Titlebook: RNA Bioinformatics; Ernesto Picardi Book 2021Latest edition Springer Science+Business Media, LLC, part of Springer Nature 2021 Computation

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Motif Discovery from CLIP Experiments,est cover the landscape of approaches. A detailed analysis is presented to highlight the need for different algorithms in different working settings. In conclusion, the proposed workflow depends on the nature of the starting data and on the availability of RNA annotations.

BOON

Summarizing RNA-Seq Data or Differentially Expressed Genes Using Gene Set, Network, or Pathway Anal available and frequently updated software. Finally, we conclude this chapter by presenting a survival pathway analysis of a multiomics dataset. During this overview of different methods, we focus on visualization, which is a fundamental but challenging step in this computational field.

侵蚀

Differential Expression Analysis of Long Noncoding RNAs, tools based on the implemented core algorithms and statistical models. We hope that this chapter will provide readers with a practical guide on the analysis choices in lncRNA differential expression analysis.

杀虫剂

Micro-RNA Quantification, Target Gene Identification, and Pathway Analysis,dance estimation. Building on these results, we normalize expression profiles and compute differentially expressed microRNAs between sample groups of interest. We conclude by showing how to employ pathway analysis to identify molecular signatures corresponding to biological processes that are significantly altered by the action for microRNAs.

Endoscope

STALL

Modeling and Predicting RNA Three-Dimensional Structures,cules and present the RNA-MoIP web server (http://rnamoip.cs.mcgill.ca) that streamlines the computational and visualization processes. Finally, we show recent advances in the prediction of local 3D motifs from sequence data with the BayesPairing software and discuss its impact toward complete 3D structure prediction.

MOAT

978-1-0716-1309-2Springer Science+Business Media, LLC, part of Springer Nature 2021

假设

RNA Bioinformatics978-1-0716-1307-8Series ISSN 1064-3745 Series E-ISSN 1940-6029

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Methods in Molecular Biologyhttp://image.papertrans.cn/r/image/820153.jpg