Img2net is a software to automatedly analyze such structures by reconstructing the underlying network, computing relevant network properties, and statistically comparing networks of different types or under different conditions.
gespeR estimates gene-specific phenotypes from off-target confounded RNAi screens. Observed phenotype for a specfic siRNA is modeled as a linear combination of gene-specific phenotypes from the on- and all off-target genes.
CIPHER, which stands for Correlating interactome and phenome networks to predict disease genes, is a computational framework we proposed to prioritize human disease genes. It was one of the first studies to explore interactome-phenome wide gene-disease relationships, and generated the first comprehensive genetic landscape of human disease,connecting 5080 human disease phenotypes with 14433 human genes.
PlasmidTron utilizes the phenotypic data normally available in bacterial population studies, such as antibiograms, virulence factors, or geographical information, to identify traits that are likely to be present on DNA that can randomly reassort across defined bacterial populations. It is also possible to use this methodology to associate unknown genes/sequences (e.g. plasmid backbones) with a specific molecular signature or marker (e.g. resistance gene presence or absence) using PlasmidTron. PlasmidTron uses a k-mer-based approach to identify reads associated with a phylogenetically unlinked phenotype.
GIPS software considers a range of experimental and analysis choices in sequencing-based forward genetics studies within an integrated probabilistic framework, which enables direct gene cloning from the sequencing of several unrelated mutants of the same phenotype without the need to create segregation populations.