Please use this identifier to cite or link to this item:
Title: BRAIN: A Universal Tool for High-Throughput Calculations of the Isotopic Distribution for Mass Spectrometry
Authors: Dittwald, Piotr
Claesen, Jürgen 
Burzykowski, Tomasz 
Valkenborg, Dirk 
Gambin, Anna
Issue Date: 2013
Source: ANALYTICAL CHEMISTRY, 85 (4), p. 1991-1994
Abstract: This Letter presents the R-package implementation of the recently introduced polynomial method for calculating the aggregated isotopic distribution called BRAIN (Baffling Recursive Algorithm for Isotopic distributioN calculations). The algorithm is simple, easy to understand, highly accurate, fast, and memory efficient. The method is based on the application of the Newton-Girard theorem and Viète's formulae to the polynomial coding of different aggregated isotopic variants. As a result, an elegant recursive equation is obtained for computing the occurrence probabilities of consecutive aggregated isotopic peaks. Additionally , the algorithm also allows calculating the center-masses of the aggregated isotopic variants. We propose an implementation which is suitable for high-throughput processing and easily customizable for application in different areas of mass spectral data analysis. A case study demonstrates how the R-package can be applied in the context of protein research, but the software can be also used for calculating the isotopic distribution in the context of lipidomics, metabolomics, glycoscience or even space exploration. More materials, i.e., reference manual, vignette, and the package itself are available at Biconductor online.
Document URI:
ISSN: 0003-2700
e-ISSN: 1520-6882
DOI: 10.1021/ac303439m
ISI #: 000315326900005
Rights: © 2013 American Chemical Society.
Category: A1
Type: Journal Contribution
Validations: ecoom 2014
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
Brain- a universal tool.pdf830.71 kBAdobe PDFView/Open
Show full item record


checked on Sep 2, 2020


checked on May 14, 2022

Page view(s)

checked on May 18, 2022


checked on May 18, 2022

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.