About Laboratory

Our aim is to provide research groups with an access to the power of modern computational, bioinformatic and statistical methods, in particular utilising machine learning and big data analysis. We also support research automatisation and implementing the open science paradigm, as well as build dedicated solutions for nonstandard challanges.

Services

• We analyse data from high-throughput experiments: proteomic, transcriptomic (including single-cell) and genetic, also in multi-omics fusion and with machine learning methods. We can also help with designing such an experiment.
• We provide automatic analysis of signals (including physiological and behavioural) and images (microscopic in particular). We can work with huge datasets and offer dedicated solutions.
• We will run ontological queries and re-analyses, as well as help you with seeking biological interpretation of your results.
• We make professional plots and visualisations of data and analysis results, also interactive.
• We offer solutions supporting data collection, collation and integration.
• We are open to any non-standard problems and developing novel, dedicated analysis methods.

In principle, we work in a fully reproducible manner and base on open source software — our results are provided together with a repository of scripts capable of regenerating them from raw data. This follows the best standards of open science.

We have access to the in-house computational resources of the Institute in the Biopixel centre, in case of huge tasks we will help in acquiring external computational grants (for purely scientific projects) or help with optimal use of commercially available resources. We will also help with managing the research data.