Lyndsay Kerr
@_lyndsay_94
Mathematican and Chancellor's Fellow at University of Strathclyde. Interested in using mathematical modelling and bioinformatics to understand DNA methylation.
ID: 186897821
04-09-2010 18:12:25
896 Tweet
128 Followers
230 Following
Has anyone tried #nanopore 1Dsquared to sequence both strands of DNA (or an alternative approach)? We're interested in doing this but can find very little information. Perhaps one for Matt Loose Jared Simpson ION_BRU Oxford Nanopore.
Another first for the lab. Our first mathematical modelling study! With Ramon Grima, Lyndsay Kerr demonstrates that mean field models can be used for megabase-scale DNA methylation patterns that are not tractable by current approaches: biorxiv.org/content/10.110…
Very happy to say that Lyndsay Kerr's study demonstrating that mean field approaches can model megabase-scale DNA methylation patterns that are not tractable by current approaches is now out. Excellent collaboration with Ramon Grima. royalsocietypublishing.org/doi/10.1098/rs…
Feast of science yesterday with Institute of Genetics and Cancer Cross-disciplinary Fellowships (XDF) Programme Annual Symposium bringing together XDF researchers from Edinburgh Cancer Research , MRC_HGU , Centre for Genomic and Experimental Medicine , @InfAtEd and other parts of The University of Edinburgh. Fellows supported by Medical Research Council , Cancer Research UK & The University of Edinburgh!
New pre-print from Lyndsay Kerr collaborating with Ramon Grima 😀. Analysing single-molecule #Nanopore, we found intra-molecular heterogeneity in DNA methylation patterns at heterochromatin. You can read more here: biorxiv.org/content/10.110…, but here is a quick summary: 🧵 1/8
Our last talk of the data is from Lyndsay Kerr, who is using nanopore to look at methylation pattern variation across single DNA molecules
Unfortunately I can't make it down to #NanoporeConf this week 😞 However Lyndsay Kerr will talk tomorrow about our work with Ramon Grima 🥳Tune in to hear about single-molecule DNA methylation patterns genome wide. More detail here: doi.org/10.1101/2022.1…
Check out our latest Mathematician of the Month (MotM), Lyndsay Kerr, over on our blog (piscopia.co.uk/2023/09/01/mat…). MotM is an initiative to celebrate women & non-binary researchers at all career stages! #womeninmaths
New paper: Genome-wide single-molecule analysis of long-read DNA methylation reveals heterogeneous patterns at heterochromatin that reflect nucleosome organisation MRC_HGU Edinburgh Cancer Research Institute of Genetics and Cancer Biological Sciences | University of Edinburgh Lyndsay Kerr Ioannis Kafetzopoulos Ramon Grima Duncan Sproul doi.org/10.1371/journa…
Help us understand how DNA methylation patterns are regulated at the single-molecule level using Oxford Nanopore sequencing. PhD available with myself and Ramon Grima MRC_HGU Institute of Genetics and Cancer Biological Sciences | University of Edinburgh, deadline 27th Nov. ed.ac.uk/mrc-human-gene… #epigenetics #Bioinformatics Please RT
Others have highlighted this while I was off with a broken collar bone, but the paper version of this is out in PLOS Genetics 🎉: journals.plos.org/plosgenetics/a… You can read more on the previous thread but here is a summary of the main updates.🧵 1/10
Congratulations to MathsStats@Strath alumna Debbie Kerr on her inclusion on Holyrood Connect’s Top 10 Women in Tech. Debbie is a data scientist at investment manager M&G plc Well done Debbie 🎉🎉
I’m excited to advertise a fully-funded PhD studentship! To find out how you could use maths and stats to understand DNA processes click here: strath.ac.uk/studywithus/po… MathsStats@Strath.
The paper version of our DNMT3B study is now out in EMBO Reports 🥳: embopress.org/doi/full/10.10… You can read more on the previous thread but here is a summary of the main updates. This is one for Southern blot fans! 🧵1/9
#PhD opportunity: fully funded PhD position at the University of Edinburgh on 'Modelling stochastic emergence of antibiotic resistance in bacterial populations' with Helen Alexander and myself. For more info on the project see here: biology.ed.ac.uk/alexander/join or get in touch!