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Multivariate analysis of MS/MS data using ML techniques
Program described in the paper: MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm, 2016.
By Fabio R. Cerqueira; Adilson M. Ricardo; Alcione P. Oliveira; Armin Graber; Christian Baumgartner.
Bioluminescence is a java library for facilitating de novo genome assembly in the context of reads sampled from a single highly-polymorphic diploid individual. Bioluminescence implements a novel algorithm which uses an artificial neural network to classify contigs in a genome assembly as haplotype-specific or not-haplotype-specific. It then uses this information to partition the original input read set into two subsets, each of which has been enriched for one of the haplotypes. Initial results...