuracy. In addition, we also discuss alternative splicing studies in the pan-genomic background and the usefulness of integrated strategies for fully profiling alternative splicing. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
1664-462X |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fpls.2023.1232466/full; https://doaj.org/toc/1664-462X |
| DOI: |
10.3389/fpls.2023.1232466 |
| URL الوصول: |
https://doaj.org/article/0505b13ff91c417280a443e60fc8ef47 |
| رقم الانضمام: |
edsdoj.0505b13ff91c417280a443e60fc8ef47 |
| قاعدة البيانات: |
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