version bump to 1.0.0

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: POMA
 Title: User-friendly Workflow for Pre-processing and Statistical Analysis of Mass Spectrometry Data   
-Version: 0.99.45
+Version: 1.0.0
 Authors@R: 
     c(person(given = "Pol",
              family = "Castellano-Escuder",

NEWS.md

@@ -1,3 +1,7 @@
+# POMA 1.0.0
+
+* Released to Bioconductor 3.12
+
 # POMA 0.99.45
 
 * PomaOutliers bug fixed

README.Rmd

@@ -17,7 +17,7 @@ output: github_document
 
   <!-- badges: end -->
 
-[**POMA**](http://pcastellanoescuder.github.io/POMA/) introduces a structured, reproducible and easy use workflow for the visualization, pre-processing, exploratory and statistical analysis of mass spectrometry data. The main aim of `POMA` is to enable a flexible data cleaning and statistical analysis processes in one comprehensible and user-friendly R package. This package uses the standardized [**MSnbase**](http://lgatto.github.io/MSnbase/) data structures, developed by [Laurent Gatto](http://lgatto.github.io/), to achieve the maximum flexibility and reproducibility and makes `POMA` compatible with pre-existing [Bioconductor](https://bioconductor.org) packages.     
+[**POMA**](http://pcastellanoescuder.github.io/POMA/) introduces a structured, reproducible and easy-to-use workflow for the visualization, pre-processing, exploratory and statistical analysis of mass spectrometry data. The main aim of `POMA` is to enable a flexible data cleaning and statistical analysis processes in one comprehensible and user-friendly R package. This package uses the standardized [**MSnbase**](http://lgatto.github.io/MSnbase/) data structures, developed by [Laurent Gatto](http://lgatto.github.io/), to achieve the maximum flexibility and reproducibility and makes `POMA` compatible with other [Bioconductor](https://bioconductor.org) packages.     
 
 `POMA` also has two different Shiny app modules both for Exploratory Data Analysis and Statistical Analysis that implement all `POMA` functions in two user-friendly web interfaces.     
 

README.md

@@ -23,15 +23,15 @@ v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/li
 <!-- badges: end -->
 
 [**POMA**](http://pcastellanoescuder.github.io/POMA/) introduces a
-structured, reproducible and easy use workflow for the visualization,
+structured, reproducible and easy-to-use workflow for the visualization,
 pre-processing, exploratory and statistical analysis of mass
 spectrometry data. The main aim of `POMA` is to enable a flexible data
 cleaning and statistical analysis processes in one comprehensible and
 user-friendly R package. This package uses the standardized
 [**MSnbase**](http://lgatto.github.io/MSnbase/) data structures,
 developed by [Laurent Gatto](http://lgatto.github.io/), to achieve the
 maximum flexibility and reproducibility and makes `POMA` compatible with
-pre-existing [Bioconductor](https://bioconductor.org) packages.
+other [Bioconductor](https://bioconductor.org) packages.
 
 `POMA` also has two different Shiny app modules both for Exploratory
 Data Analysis and Statistical Analysis that implement all `POMA`