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Bioinformatics for Omics Data

Overview of attention for book
Cover of 'Bioinformatics for Omics Data'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Omics technologies, data and bioinformatics principles.
  3. Altmetric Badge
    Chapter 2 Data standards for Omics data: the basis of data sharing and reuse.
  4. Altmetric Badge
    Chapter 3 Omics data management and annotation.
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    Chapter 4 Data and knowledge management in cross-Omics research projects.
  6. Altmetric Badge
    Chapter 5 Statistical analysis principles for Omics data.
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    Chapter 6 Statistical methods and models for bridging Omics data levels.
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    Chapter 7 Analysis of time course Omics datasets.
  9. Altmetric Badge
    Chapter 8 The use and abuse of -omes.
  10. Altmetric Badge
    Chapter 9 Bioinformatics for Omics Data
  11. Altmetric Badge
    Chapter 10 Analysis of single nucleotide polymorphisms in case-control studies.
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    Chapter 11 Bioinformatics for Copy Number Variation Data
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    Chapter 12 Processing ChIP-chip data: from the scanner to the browser.
  14. Altmetric Badge
    Chapter 13 Insights into global mechanisms and disease by gene expression profiling.
  15. Altmetric Badge
    Chapter 14 Bioinformatics for RNomics.
  16. Altmetric Badge
    Chapter 15 Bioinformatics for qualitative and quantitative proteomics.
  17. Altmetric Badge
    Chapter 16 Bioinformatics for mass spectrometry-based metabolomics.
  18. Altmetric Badge
    Chapter 17 Computational analysis workflows for Omics data interpretation.
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    Chapter 18 Integration, warehousing, and analysis strategies of Omics data.
  20. Altmetric Badge
    Chapter 19 Integrating Omics data for signaling pathways, interactome reconstruction, and functional analysis.
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    Chapter 20 Network inference from time-dependent Omics data.
  22. Altmetric Badge
    Chapter 21 Omics and literature mining.
  23. Altmetric Badge
    Chapter 22 Bioinformatics for Omics Data
  24. Altmetric Badge
    Chapter 23 Omics-based identification of pathophysiological processes.
  25. Altmetric Badge
    Chapter 24 Data mining methods in Omics-based biomarker discovery.
  26. Altmetric Badge
    Chapter 25 Integrated bioinformatics analysis for cancer target identification.
  27. Altmetric Badge
    Chapter 26 Bioinformatics for Omics Data
Attention for Chapter 14: Bioinformatics for RNomics.
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Citations

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Chapter title
Bioinformatics for RNomics.
Chapter number 14
Book title
Bioinformatics for Omics Data
Published in
Methods in molecular biology, January 2011
DOI 10.1007/978-1-61779-027-0_14
Pubmed ID
21370090
Book ISBNs
978-1-61779-026-3, 978-1-61779-027-0
Authors

Kristin Reiche, Katharina Schutt, Kerstin Boll, Friedemann Horn, Jörg Hackermüller, Reiche, Kristin, Schutt, Katharina, Boll, Kerstin, Horn, Friedemann, Hackermüller, Jörg

Editors

Bernd Mayer

Abstract

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.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Taiwan 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 67%
Professor 1 11%
Student > Ph. D. Student 1 11%
Other 1 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 56%
Medicine and Dentistry 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%
Environmental Science 1 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 October 2018.
All research outputs
#18,964,134
of 23,504,998 outputs
Outputs from Methods in molecular biology
#8,176
of 13,360 outputs
Outputs of similar age
#166,137
of 187,236 outputs
Outputs of similar age from Methods in molecular biology
#168
of 228 outputs
Altmetric has tracked 23,504,998 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,360 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.

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