Xenstats is a professional bioinformatic and analytic service for private companies and academic research groups. Xenstats performs analyses for science, food and agribusiness, pharmaceutical and biotechnology industries, breeders, forensic medicine, and for any companies or projects that require advanced calculations.
We perform advanced statistical analysis in our own scripts in the R system, which has been one of the most commonly used programming languages for the data analysis and visualization in recent years. We specialize also in business analysis in Excel. We deliver results in the format that you prefer, eg. Excel tables and jpg or pdf files with graphics. We specialize in complex statistical data analysis, in particular for the next generation sequencing (NGS) data, chromatographic data and data integration with phenotypic traits etc.. We provide comprehensive solutions in terms of planning, conducting research, statistical analysis and the interpretation of results.
CEO & Founder
Doctor of mathematics, scientist, lecturer. She obtained the postdoctoral degree presenting the scientific achievement entitled: "Chemometry in plant metabolomics”. She wrote her doctorate under the direction of world-class mathematics prof. Charles Johnson (William & Mary, Willamsburg, USA). She completed an internship at The James Hutton Institute, Dundee, United Kingdom. She gained many years of experience in data analysis working as an assistant professor at the Institute of Plant Genetics of the Polish Academy of Sciences in Poznań and the Institute of Bioorganic Chemistry of the Polish Academy of Sciences in Poznań. From 2016, an assistant professor at the Department of Mathematical Methods and Statistical University of Life Sciences in Poznań. Special Issue Editor in „Separations: Chemometrics in metabolomics and proteomics”. Author of scientific publications in the field of mathematics, statistical analysis, big data analysis, gene expression level analysis, correlation network analysis, statistical analysis of metabolomic, proteomic, phenotypic and lipid data in plants, repeatedly using R and supercomputing. Participant of numerous domestic and foreign conferences, performer of many scientific projects.