1 in 2 people will get cancer in their lifetime. Our CCG Lab at UCL Cancer Institute'll run Cancer Research UK Muddy Race this May to highlight the importance of funding cancer research Science and Innovation at Cancer Research UK and improving patient outcomes. Please support us if you can! #RaceforLife 👉fundraise.cancerresearchuk.org/team/ccg-lab

As a proud Science and Innovation at Cancer Research UK funded lab Computational Cancer Genomics (CCG) Research Group, we ran the Cancer Research UK Pretty Muddy #RaceforLife ! See before vs after 👇 Couldn't be prouder of our wonderful team! Follow their journeys: Sonya Hessey Jeanette Kittel Rija Zaidi Abi Bunkum Lucrezia Patruno Olivia Lucas

🚨 Open PhD at Computational Cancer Genomics (CCG) Research Group joint with @Parrinello_Lab Requires bioinfo expertise and interest in participating in experiments Exciting project studying the evolution and timing of cancer invasion in GBM models and human tissues Please contact us for questions twtr.to/oMrbq

Reconstructing single-cell phylogenies is challenging, and we currently rely on estimates of uniform error rates. Can we do better? Hugely talented PhD student Rija Zaidi from our Computational Cancer Genomics (CCG) Research Group will present new developments on this today at 5.40 at #HiTseq #ISMB2024, join her talk!

If you are at HiTSeq 2024 and interested in single-cell tumour phylogenies, please join the last #HiTSeq talk at 5.40pm of our phenomenal Rija Zaidi ! #HiTSeq #ISMB2024 #ISMB24 #ISMB 👇

If you are at EvolCompGen and interested in copy-number cancer evolution, please join today #EvolComp for another contribution from Computational Cancer Genomics (CCG) Research Group of our fantastic Abi Bunkum at 3pm! #EvolComp #ISMB2024 #ISMB24 #ISMB 👇

I'm so hugely proud of Rija Zaidi and Abi Bunkum Computational Cancer Genomics (CCG) Research Group for being awarded 2 #ISMB2024 ISCB News *Best Talks Awards* presenting at HiTSeq 2024 and EvolCompGen, resp! They put so much talent, effort, and passion into their work, and I'm so grateful to see them recognized. Well deserved!

So happy and proud of our team members Rija Zaidi and Abi Bunkum for their Best Talk Awards at #ISMB2024!

Fantastic to attend #ISMB2024 in Montréal with Abi Bunkum and win Best Talk! Huge thank you to HiTSeq 2024 Simone Zaccaria Science and Innovation at Cancer Research UK UCL Birkbeck MRC DTP

🚨So proud to present the first study from our Computational Cancer Genomics (CCG) Research Group group together with Charles Swanton Nnennaya Kanu and led by Olivia Lucas with key collaboration Sophie Ward and fundamental support Rija Zaidi Abi Bunkum & many others Out in Nature Genetics 👇 doi.org/10.1038/s41588… 🧵👇

Researchers at the Crick and @UCL have developed an algorithm that can identify which cell populations within a tumour are growing the fastest. The findings are part of the Cancer Research UK-funded TRACERx study and were overseen by Charles Swanton and Simone Zaccaria crick.ac.uk/news-and-repor…

A pleasure to collaborate on this work with the outstanding Simone Zaccaria, Olivia Lucas and many others. SPRINTER is an outstanding and diligently constructed tool which I’m sure will be useful for many of other research projects.

Our paper is out! We introduce the SPRINTER algorithm to infer clone proliferation rates from scDNAseq data 🧬 Great to work with the excellent Olivia Lucas, Sophie Ward, Abi Bunkum, Alex Frankell, Mark S. Hill, Nnennaya Kanu, Charles Swanton, Simone Zaccaria & others!

What an absolute pleasure to be collaborating with such an incredibly talented team!! SPRINTER out today in Nature Genetics 🧬

#CRUKFunded scientists published a paper in Nature Genetics unveiling the first computational algorithm capable of identifying which cell populations within a tumour drive aggressive growth. SPRINTER is Simone Zaccaria's first output as part of their Career Development Fellowship.

#TumorEvolution reconstruction is heavily influenced by algorithmic & experimental choices—this In the Spotlight commentary by Rija Zaidi & Simone Zaccaria highlights a recent Nature Biotechnology paper by Boutros Lab, Peter Van Loo, Kyle Ellrott, Maxime Tarabichi, et al. bit.ly/3VAMRQs

How much do algorithmic and experimental choices drive the accuracy of reconstructing tumour evolution? In this Cancer Research commentary, Simone Zaccaria and I discuss a recent Nature Biotechnology benchmarking paper exploring this question:

🚨Very proud of this commentary led by Rija Zaidi reasoning on the method and experimental design impact on cancer evolution understanding, motivated by the outstanding work of Boutros Lab, Peter Van Loo, Kyle Ellrott et al Orig. work 👉 doi.org/10.1038/s41587… Our Commentary 👇

1 in 2 people will get cancer in their lifetime. Our Computational Cancer Genomics (CCG) Research Group 'll still run Cancer Research UK Muddy Race also this May to highlight the importance of funding cancer research Science and Innovation at Cancer Research UK and improving patient outcomes Please support us if you can! #RaceforLife 👉 fundraise.cancerresearchuk.org/team/computati…

Huge congratulations Lucrezia!