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Protein Networks and Pathway Analysis

Overview of attention for book
Cover of 'Protein Networks and Pathway Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Mining Protein–Protein Interactions from Published Literature Using Linguamatics I2E
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    Chapter 2 Relative Avidity, Specificity, and Sensitivity of Transcription Factor–DNA Binding in Genome-Scale Experiments
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    Chapter 3 Curation of Inhibitor-Target Data: Process and Impact on Pathway Analysis
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    Chapter 4 Profiling Protein Interaction Networks with Functional Protein Microarrays
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    Chapter 5 Manual Annotation of Protein Interactions
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    Chapter 6 Gene Set Enrichment Analysis
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    Chapter 7 PANTHER pathway: an ontology-based pathway database coupled with data analysis tools.
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    Chapter 8 Prioritizing Genes for Pathway Impact Using Network Analysis
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    Chapter 9 Discovering Biological Networks from Diverse Functional Genomic Data
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    Chapter 10 Functional Analysis of OMICs Data and Small Molecule Compounds in an Integrated “Knowledge-Based” Platform
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    Chapter 11 Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data
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    Chapter 12 Cytoscape: A Community-Based Framework for Network Modeling
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    Chapter 13 Semantic data integration and knowledge management to represent biological network associations.
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    Chapter 14 Solutions for Complex, Multi Data Type and Multi Tool Analysis: Principles and Applications of Using Workflow and Pipelining Methods
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    Chapter 15 High-Throughput siRNA Screening as a Method of Perturbation of Biological Systems and Identification of Targeted Pathways Coupled with Compound Screening
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    Chapter 16 Pathway and Network Analysis with High-Density Allelic Association Data
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    Chapter 17 miRNAs: From Biogenesis to Networks
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    Chapter 18 MetaMiner (CF): A Disease-Oriented Bioinformatics Analysis Environment
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    Chapter 19 Translational Research and Biomedical Informatics
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    Chapter 20 ArrayTrack: an FDA and public genomic tool.
Attention for Chapter 20: ArrayTrack: an FDA and public genomic tool.
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Chapter title
ArrayTrack: an FDA and public genomic tool.
Chapter number 20
Book title
Protein Networks and Pathway Analysis
Published in
Methods in molecular biology, July 2009
DOI 10.1007/978-1-60761-175-2_20
Pubmed ID
Book ISBNs
978-1-60761-174-5, 978-1-60761-175-2
Authors

Hong Fang, Stephen C. Harris, Zhenjiang Su, Minjun Chen, Feng Qian, Leming Shi, Roger Perkins, Weida Tong, Fang, Hong, Harris, Stephen C., Su, Zhenjiang, Chen, Minjun, Qian, Feng, Shi, Leming, Perkins, Roger, Tong, Weida

Abstract

A robust bioinformatics capability is widely acknowledged as central to realizing the promises of toxicogenomics. Successful application of toxicogenomic approaches, such as DNA microarrays, inextricably relies on appropriate data management, the ability to extract knowledge from massive amounts of data, and the availability of functional information for data interpretation. At the FDA's National Center for Toxicological Research (NCTR), we are developing a public microarray data management and analysis software, called ArrayTrack, that is also used in the routine review of genomic data submitted to the FDA. ArrayTrack stores a full range of information related to DNA microarrays and clinical and non-clinical studies as well as the digested data derived from proteomics and metabonomics experiments. In addition, ArrayTrack provides a rich collection of functional information about genes, proteins, and pathways drawn from various public biological databases for facilitating data interpretation. Many data analysis and visualization tools are available with ArrayTrack for individual platform data analysis, multiple omics data integration, and integrated analysis of omics data with study data. Importantly, gene expression data, functional information, and analysis methods are fully integrated so that the data analysis and interpretation process is simplified and enhanced. Using ArrayTrack, users can select an analysis method from the ArrayTrack tool box, apply the method to selected microarray data, and the analysis of results can be directly linked to individual gene, pathway, and Gene Ontology analysis. ArrayTrack is publicly available online ( http://www.fda.gov/nctr/science/centers/toxicoinformatics/ArrayTrack/index.htm ) and the prospective user can also request a local installation version by contacting the authors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Student > Ph. D. Student 3 25%
Professor 1 8%
Other 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Biochemistry, Genetics and Molecular Biology 2 17%
Agricultural and Biological Sciences 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Chemistry 1 8%
Other 1 8%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 March 2012.
All research outputs
#7,455,523
of 22,792,160 outputs
Outputs from Methods in molecular biology
#2,318
of 13,110 outputs
Outputs of similar age
#37,036
of 110,042 outputs
Outputs of similar age from Methods in molecular biology
#3
of 17 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,110 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 76% of its peers.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.