Cancer at Oxford
29 September 2022
Barnes Boccellato Schuster-Böckler Song Van den Eynde
Read about how Oxford's experts - including Ludwig Oxford scientists - are leading the way in cancer prevention, detection and treatment as part of the University's Cancer at Oxford series
Ludwig Oxford retreat 2022 – a recap
15 July 2022
Barnes Boccellato Byrne Constantinescu De Val Goding Kriaucionis Lu Mehdipour Moura Alves Ratcliffe Schuster-Böckler Shi Song Van den Eynde
On 13-14th June 2022, the Oxford Branch of the Ludwig Institute for Cancer Research held their annual retreat to discuss key scientific advances within the Branch and beyond.
Two new Ludwig Oxford associate professors
9 June 2022
Congratulations to Benjamin Schuster-Böckler and Chunxiao Song who have been awarded Associate Professorships.
Turing Fellowship for Ludwig Oxford’s Benjamin Schuster-Böckler
30 September 2021
Dr Benjamin Schuster-Böckler will join the Turing network for 2021-2022 to further his research in cancer big data.
Developing a system to simultaneously detect genetic and epigenetic information
2 March 2021
Dr Benjamin Schuster-Böckler wins funding to develop algorithms that can identify both genetic variation and DNA methylation from the same sequencing data, with applications in biomedical research and detection of diseases such as cancer.
New algorithm for single-cell RNA-seq analysis
22 March 2018
The sequencing of RNA from individual cells is an increasingly used, powerful method for studying cellular heterogeneity. However, the analysis of single-cell RNA-seq is limited due to the high technical variability between experiments and the inability to perform true technical replicates on the same cell. David Severson and colleagues from the labs of Benjamin Schuster-Böckler and Xin Lu have developed a new algorithm, BEARscc, published in Nature Communications, which uses simulation to improve the biological interpretation of single-cell RNA-seq experiments.