MetaPath is a tool for the analysis of metabolic pathways and associated visualization of experimental data. Built on the MetaCyc database, it provides an interactive map in which multiple pathways can be simultaneously visualized. Multiple annotations from the MetaCyc database are available, including synonyms, associated reactions and pathways, and database unification links. Metabolomics change data can be imported via simple CSV formats for visualization on targeted pathways. Pathways can be mined and removed algorithmically to identify key regulated pathways within a given dataset, providing a simper route to metabolic functions.
Salad (short for Letter Salad) is an efficient and flexible implementation of the well-known anomaly detection method Anagram by Wang et al. (RAID 2006). Salad is based on n-gram models, that is, data is represented as all of its substrings of length n. During training these n-grams are stored in a Bloom filter. This enables the detector to represent a large number of n-grams in little memory and still being able to efficiently access the data. Salad extends Anagram by allowing various n-gram types, a 2-class version of the detector for classification, and various model analysis modes.