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scbursts: An R package for analysis and sorting of single-channel bursts
Author(s) -
Blair Drummond,
Christian Tessier,
Mathieu F. Dextraze,
Corrie J.B. daCosta
Publication year - 2019
Publication title -
softwarex
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 21
ISSN - 2352-7110
DOI - 10.1016/j.softx.2019.100285
Subject(s) - computer science , channel (broadcasting) , sorting , pipeline (software) , parsing , software , algorithm , programming language , telecommunications
Analysis of single-channel activity provides unparalleled insight into ion channel structure, function, and mechanism. An essential step in the analysis pipeline is the assignment and sorting of bursts of activity that can be attributed to a single ion channel. Here we present scbursts, an R package for the analysis and sorting of single-channel bursts. Using scbursts, idealized data from a variety of single-channel analysis software packages can be read directly into R, and parsed into bursts according to a user-defined critical closed duration. Bursts can be analyzed and sorted based on a variety of parameters, including burst open probability, and the number of openings per burst. Sorted bursts can then be exported in a standard format for downstream kinetic fitting. We provide examples illustrating the implementation and utility of scbursts, as well as how scbursts brings the statistical prowess and versatility of R to single-channel analysis.

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