.png){kind=icon}
返回
Computational methods for ribosome profiling data analysis
.png){kind=icon}
OA
AI
DOI：10.1002/wrna.1577.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Since the introduction of the ribosome profiling technique in 2009 its popularity has greatly increased. It is widely used for the comprehensive assessment of gene expression and for studying the mechanisms of regulation at the translational level. As the number of ribosome profiling datasets being produced continues to grow, so too does the need for reliable software that can provide answers to the biological questions it can address. This review describes the computational methods and tools that have been developed to analyze ribosome profiling data at the different stages of the process. It starts with initial routine processing of raw data and follows with more specific tasks such as the identification of translated open reading frames, differential gene expression analysis, or evaluation of local or global codon decoding rates. The review pinpoints challenges associated with each step and explains the ways in which they are currently addressed. In addition it provides a comprehensive, albeit incomplete, list of publicly available software applicable to each step, which may be a beneficial starting point to those unexposed to ribosome profiling analysis. The outline of current challenges in ribosome profiling data analysis may inspire computational biologists to search for novel, potentially superior, solutions that will improve and expand the bioinformatician's toolbox for ribosome profiling data analysis. This article is characterized under: Translation > Ribosome Structure/Function RNA Evolution and Genomics > Computational Analyses of RNA Translation > Translation Mechanisms Translation > Translation Regulation
Keyword:
mRNA translation
protein synthesis
Ribo-Seq
ribosome profiling
translatome
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
W
IF:
4.8
论文数:
810
被引数:
4.4K
机构
引用论文
Transcriptome-wide measurement of translation by ribosome profiling通过核糖体谱分析在全转录组范围内测量翻译.png)
METHODSOAAI
METHODSIF4.3
OAAI分享收藏High-Precision Analysis of Translational Pausing by Ribosome Profiling in Bacteria Lacking EFPCELL REPORTSOAAI
CELL REPORTSIF6.9
OAAI分享收藏Reduced graphene oxide–CdS nanocomposites with enhanced visible-light photoactivity synthesized using ionic-liquid precursors使用离子液体前体合成的具有增强的可见光光活性的还原氧化石墨烯-CdS纳米复合材料New J. Chem.
New J. Chem.IF0
PREAI
分享收藏A Fixed-Point Neural Network Architecture for Speech Applications on Resource Constrained Hardware用于资源受限硬件上语音应用的定点神经网络体系结构
PREAI
分享收藏分享收藏mRNA Destabilization Is the Dominant Effect of Mammalian MicroRNAs by the Time Substantial Repression EnsuesMOLECULAR CELLOAAI
MOLECULAR CELLIF16.6
OAAI分享收藏TranslatomeDB: a comprehensive database and cloud-based analysis platform for translatome sequencing dataNUCLEIC ACIDS RESEARCHOAAI
NUCLEIC ACIDS RESEARCHIF13.1
OAAI分享收藏
查看更多内容