Bioinformatics
Central to pioneering biological explorations, our Bioinformatics Facility stands as a nexus between biology and data science. Here, we use advanced computational methodologies to decode intricate biological mechanisms. Our offerings in bioinformatics infrastructure, data analysis workflows, interpretation, and visualization are instrumental in assisting researchers traverse the extensive realms of genomic, epigenomic, and transcriptomic data.
To handle the emerging NGS data, a wide range of open-source tools are now available. These tools help preprocess raw NGS data, perform quality checks, and normalise datasets to reduce biases. Additionally, they aid in identifying statistically significant patterns, integrating data from different sources, and visualising complex biological networks. By combining these analytical capabilities with advanced statistical methods, researchers can make informed decisions, validate hypotheses, and contribute meaningfully to their respective fields.
Integrating existing bioinformatics and machine learning tools, as well as developing new methods, requires a solid understanding of both biology and informatics. Effective communication across multiple disciplines is crucial in bridging the gap between these domains. Bioinformatics has emerged as a critical field that plays this bridging role.
Established in early 2023, our bioinformatics facility works closely with researchers to ensure early identification of potential opportunities or needs for integrating informatics solutions and potential errors in data processing. In addition, we offer a robust bioinformatics infrastructure designed to optimise the data processing workflow. By streamlining and automating various tasks, this infrastructure minimises the risk of errors and improves data management efficiency.
Moreover, our bioinformatics infrastructure serves as the foundation for maintaining a comprehensive and easily searchable database. This database houses a vast collection of in-house and public datasets, enabling researchers to explore and test hypotheses, as well as compare with existing data and perform cohort analysis.
Our team specialises in various sequencing applications, including:
- Expression profiling through bulk RNA-seq
- Single cell analysis using single-cell and single-nuclei sequencing
- Spatial transcriptomics
- Mutation profiling and copy number analysis via WES
- Epigenome profiling through ChIP-seq, ATAC-seq, Hi-ChIP, PRO-seq, CUT&RUN, and CUT&Tag techniques
Equipment
Illumina NextSeq2000 Sequencer
Illumina Dragen server
HPC cloud solutions
HPE on-premise server
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