Non-coding RNAs in Complex Diseases A Bioinformatics Perspective /

This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseas...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Li, Xia (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Xu, Juan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Xiao, Yun (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ning, Shangwei (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhang, Yunpeng (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Advances in Experimental Medicine and Biology, 1094
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Chapter 1. Non-coding RNA resources
  • Chapter 2. Systematic identification of non-coding RNAs
  • Chapter 3. Functional characterization of non-coding RNAs through genomic data fusion
  • Chapter 4. Genomic-scale prioritization of disease-related non-coding RNAs
  • Chapter 5. Genome-wide mapping of SNPs in non-coding RNAs
  • Chapter 6. Profiling DNA methylation patterns of non-coding RNAs (ncRNAs) in human disease
  • Chapter 7. Aberrant epigenetic modifications of non-coding RNAs in human disease
  • Chapter 8. Computationally modeling ncRNA-ncRNA crosstalk
  • Chapter 9. Computational inferring of risk subpathways mediated by dysfunctional non-coding RNAs
  • Chapter 10. Computational identification of cross-talking ceRNAs
  • Chapter 11. Prediction of non-coding RNAs as drug targets
  • Chapter 12. Methods for Identification of Protein-RNA interaction.