Sean is a bioinformatician in the Rahbari group where he integrates multi-omic single-cell data to study somatic mutations and cellular heterogeneity in healthy and cancer cells.
Connect with me on Twitter
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Proud to announce the 2022 edition of our NGS course at @EBItraining! Excited to work with co-organizers @Cascade21 @R_Rahbari and a number of amazing trainers including @CUSolomon @kayeshac1 @laidlawsean and more! Spread the word please! https://twitter.com/EBItraining/status/1524313351526002689
👀 Are you looking for a guide to the technology, analysis workflows, tools, and resources for #NGS data analysis?
Our virtual course, '#Genome #bioinformatics: #resequencing and variant calling', will provide just that!
🔗 Apply now: https://www.ebi.ac.uk/training/events/genome-bioinformatics-resequencing-and-variant-calling-2022/
#NatMetabPicks | In @Nature, @R_Rahbari & M Stratton (@sangerinstitute) compare the mutational landscape in 29 cell types from the soma & germline from different tissues of the same individuals. 3 other recent @Nature papers explore similar topics:
The mutational landscape of human somatic and...
Nature - The authors report the mutational landscape of 29 cell types from microdissected biopsies from 19 organs ...
www.nature.com
Great to see our collaborative work @MariaXdyia @whatchamacaulay @MaxGalder @seanlaidlaw & colleagues on #clonalorigin of conventional #Tcells & induced regulatory Tcells in #breastcancer patients is finally out!@NatureComms https://www.nature.com/articles/s41467-021-21297-y?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+ncomms%2Frss%2Fcurrent+%28Nature+Communications+-+current%29