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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.
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    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.
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    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.
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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
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    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 19: Integrating Omics data for signaling pathways, interactome reconstruction, and functional analysis.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
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1 X user
peer_reviews
1 peer review site
f1000
1 research highlight platform

Citations

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23 Dimensions

Readers on

mendeley
43 Mendeley
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5 CiteULike
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Chapter title
Integrating Omics data for signaling pathways, interactome reconstruction, and functional analysis.
Chapter number 19
Book title
Bioinformatics for Omics Data
Published in
Methods in molecular biology, January 2011
DOI 10.1007/978-1-61779-027-0_19
Pubmed ID
Book ISBNs
978-1-61779-026-3, 978-1-61779-027-0
Authors

Tieri P, de la Fuente A, Termanini A, Franceschi C, Paolo Tieri, Alberto de la Fuente, Alberto Termanini, Claudio Franceschi, Tieri, Paolo, de la Fuente, Alberto, Termanini, Alberto, Franceschi, Claudio

Editors

Bernd Mayer

Abstract

Omics data and computational approaches are today providing a key to disentangle the complex architecture of living systems. The integration and analysis of data of different nature allows to extract meaningful representations of signaling pathways and protein interactions networks, helpful in achieving an increased understanding of such intricate biochemical processes. We here describe a general workflow and relative hurdles in integrating online Omics data and analyzing reconstructed representations by using the available computational platforms.

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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 5%
United States 2 5%
Malaysia 1 2%
Russia 1 2%
Unknown 37 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 33%
Student > Ph. D. Student 10 23%
Professor 4 9%
Other 4 9%
Professor > Associate Professor 4 9%
Other 6 14%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 65%
Computer Science 4 9%
Medicine and Dentistry 3 7%
Environmental Science 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 2 5%
Unknown 2 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 03 December 2014.
All research outputs
#3,161,097
of 22,660,862 outputs
Outputs from Methods in molecular biology
#731
of 13,020 outputs
Outputs of similar age
#20,223
of 183,665 outputs
Outputs of similar age from Methods in molecular biology
#17
of 225 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,020 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 94% 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 183,665 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
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 has done particularly well, scoring higher than 92% of its contemporaries.