Publication Details

Reference Category Book chapters
DOI / URL link
Title (Primary) Bioinformatics for RNomics
Title (Secondary) Bioinformatics for Omics data
Author Reiche, K.; Schutt, K.; Boll, K.; Horn, F.; Hackerm├╝ller, J.;
Publisher Mayer, B.;
Journal Methods in Molecular Biology
Year 2011
Department PROTEOM;
Volume 719
Language englisch;
Keywords RNomics; Non-coding RNA; ncRNA; Transcriptome; Bioinformatics; Regulatory RNA
Rapid improvements in high-throughput experimental technologies make it nowadays possible to study the expression, as well as changes in expression, of whole transcriptomes under different environmental conditions in a detailed view. We describe current approaches to identify genome-wide functional RNA transcripts (experimentally as well as computationally), and focus on computational methods that may be utilized to disclose their function. While genome databases offer a wealth of information about known and putative functions for protein-coding genes, functional information for novel non-coding RNA genes is almost nonexistent. This is mainly explained by the lack of established software tools to efficiently reveal the function and evolutionary origin of non-coding RNA genes. Here, we describe in detail computational approaches one may follow to annotate and classify an RNA transcript.
ID 12938
Persistent UFZ Identifier
Reiche, K., Schutt, K., Boll, K., Horn, F., Hackerm├╝ller, J. (2011):
Bioinformatics for RNomics
In: Mayer, B. (ed.)
Bioinformatics for Omics data
Methods in Molecular Biology 719
Humana Press, p. 299 - 330