Research and postings on the latest in bioinformatic analysis software that's out there/published and open source. Let's not re-invent the wheel. Disclaimer: I do not promote one software over the next, you'll have to evaluate software on your own.
(This article was first published on joy of data » R, and kindly contributed to R-bloggers) Agglomerative hierarchical clustering is a simple, intuitive and well-understood method for clustering data points.
(This article was first published on Mad (Data) Scientist, and kindly contributed to R-bloggers) I mentioned last week that I would be putting together a package, based in part on my posts on Snowdoop.
Background: Next generation sequencing produces base calls with low quality scores that can affect the accuracy of identifying simple nucleotide variation calls, including single nucleotide polymorphisms and small insertions and deletions.
Background: With the ever increasing use of computational models in the biosciences, the need to share models and reproduce the results of published studies efficiently and easily is becoming more important.