Computational scientist.

Joined March 2017
Photos and videos
Daniel Kunz retweeted
From @davisjmcc, @YuanhuaHuang, @OliverStegle and Teichmann lab: Cardelino leverages variant information from single-cell RNA-seq data for inferring clonal tree configuration and mapping cells to their clone of origin. nature.com/articles/s41592-0…
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Daniel Kunz retweeted
For the first time, the highly dynamic cellular landscape of the human thymus has been charted across a lifespan, according to a new Science report, which may be useful in developing future T-cell therapeutic strategies. ($) fcld.ly/kc9mg52
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Daniel Kunz retweeted
Our work on T-cell lineage commitment and TCR recombination in the native thymic microenvironment across human lifespan is online! Fantastic team led by @park_jongeun, Sarah Teichmann, @Muzz_Haniffa and @taghon_t science.sciencemag.org/conte…

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Daniel Kunz retweeted
18 Mar 2019
Registration is open for #QG19 on 10th June 2019 at the Francis Crick Institute, London! See website for full details: quantitative-genomics.com/
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Daniel Kunz retweeted
Cardelino: Integrating whole exomes and single-cell transcriptomes to reveal phenotypic impact of somatic variants biorxiv.org/cgi/content/shor… #bioRxiv

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Daniel Kunz retweeted
Fast Batch Alignment of Single Cell Transcriptomes Unifies Multiple Mouse Cell Atlases into an Integrated Landscape biorxiv.org/cgi/content/shor… #bioRxiv

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Daniel Kunz retweeted
Interested in new insights into alternative splicing at the single-cell level and how DNA methylation plays a so far underappreciated role? Take a look at our new bioRxiv preprint: biorxiv.org/content/early/20… Great collaboration with @mjbonder @OliverStegle @davisjmcc @StatGenomics

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Daniel Kunz retweeted
SCI{Phi}: Single-cell mutation identification via phylogenetic inference biorxiv.org/cgi/content/shor… #bioRxiv

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Daniel Kunz retweeted
Our methods (with @OliverStegle ) do detect spatially variable genes and perform expression based histology are now published in Nature Methods! nature.com/articles/nmeth.46…
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Well folks, this is how benchmarks are done. Wow. x.com/biorxiv_bioinfo/status…

A comparison of single-cell trajectory inference methods: towards more accurate and robust tools biorxiv.org/cgi/content/shor… #biorxiv_bioinfo
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Daniel Kunz retweeted
Our manuscript is now out in Nature Physics: Universal scaling behaviour of clone dynamics during tissue growth. Highlights emergence of core concepts of statistical physics in an unexpected context and implications for stem cell biology. nature.com/articles/s41567-0…
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Daniel Kunz retweeted
21 Feb 2018
Posters, short talks and long talks open for Masters, PhD students and postdocs --> quantitative-genomics.com

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Daniel Kunz retweeted
We have updated our SpatialDE paper - biorxiv.org/content/early/20…, largest addition is "automatic expression histology" which finds patterns defined by co-expressing genes with a GP mixture model.
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Daniel Kunz retweeted
1/8 Our latest work on the role of genetic heterogeneity in clonal evolution is published! @sangerinstitute @Cambridge_Uni @ircaninstitute x.com/CellReports/status/920…

“The arrival of the fittest”: how new variation is affected by clonality in evolution cell.com/cell-reports/fullte…
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Daniel Kunz retweeted
Letter from Crick and Watson to Erwin Schrodinger dated 12 Aug 1953 re: What is Life? & the impact on their careers
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