Title: Analyse Text Documents Using Ecological Tools
Author: Rebaudo Francois (IRD, UMR EGCE, Univ.ParisSud-CNRS-IRD-
Description: A set of functions and a graphical user interface
to analyse and compare texts, using classical text mining
functions, as well as those from theoretical ecology.
Imports: wordcloud (>= 2.5), RColorBrewer (>= 1.1-2), tm (>= 0.6-2),

Author: Rebaudo Francois (IRD, UMR EGCE, IRD, CNRS, Univ. ParisSaclay)
Description: A set of functions to analyse and compare texts, using classical
text mining	functions, as well as those from theoretical ecology.

Description: It provides in-place operators for R
that are equivalent to '+=', '-=', '*=', '/=' in C++.
Those can be applied on integer|double vectors|matrices.
You have also access to sweep operations (in-place).
Suggests: spelling, data.table, testthat, covr

Description: A user-friendly interface, using Shiny, to analyse glucose-stimulated insulin secretion (GSIS)
assays in pancreatic beta cells or islets.
The package allows the user to import several sets of experiments from different spreadsheets
and to perform subsequent steps: summarise in a tidy format, visualise data quality
and compare experimental conditions without omitting to account for technical confounders
such as the date of the experiment or the technician.
Together, insane is a comprehensive method that optimises pre-processing and analyses of
GSIS experiments in a friendly-user interface.
The Shiny App was initially designed for EndoC-betaH1 cell line following method described
Imports: stats, utils, broom (>= 0.5.6), dplyr (>= 1.0.0), DT (>=

Title: Informatic Sequence Classification Trees
Description: Provides a bioinformatics pipeline for DNA meta-barcoding analysis, including functions for sequence parsing, demultiplexing, quality filtering and probabilistic taxon assignment with informatic sequence classification trees. See Wilkinson et al (2018) <doi:10.7287/peerj.preprints.26812v1>.
phylogram (>= 2.0.0), stats, utils, xml2

Description: Provides tools for probabilistic taxon assignment with informatic sequence classification trees. See Wilkinson et al (2018) <doi:10.7287/peerj.preprints.26812v1>.
phylogram (>= 2.0.0), RANN, seqinr, stats, utils, xml2