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Citations per year

Number of citations per year for the bioinformatics software tool Bokeh
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Protocols

Bokeh specifications

Information


Unique identifier OMICS_18958
Name Bokeh
Interface Application programming interface
Restrictions to use None
Programming languages Python
License BSD 3-clause “New” or “Revised” License
Computer skills Basic
Version 0.12.7
Stability Beta
Maintained Yes

Maintainer


  • person_outline Bokeh Team

Bokeh citations

 (12)
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The Caenorhabditis elegans Female Like State: Decoupling the Transcriptomic Effects of Aging and Sperm Status

2017
PMCID: 5592924
PMID: 28751504
DOI: 10.1534/g3.117.300080
call_split See protocol

[…] ok (). Data analysis was performed using the Pandas, NumPy and SciPy libraries (; ; ). Graphics were created using the Matplotlib and Seaborn libraries (; ). Interactive graphics were generated using Bokeh ().Tissue, phenotype, and gene ontology enrichment analyses (TEA, PEA, and GEA, respectively) were performed using the WormBase Enrichment Suite for Python (, ). Briefly, the WormBase Enrichment […]

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The landscape of BRAF transcript and protein variants in human cancer

2017
Mol Cancer
PMCID: 5410044
PMID: 28454577
DOI: 10.1186/s12943-017-0645-4
call_split See protocol

[…] y of pairing (dG) was taken for each of the 2 molecules. These structures were then compared using a dot plot. The conversion was made taking advantage of the Python interactive visualization library Bokeh, version 0.11.1 (http://bokeh.pydata.org/en/latest/). […]

library_books

Development of a clinical decision support system for diabetes care: A pilot study

2017
PLoS One
PMCID: 5325565
PMID: 28235017
DOI: 10.1371/journal.pone.0173021

[…] Interactive graphs were generated for each of the laboratory tests, with the use of Bokeh (bokeh.pydata.org/), an interactive visualization library in Python. Using all historical test results, these graphs were plotted using test results with test dates as a function. […]

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The effects of an editor serving as one of the reviewers during the peer review process

2016
F1000Res
PMCID: 4962294
PMID: 27508056
DOI: 10.5256/f1000research.9100.r13794
call_split See protocol

[…] ll of the statistical analyses were performed using R and Python. On the Python side, we used statsmodels, scipy, numpy, and pandas for the data manipulation and analysis. To plot the results we used bokeh, matplotlib, and seaborn. Details of all the analysis, together with code to reproduce all image and tables in the paper are available on the companion repository of this paper here: https://git […]

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A Cost Effectiveness Tool for Informing Policies on Zika Virus Control

2016
PLoS Negl Trop Dis
PMCID: 4874682
PMID: 27205899
DOI: 10.1371/journal.pntd.0004743
call_split See protocol

[…] Our interactive web tool was coded in Python (www.python.org) using the NumPy package for scientific computing (http://www.numpy.org/) and the Bokeh interactive visualization library (http://bokeh.pydata.org/). […]

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Clonify: unseeded antibody lineage assignment from next generation sequencing data

2016
Sci Rep
PMCID: 4840318
PMID: 27102563
DOI: 10.1038/srep23901
call_split See protocol

[…] Plots were generated either in Prism (GraphPad) or in Python using the Matplotlib (matplotlib.org), Bokeh (bokeh.pydata.org) and Seaborn (stanford.edu/~mwaskom/software/seaborn/) graphing packages. […]


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