↓ Skip to main content
What is this page? Embed badge

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.
  5. Altmetric Badge
    Chapter 4 Data and knowledge management in cross-Omics research projects.
  6. Altmetric Badge
    Chapter 5 Statistical analysis principles for Omics data.
  7. Altmetric Badge
    Chapter 6 Statistical methods and models for bridging Omics data levels.
  8. Altmetric Badge
    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.
  12. Altmetric Badge
    Chapter 11 Bioinformatics for Copy Number Variation Data
  13. Altmetric Badge
    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.
  19. Altmetric Badge
    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.
  21. Altmetric Badge
    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 9: Bioinformatics for Omics Data
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
googleplus
1 Google+ user

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
33 Mendeley
citeulike
2 CiteULike
Summary X Google+ Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Bioinformatics for Omics Data
Chapter number 9
Book title
Bioinformatics for Omics Data
Published in
Methods in molecular biology, January 2011
DOI 10.1007/978-1-61779-027-0_9
Pubmed ID
21370085
Book ISBNs
978-1-61779-026-3, 978-1-61779-027-0
Authors

Steve Hoffmann

Editors

Bernd Mayer

Abstract

The advent of High Throughput Sequencing (HTS) methods opens new opportunities for the analysis of genomes and transcriptomes. While the sequencing of a whole mammalian genome took several years at the turn of this century, today it is only a matter of weeks. The race towards the thousand-dollar genome is fueled by the - ethically challenging - idea of personalized genomic medicine. However, these methods allow new and interesting insights in many aspects such as the discovery of novel noncoding RNA classes, structural variants, or alternative splice sites to name a few. Meanwhile, several methods for HTS have been introduced to the markets. Here, an overview on the technologies and the bioinformatics analysis of HTS data is given.

View on publisher site
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Mexico 1 3%
France 1 3%
Brazil 1 3%
Unknown 28 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 30%
Student > Ph. D. Student 7 21%
Student > Bachelor 3 9%
Student > Master 3 9%
Other 2 6%
Other 4 12%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 42%
Biochemistry, Genetics and Molecular Biology 5 15%
Medicine and Dentistry 3 9%
Computer Science 3 9%
Mathematics 1 3%
Other 3 9%
Unknown 4 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 June 2012.
All research outputs
#14,146,599
of 22,668,244 outputs
Outputs from Methods in molecular biology
#4,147
of 13,037 outputs
Outputs of similar age
#138,520
of 183,700 outputs
Outputs of similar age from Methods in molecular biology
#134
of 225 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,037 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 183,700 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.