Byron Ellis

TL;DR: Details of the aims and methods of Bioconductor, the collaborative creation of extensible software for computational biology and bioinformatics, and current challenges are described.

TL;DR: A set of flexible open source computational tools in the R package flowCore that constitutes a shared and extensible research platform that enables collaboration between bioinformaticians, computer scientists, statisticians, biologists and clinicians will foster the development of novel analytic methods for flow cytometry.

TL;DR: With the prospect of tissue-engineered cartilage implants becoming available for laryngotracheal reconstruction, the most appropriate templates for designing these implants should be based on the geometric dimensions of grafts carved from native tissues in cases that have been successfully decannulated.

TL;DR: The Bioconductor project as discussed by the authors is an initiative for the collaborative creation of extensible software for computational biology and bioinformatics, which aims to foster collaborative development and widespread use of innovative software, reduce barriers to entry into interdisciplinary scientific research, and promote the achievement of remote reproducibility of research results.

TL;DR: This work developed a set of computational tools in the R package flowCore to facilitate the analysis of large complex data sets with any covariates, and proposes R data structures to handle flow cytometry data through the main steps of importing, storing, assessing and preprocessing data from Flow cytometry experiments.