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dposada February 7, 2022February 23, 2022

Understanding SARS-CoV-2 transmission

Together with colleagues at a local hospital, here we show that is not easy to figure out with just genomics who infected whom with SARS-CoV-2

Limited Genomic Reconstruction of SARS-CoV-2 Transmission History Within Local Epidemiological

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dposada - 13 posts papers

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CellPhy paper
mtDNA single-cell paper

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SIEVE: joint inference of single‑nucleotide
variants and cell phylogeny from single‑cell
DNA sequencing data

A very nice collaboration with the Szczurek and Beerenwinkel labs under the Computational ONcology TRaining Alliance Innovative Training (CONTRA) Network.…

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Genomic characterization of circulating tumor cells

Today out in Genomics! We found substantial differences in the mutational loads of CTC pools obtained using different CTC-capture methods.CTC…

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On the root of eukaryotes

We started this collaboration with the Katz lab and today is finally out!  Using phylogenomics, we propose that the eukaryote…

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Recent Posts

  • SIEVE: joint inference of single‑nucleotide
    variants and cell phylogeny from single‑cell
    DNA sequencing data
    December 2, 2022
  • Genomic characterization of circulating tumor cells October 11, 2022
  • On the root of eukaryotes August 11, 2022
  • Scalable single-cell phylogenies June 28, 2022
  • mini-review on single-cell DNA variant callers June 20, 2022

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    February 2022
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    David Posada Follow

    A computational evolutionary biologist lately interested in cancer evolution.

    dposada_
    dposada_ David Posada @dposada_ ·
    20 Jan

    Very nice opportunity in Crete with the great @AlexisCompBio ! Don't miss it!

    Alexis Stamatakis @AlexisCompBio

    Two PostDoc positions are available in my new, second research group (https://www.biocomp.gr/) in Crete for Computer Scientists, Bioinformaticians, or "programming Biologists"

    To apply follow the links:

    https://www.ics.forth.gr/jobs vacancy ID: ICS-1980

    https://euraxess.ec.europa.eu/jobs/61879

    Reply on Twitter 1616378704476643330 Retweet on Twitter 1616378704476643330 Like on Twitter 1616378704476643330 3 Twitter 1616378704476643330
    Retweet on Twitter David Posada Retweeted
    agraudenzi Alex Graudenzi @agraudenzi ·
    16 Jan

    .@MarcoxaShowlow @bud_mishra @AndreaSottoriva and I are glad to announce the 2023 Como School on #Cancer #Evolution!

    https://csce2023.lakecomoschool.org

    Amazing list of speakers!
    C Cantor @landau_lab @IulianaLaza R Murphy @Pelicci1 @dposada_ @dany9685 @maria_rescigno @ewa_szczurek + more!

    Reply on Twitter 1614951602762256385 Retweet on Twitter 1614951602762256385 16 Like on Twitter 1614951602762256385 33 Twitter 1614951602762256385
    dposada_ David Posada @dposada_ ·
    28 Dec

    Como país, necesitamos que nuestro talento investigador retorne: @IYImeeting. ¿Cómo? 1) figura de investigador con contrato indefinido en el SUG, 2) agencia de investigación gallega pública e independiente, 3) financiación estable del 2+% del PIB gallego. https://www.farodevigo.es/gran-vigo/2022/12/28/jovenes-investigadores-gallegos-diaspora-reclaman-80433690.html

    Reply on Twitter 1608019108607442945 Retweet on Twitter 1608019108607442945 16 Like on Twitter 1608019108607442945 55 Twitter 1608019108607442945
    dposada_ David Posada @dposada_ ·
    16 Dec

    https://www.uvigo.gal/universidade/comunicacion/duvi/vigo-acollera-primeira-vez-xiii-reunion-jovenes-investigadors-extranjero

    Reply on Twitter 1603776218683301888 Retweet on Twitter 1603776218683301888 Like on Twitter 1603776218683301888 1 Twitter 1603776218683301888
    Retweet on Twitter David Posada Retweeted
    ewa_szczurek Ewa Szczurek @ewa_szczurek ·
    8 Dec

    Together with our CONET, which is a model for copy number evolution in cancer, and was also out recently in @GenomeBiology (10.1186/s13059-022-02693-z), SIEVE makes a perfect duet for analyzing single tumor cell DNA-seq! With @senbai_kang and @MagdaMarkowska6 https://twitter.com/GenomeBiology/status/1600872221781663744

    Genome Biology @GenomeBiology

    SIEVE, a single-cell evolution explorer, fro @senbai_kang, @ewa_szczurek & co, uses single-cell DNA sequencing to infer somatic variants and cell phylogeny. It corrects branch lengths for acquisition bias, and can discern single and double mutants
    https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02813-9

    Reply on Twitter 1600977075963596801 Retweet on Twitter 1600977075963596801 7 Like on Twitter 1600977075963596801 14 Twitter 1600977075963596801
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