RNA Bioinformatics
Springer-Verlag New York Inc.
978-1-0716-1306-1 (ISBN)
Written for the highly successful Methods in Molecular Biology series, chapters include the kind of expert implementation advice that encourages quality results. Comprehensive and up-to-date, RNA Bioinformatics, Second Edition serves as an ideal guide for researchers digging ever-deeper into the depths of the study of RNAs.
The chapter 'RNA-Seq Data Analysis in Galaxy' is open access under a CC BY 4.0 license.
Advanced Design of Structural RNAs Using RNARedPrint.- Modeling and Predicting RNA Three-Dimensional Structures.- Motif Discovery from CLIP Experiments.- Profiling of RNA Structure at Single-Nucleotide Resolution Using nextPARS.- RNA Framework for Assaying the Structure of RNAs by High-Throughput Sequencing.- Using RNentropy to Detect Significant Variation in Gene Expression across Multiple RNA-Seq or Single Cell RNA-Seq Samples.- Statistical Modeling of High Dimensional Counts.- QuickIsoSeq for Isoform Quantification in Large-Scale RNA Sequencing.- Summarizing RNA-Seq Data or Differentially Expressed Genes Using Gene Set, Network or Pathway Analysis.- Computational Analysis of circRNA Expression Data.- Differential Expression Analysis of Long Non-Coding RNAs.- Micro-RNA Quantification, Target Gene Identification, and Pathway Analysis.- In Silico Analysis of MicroRNA Sequencing Data.- RNA Editing Detection in HPC Infrastructures.- Identification of Genes Post-Transcriptionally Regulated from RNA-Seq: The Case Study of Liver Hepatocellular Carcinoma.- Computational Analysis of Single Cell RNA-Seq Data.- Normalization of Single-Cell RNA-Seq Data.- Dimensionality Reduction of Single-Cell RNA-Seq Data.- Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview.- RNA-Seq Data Analysis in Galaxy.- RAP: A Web Tool for RNA-Seq Data Analysis.- iDEP Web Application for RNA-Seq Data Analysis.- Exploring Non-Invasive Biomarkers with the miRandola Database: A Tool for Translational Medicine.- Database Resources for Functional Circular RNAs.- Databases for RNA Editing Collections.- MODOMICS: An Operational Guide to the Use of the RNA Modification Pathways Database.- MeT-DB V2.0: Elucidating Context-Specific Functions of N6-Methyl-Adenosine Methyltranscriptome.- WHISTLE: A Functionally Annotated High-Accuracy Map of Human m6A Epitranscriptome.- Transcript Identification through Long-Read Sequencing.- Transcript Isoform-Specific Estimation of Poly(A)Tail Length by Nanopore Sequencing of Native RNA.- Nanopore RNA Sequencing Analysis.
Erscheinungsdatum | 19.04.2021 |
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Reihe/Serie | Methods in Molecular Biology ; 2284 |
Zusatzinfo | 178 Illustrations, color; 25 Illustrations, black and white; XIV, 581 p. 203 illus., 178 illus. in color. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Informatik ► Weitere Themen ► Bioinformatik | |
Naturwissenschaften ► Biologie ► Biochemie | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
Schlagworte | Computational Biology • Database resources • Non-coding RNAs • RNA Biology • RNA modifications • RNA-Seq data |
ISBN-10 | 1-0716-1306-5 / 1071613065 |
ISBN-13 | 978-1-0716-1306-1 / 9781071613061 |
Zustand | Neuware |
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