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

Statistical Genomics

Overview of attention for book
Cover of 'Statistical Genomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Overview of Sequence Data Formats
  3. Altmetric Badge
    Chapter 2 Integrative Exploratory Analysis of Two or More Genomic Datasets
  4. Altmetric Badge
    Chapter 3 Study Design for Sequencing Studies
  5. Altmetric Badge
    Chapter 4 Genomic Annotation Resources in R/Bioconductor
  6. Altmetric Badge
    Chapter 5 The Gene Expression Omnibus Database
  7. Altmetric Badge
    Chapter 6 A Practical Guide to The Cancer Genome Atlas (TCGA)
  8. Altmetric Badge
    Chapter 7 Working with Oligonucleotide Arrays
  9. Altmetric Badge
    Chapter 8 Meta-Analysis in Gene Expression Studies
  10. Altmetric Badge
    Chapter 9 Practical Analysis of Genome Contact Interaction Experiments
  11. Altmetric Badge
    Chapter 10 Quantitative Comparison of Large-Scale DNA Enrichment Sequencing Data
  12. Altmetric Badge
    Chapter 11 Variant Calling From Next Generation Sequence Data
  13. Altmetric Badge
    Chapter 12 Genome-Scale Analysis of Cell-Specific Regulatory Codes Using Nuclear Enzymes
  14. Altmetric Badge
    Chapter 13 NGS-QC Generator: A Quality Control System for ChIP-Seq and Related Deep Sequencing-Generated Datasets
  15. Altmetric Badge
    Chapter 14 Operating on Genomic Ranges Using BEDOPS
  16. Altmetric Badge
    Chapter 15 GMAP and GSNAP for Genomic Sequence Alignment: Enhancements to Speed, Accuracy, and Functionality
  17. Altmetric Badge
    Chapter 16 Visualizing Genomic Data Using Gviz and Bioconductor
  18. Altmetric Badge
    Chapter 17 Introducing Machine Learning Concepts with WEKA
  19. Altmetric Badge
    Chapter 18 Experimental Design and Power Calculation for RNA-seq Experiments
  20. Altmetric Badge
    Chapter 19 It’s DE-licious: A Recipe for Differential Expression Analyses of RNA-seq Experiments Using Quasi-Likelihood Methods in edgeR
Attention for Chapter 14: Operating on Genomic Ranges Using BEDOPS
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
1 X user

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
9 Mendeley
Summary X 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
Operating on Genomic Ranges Using BEDOPS
Chapter number 14
Book title
Statistical Genomics
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3578-9_14
Pubmed ID
27008020
Book ISBNs
978-1-4939-3576-5, 978-1-4939-3578-9
Authors

Shane Neph B.S., Alex P. Reynolds M.S., M. Scott Kuehn M.S., John A. Stamatoyannopoulos M.D., Neph, Shane, Reynolds, Alex P, Kuehn, M Scott, Stamatoyannopoulos, John A, Shane Neph, Alex P. Reynolds, M. Scott Kuehn, John A. Stamatoyannopoulos

Editors

Ewy Mathé, Sean Davis

Abstract

The bulk of modern genomics research includes, in part, analyses of large data sets, such as those derived from high resolution, high-throughput experiments, that make computations challenging. The BEDOPS toolkit offers a broad spectrum of fundamental analysis capabilities to query, operate on, and compare quantitatively genomic data sets of any size and number. The toolkit facilitates the construction of complex analysis pipelines that remain efficient in both memory and time by chaining together combinations of its complementary components. The principal utilities accept raw or compressed data in a flexible format, and they provide built-in features to expedite parallel computations.

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Researcher 4 44%
Unknown 1 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 44%
Biochemistry, Genetics and Molecular Biology 3 33%
Neuroscience 1 11%
Unknown 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 24 March 2016.
All research outputs
#15,365,885
of 22,858,915 outputs
Outputs from Methods in molecular biology
#5,349
of 13,128 outputs
Outputs of similar age
#230,927
of 393,637 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,470 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,128 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 393,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.