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Current limitations in predicting mRNAtranslation with deep learning models

NIAID Data Ecosystem2026-05-02 收录

mRNA信使RNA

核糖体图谱分析

数据链接：

https://www.ncbi.nlm.nih.gov/sra/SRP474241 数据链接链接失效反馈

官方服务：

资源简介：

Deep Ribosome Profiling and RNA sequencing data of the human HepG2 hepatoblastoma cell line in triplicate

应用场景：

创建时间：

2024-05-28

核糖体图谱分析

翻译组学

A fundamental goal of genomics is to identify the complete set of expressed proteins. Automated annotation strategies rely on assumptions about protein-coding sequences (CDSs), e.g., they are conserve

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Genome-wide translation control analysis of developing human neurons

发育翻译调控

核糖体图谱分析

Ribosome profiling and RNA sequencing raw data of human neural cells derived from H9 embryonic stem cell line.

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A compensatory link between cleavage/polyadenylation and mRNA turnover regulates steady-state mRNA levels in yeast

mRNA信使RNA

mRNA亚型稳定性

Cells have compensatory mechanisms to coordinate the rates of major biological processes, thereby permitting growth in a wide variety of conditions. Here, we uncover a compensatory link between cleav

NIAID Data Ecosystem10

Target of rapamycin (TOR) mediated translational regulation

拟南芥TOR信号翻译调控

核糖体图谱分析

Our aim in this study is to investigate target of rapamycin (TOR) mediated translational regulation using a ribo-seq approach in Arabidopsis thaliana cell culture. Arabidopsis dark grown cells were tr

NIAID Data Ecosystem80

Ribosome Profiling of Mycobacterium smegmatis. Ribosome Profiling of Mycobacterium smegmatis

核糖体图谱分析

耻垢分枝杆菌

Ribo-seq and RNA-seq of Mycobacterium smegmatis strain mc2 155.

NIAID Data Ecosystem20