Matteo Re, Giorgio Valentini -- Universita' degli Studi di
Milano
Data Package that includes several examples of chemical
and biological data networks, i.e. data graph structured.

Biopara is a parallel system designed to be used with R.

Visualization of Overlapping Results with Heatmap
Visualization of complex biological datasets is
essential to understand complementary spects of biology
in big data era.
In addition, analyzing of multiple datasets enables to
understand biologcal processes deeply and accurately.
Multiple datasets produce multiple analysis results, and
these overlappings are usually visualized in Venn diagram.
bioplots is a tiny R package that generates a heatmap to
visualize overlappings instead of using Venn diagram.

Search and Download Papers from the bioRxiv Preprint Server
c(person("Edmund", "Hart", role = c("aut","cre"),
email = "edmund.m.hart@gmail.com"))
The bioRxiv preprint server (http://www.biorxiv.org) is a website where scientists can post preprints of scholarly texts in biology. Users can search and download PDFs in bulk from the preprint server. The text of abstracts are stored as raw text within R, and PDFs can easily be saved and imported for text mining with packages such as 'tm'.

c(person("Edmund", "Hart", role = c("aut","cph"),
email = "edmund.m.hart@gmail.com"), person("Silvia", "Liverani", role = c("aut","cre","cph"), email = "liveranis@gmail.com"))
The bioRxiv preprint server (<https://www.biorxiv.org>) is a website where scientists can post preprints of scholarly texts in biology. Users can search and download PDFs in bulk from the preprint server. The text of abstracts are stored as raw text within R, and PDFs can easily be saved and imported for text mining with packages such as 'tm'.
Edmund Hart [aut, cph],
Silvia Liverani [aut, cre, cph]

From BIOlogical Sequences to MultiDimensional Scaling
Julien Pele with Jean-Michel Becu, Herve Abdi, and Marie
Chabbert
R (>= 2.0), gtools, amap, e1071, ggplot2, cluster
Bios2mds is primarily dedicated to the analysis of
biological sequences by metric MultiDimensional Scaling with
projection of supplementary data. It contains functions for
reading multiple sequence alignment files, calculating distance
matrices, performing metric multidimensional scaling and
visualizing results.