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

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書目名稱RNA Bioinformatics影響因子(影響力)




書目名稱RNA Bioinformatics影響因子(影響力)學(xué)科排名




書目名稱RNA Bioinformatics網(wǎng)絡(luò)公開度




書目名稱RNA Bioinformatics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱RNA Bioinformatics被引頻次




書目名稱RNA Bioinformatics被引頻次學(xué)科排名




書目名稱RNA Bioinformatics年度引用




書目名稱RNA Bioinformatics年度引用學(xué)科排名




書目名稱RNA Bioinformatics讀者反饋




書目名稱RNA Bioinformatics讀者反饋學(xué)科排名

inferno

CRAMP

Computational Analysis of circRNA Expression Data,ally reproducible analysis of circRNA expression starting for a public RNA-Seq experiment. The main steps of circRNA prediction, annotation, classification, sequence reconstruction, quantification, and differential expression are illustrated.

裹住

制定

Advanced Design of Structural RNAs Using RNARedPrint,erties. This chapter describes how to use the software . for the de novo rational design of RNA sequences adopting one or several desired secondary structures. Depending on the application, these structures could represent alternate configurations or kinetic pathways. The software makes such design

重畫只能放棄

Modeling and Predicting RNA Three-Dimensional Structures,cs-based approaches and molecular dynamics simulations are not tractable on large molecules with all-atom models. To address this issue, coarse-grained models of RNA three-dimensional structures have been developed. In this chapter, we describe a graphical modeling based on the Leontis–Westhof exten

虛構(gòu)的東西

Motif Discovery from CLIP Experiments, RNA-Binding Proteins, and several methods have been developed to meet the need of fast and efficient discovery of interaction motifs. Recent advances have increased the amount of data produced by experimental assays and there is no available method suitable for the analysis of all type of results.

Wernickes-area

Profiling of RNA Structure at Single-Nucleotide Resolution Using nextPARS, secondary structure of RNAs is central to understanding RNA function and evolution. RNA structure probing techniques coupled to high-throughput sequencing allow determining structural features of RNA molecules at transcriptome-wide scales. Our group recently developed a novel Illumina-based impleme

PANT

過濾

Using RNentropy to Detect Significant Variation in Gene Expression Across Multiple RNA-Seq or Singlhave been proposed to model and detect differential gene expression based on the comparison of transcript abundances across different samples. However, state-of-the-art methods for this task are usually designed for pairwise comparisons, that is, can identify significant variation of expression only