GeMoNe (the GEnomic of MyelOid NEoplasms) is a data portal that integrates, collects and analyzes heterogeneous molecular data (e.g. somatic mutations and gene expression) coming from high-throughput experiments performed on biological samples of different Myeloid Neoplasms.

M.Cazzola, Haematologica, 2010

M.Gerstung, Nature, 2015

Data

Data are modeled on two main concepts: Sample Cohorts and Genomic Signatures. Once defined, the user can freely combine them by one of the available analytical tools (e.g. Kaplan-Meier survival analysis).

Sample Cohort

Each sample in the database belongs to a specific project (e.g. TCGA). User creates a cohort by pooling samples together. Filters allow to select samples basing on disease, project, age, ethnicity etc.
Note: for each sample, a certain set (and type) of genomic data is available. Users should be aware on how to correctly combine samples (especially those from different projects) in order to obtain meaningful results.

Genomic Signature

A genomic signature consists in one or more genomic region of interests (e.g. Genes and Pathways), characterized by one or more molecular data type (e.g. somatic mutations and mRNA expression).

Analysis

Kaplan-Meier Survival Analysis

Given a genomic signature, a cohort is divided in two groups: samples with at least one genomic event and those with no genomic events within the signature. An event can be a somatic mutation, an up-regulated mRNA or a particular CNV. Users can thus compare survival curves of different sample groups (or eventually the same) , characterized by a particular genomic signature consisting of heterogeneus molecular data.

M.G. Della Porta, Leukemia, 2015