Identification of Impulse-Like Gene Expression Changes in Short Genomic Series Data

Enables the user to systematically identify and visualize impulse-like gene expression changes within short genomic series experiments. In order to detect such activation peaks, the gene expression is treated as a signal that propagates along an experimental axis (time, temperature or other series conditions). Peaks are selected by exhaustive identification of local maximums and subsequent filtering based on a range of controllable parameters. Moreover, the 'Biopeak' package provides a series of data exploration tools including: expression profile plots, correlation heat maps and clustering functionalities.


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install.packages("Biopeak")

1.0 by David Lauenstein, a year ago


Browse source code at https://github.com/cran/Biopeak


Authors: David Lauenstein


Documentation:   PDF Manual  


GPL (>= 2) license


Imports cluster, dbscan, factoextra, gplots, RColorBrewer, stats, graphics

Suggests knitr, rmarkdown


See at CRAN