Analyse de données de cytométrie en flux ou de masse

AltraBio offre un service complet pour l'analyse de données de cytométrie en flux et de masse depuis les étapes de gating jusqu'aux analyses croisées. Ce service permet d'optimiser la valeu...

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Analyse de données omiques

Time-proven and cutting-edge data analysis methodologies. A wide variety of large-scale biological data sets ranging from microarray data through to clinical trial information, AltraBio performs extensive quality control to identify potential outliers and check for consistency with the design, thus ensuring the relevance and quality of downstream analyses. AltraBio then provides the complete range of preprocessing and statistical analysis services relevant to all current microarray technologies (identification of differentially expressed genes, SNP associations, detection of ChIP on chip enriched regions, multiple testing correction, etc.) or clinical trials (power estimation, survival estimation, log rank test, Cox model, complex statistical models, etc.).

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Création et mise en oeuvre d'outils bio-informatiques

Characterization of patient populations is of key importance for evaluation of treatment response as well as for establishment of novel diagnostic and predictive criteria. To complement the established methods of supervised and unsupervised classification, AltraBio has developed novel semi-supervised approaches that relax the strong constraints usually imposed on the populations (e.g. healthy/diseased) and allow for detection of additional, previously unidentified, subgroups where appropriate. AltraBio can apply this approach to identify panels of biomarker candidates characterizing such subpopulations and to identify new diagnostic and predictive patient classes that are distinct from previously established categories and are based on understanding of the molecular mechanisms of pathology or drug response.

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Interprétation biologique des résultats de recherche

Identification of relevant covariates is only one step of a successful biological research experiment, especially in the fields of differential gene expression or SNP association studies where hundreds or thousands of these covariates can be significant. Using the integrative, biological pathway-oriented approach, AltraBio analysts go beyond the initial analysis output and interpret these results in the context of the biological problem the experiment addresses. The final result of AltraBio's work is a comprehensive report summarizing the experimental observations, discussing the biological mechanisms underlying the observed effects and, where appropriate, suggesting follow-up experiments to further elaborate on the results.

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