The {rhdf5} #rstats 📦 “provides an interface between HDF5 and R. HDF5's main features are the ability to store and access very large and/or complex datasets and a wide variety of metadata on [disk] through a completely portable file format.” Funded by the German Network for Bioinformatics Infrastructure & the Chan Zuckerberg Initiative. By Mike Smith & others
PS 1Gotta admit that the point about the object systems in R is somewhat spot on
PS 2 #php gets a dishonorable mention
PS3 I will continue to find ways to continue using all 4 of the aforementioned languages, as they are all performant and deliver in complementary ways.
@mjgardner@Edwardsmoon@BobOHara@bduncan It is a step backwards, likely explained by people migrating to #bioconductor (in #rstats) or #biopython and wanting to break from clean from #perl. However neither R nor python provided the facilities that perl has to deal with features in text and flat text files.
Our Social Media Working Group is evaluating Bioconductor presence on Twitter/X. We value your opinion! Please complete our short survey (< 5 mins) by Tuesday, 3rd October to help shape our communication strategies.
Bioinformaticians: If you see an R package in bioinformatics that is in CRAN instead of Bioconductor, does this raise a bit of suspicion? Why or why not? #bioconductor#bioinformatics#rstats
I'm a computational biologist/bioinformatician, professor at UCLouvain in Brussels. I work with various types of omics data, with a special interest in #MassSpectrometry and #proteomics. I (co-)develop and maintain several #rstats and #Bioconductor packages. In addition to R, I use #emacs quite a bit, and run.