Year: 2017
Type: article
Abstract: Summary: We introduce matter , an R package for direct interactions with larger-than-memory datasets, stored in an arbitrary number of files of any size. matter is primarily designed for datasets in new and rapidly evolving file formats, which may lack extensive software support. matter enables a wide variety of data exploration and manipulation steps, and is extensible to many bioinformatics applications. It supports reproducible research by minimizing the need of converting and storing data in multiple formats. We illustrate the performance of matter in conjunction with the Bioconductor package Cardinal for analysis of high-resolution, high-throughput mass spectrometry imaging experiments. Availability: The package, vignettes, and examples of applications in several areas of bioinformatics are available open-source at www.bioconductor.org under the Artistic-2.0 license. Contact: [email protected].
Source: Bioinformatics
Authors: Kylie A Bemis, Olga Vitek
Institution: Northeastern University
Language: English
Topic: Data Analysis with R
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,989
Funder: National Science Foundation
OpenAlex ID: W2625100593