The facility supports CECAD research groups in their data analysis needs at all stages of a project, starting from experimental design all the way to obtaining publication-ready figures. Importantly, we are closely interacting with the researchers to help them answering their specific scientific questions with the data they have generated.
Our repertoire of computational methods encompasses the latest bioinformatics tools and best-practices, including the community-driven nf-core pipeline suite for standardized data analysis. Additionally, we streamline complex, custom analyses using advanced techniques, including make-like pipelining tools with meta-programming features, to enhance workflow efficiency and expand our support capabilities. To ensure reproducibility of results, we employ modern tools such as containerization and package management software, underscoring our commitment to reliable and verifiable science.
Our team covers a wide spectrum of expertise, offering high-quality consulting throughout the project lifecycle in both computational and biological aspects.
We analyze a broad range of omics data, including transcriptomics, proteomics, and metabolomics, in addition to integrating multiple omics layers. Specializing in a diverse array of NGS data applications, we provide comprehensive support for cutting-edge research, with a particular focus on modern single-cell technologies. Beyond analysis, our services include educational programs, such as R-courses, empowering researchers to independently analyze their data.
The lab operates an in-house software package which trains models of molecular regulatory networks by taking advantage of the large and ever increasing RNA-Seq/ChIP-Seq databases behind the QuickNGS framework. Integration of these networks with additional a-priori knowledge from public databases has established a very powerful tool for downstream analysis of RNA-Seq data from the labs within CECAD.
Looking forward, we aim to further elevate the standardization and efficiency of our bioinformatics workflows and to drive the development of integrative, multi-omics analysis techniques.
Our efforts to harness the latest methodologies for diverse data analysis purposes, our commitment to innovation and high-quality support, and our suite of services are set to empower scientists to transform their data into deep biological understanding. This positions the CECAD Bioinformatics Facility as an indispensable unit in advancing research on aging-associated diseases and beyond.
Dr. Ali Abdallah
Bioinformatics Core Facility
CECAD Research Center
Joseph-Stelzmann-Str. 26
50931 Köln
Dr. Debasish Mukherjee
debasish.mukherjee[at]uk-koeln.de
Bioinformatics Core Facility
CECAD Research Center
Joseph-Stelzmann-Str. 26
50931 Köln