Open Access
Open access
Bioinformatics, volume 26, issue 8, pages 1129-1130

BioNet: an R-Package for the functional analysis of biological networks

Publication typeJournal Article
Publication date2010-02-25
Journal: Bioinformatics
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor5.8
ISSN13674803, 13674811, 14602059
Biochemistry
Computer Science Applications
Molecular Biology
Statistics and Probability
Computational Mathematics
Computational Theory and Mathematics
Abstract
Increasing quantity and quality of data in transcriptomics and interactomics create the need for integrative approaches to network analysis. Here, we present a comprehensive R-package for the analysis of biological networks including an exact and a heuristic approach to identify functional modules.The BioNet package provides an extensive framework for integrated network analysis in R. This includes the statistics for the integration of transcriptomic and functional data with biological networks, the scoring of nodes as well as methods for network search and visualization.The BioNet package and a tutorial are available from http://bionet.bioapps.biozentrum.uni-wuerzburg.de.

Top-30

Citations by journals

2
4
6
8
10
12
Bioinformatics
12 publications, 6.12%
BMC Bioinformatics
8 publications, 4.08%
PLoS ONE
8 publications, 4.08%
Scientific Reports
7 publications, 3.57%
Oncology Letters
6 publications, 3.06%
Nucleic Acids Research
5 publications, 2.55%
Methods in Molecular Biology
4 publications, 2.04%
PLoS Computational Biology
4 publications, 2.04%
Oncotarget
3 publications, 1.53%
Molecular Medicine Reports
3 publications, 1.53%
BMC Systems Biology
3 publications, 1.53%
BMC Genomics
3 publications, 1.53%
Life Science Alliance
3 publications, 1.53%
Lecture Notes in Computer Science
3 publications, 1.53%
Journal of Immunology
2 publications, 1.02%
Journal of Computational Biology
2 publications, 1.02%
Tumori
2 publications, 1.02%
Frontiers in Genetics
2 publications, 1.02%
Nature Communications
2 publications, 1.02%
Computational and Structural Biotechnology Journal
2 publications, 1.02%
Gene
2 publications, 1.02%
Translational Cancer Research
2 publications, 1.02%
Molecular Systems Biology
1 publication, 0.51%
American Journal of Respiratory and Critical Care Medicine
1 publication, 0.51%
F1000Research
1 publication, 0.51%
Aging
1 publication, 0.51%
Medicine (United States)
1 publication, 0.51%
Evolutionary Bioinformatics
1 publication, 0.51%
Cancer Informatics
1 publication, 0.51%
2
4
6
8
10
12

Citations by publishers

10
20
30
40
50
60
Springer Nature
57 publications, 29.08%
Elsevier
21 publications, 10.71%
Oxford University Press
19 publications, 9.69%
Cold Spring Harbor Laboratory
18 publications, 9.18%
Wiley
15 publications, 7.65%
Public Library of Science (PLoS)
13 publications, 6.63%
Spandidos Publications
9 publications, 4.59%
Multidisciplinary Digital Publishing Institute (MDPI)
6 publications, 3.06%
Impact Journals
4 publications, 2.04%
SAGE
4 publications, 2.04%
Frontiers Media S.A.
3 publications, 1.53%
Rockefeller University Press
3 publications, 1.53%
Association for Computing Machinery (ACM)
3 publications, 1.53%
The American Association of Immunologists
2 publications, 1.02%
Mary Ann Liebert
2 publications, 1.02%
AME Publishing Company
2 publications, 1.02%
American Thoracic Society
1 publication, 0.51%
F1000 Research
1 publication, 0.51%
Wolters Kluwer Health
1 publication, 0.51%
American Society for Biochemistry and Molecular Biology
1 publication, 0.51%
American Chemical Society (ACS)
1 publication, 0.51%
Taylor & Francis
1 publication, 0.51%
American Association for the Advancement of Science (AAAS)
1 publication, 0.51%
eLife Sciences Publications
1 publication, 0.51%
IEEE
1 publication, 0.51%
Cambridge University Press
1 publication, 0.51%
10
20
30
40
50
60
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
Share
Cite this
GOST |
Cite this
GOST Copy
Beisser D. et al. BioNet: an R-Package for the functional analysis of biological networks // Bioinformatics. 2010. Vol. 26. No. 8. pp. 1129-1130.
GOST all authors (up to 50) Copy
Beisser D., Klau G. W., Dandekar T., Müller T., Dittrich M. BioNet: an R-Package for the functional analysis of biological networks // Bioinformatics. 2010. Vol. 26. No. 8. pp. 1129-1130.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1093/bioinformatics/btq089
UR - https://doi.org/10.1093/bioinformatics/btq089
TI - BioNet: an R-Package for the functional analysis of biological networks
T2 - Bioinformatics
AU - Beisser, Daniela
AU - Klau, Gunnar W.
AU - Dandekar, Thomas
AU - Müller, T
AU - Dittrich, Marcus
PY - 2010
DA - 2010/02/25
PB - Oxford University Press
SP - 1129-1130
IS - 8
VL - 26
SN - 1367-4803
SN - 1367-4811
SN - 1460-2059
ER -
BibTex |
Cite this
BibTex Copy
@article{2010_Beisser,
author = {Daniela Beisser and Gunnar W. Klau and Thomas Dandekar and T Müller and Marcus Dittrich},
title = {BioNet: an R-Package for the functional analysis of biological networks},
journal = {Bioinformatics},
year = {2010},
volume = {26},
publisher = {Oxford University Press},
month = {feb},
url = {https://doi.org/10.1093/bioinformatics/btq089},
number = {8},
pages = {1129--1130},
doi = {10.1093/bioinformatics/btq089}
}
MLA
Cite this
MLA Copy
Beisser, Daniela, et al. “BioNet: an R-Package for the functional analysis of biological networks.” Bioinformatics, vol. 26, no. 8, Feb. 2010, pp. 1129-1130. https://doi.org/10.1093/bioinformatics/btq089.
Found error?