MDS Bio - Analytics Private Limited

- Relative quantification of target gene versus reference gene using robust

multivariate statistical tools.

Statistical analysis of prospective and retrospective clinical studies.

The analysis support spans over sample size computation, design of study, data analysis and use of appropriate statistical tools followed by interpretation of results.

Statistical tool kit involves – Statistical hypothesis testing using appropriate parametric / non-parametric tests, ANOVA, ANCOVA, MANOVA, Multiple regression analysis, Logistic regression analysis, Survival analysis, Repeated measures analysis, Cluster analysis, Discriminant analysis etc.

Sequence data analysis (Basic and Advanced)

- Phylogenetic analysis

- Application of pattern recognition tools on sequence data to derive

signatures.

- New algorithm development, statistical analysis of sequence data generated

on varied platforms like 454,

Solexa and SOLiD.

- Assembly of Next-Gen sequence data, annotation and classification of

sequence data.

- Differential expression analysis based on copy number data.

- Meta-genome data management and analysis.

Statistical analysis of microarray data generated on any of the platforms like

Agilent, Affymetrics, Illumina etc.

- Data preprocessing and identification of differentially expressed genes based

on robust statistical techniques.

- Classification of differentially expressed genes using multivariate techniques.

- Gene ontology and Pathway analysis of differentially expressed genes.

- Gene interaction network analysis.