Oriol Pich

@oriol_pich

PhD Student at Barcelona Biomedical Genomics @ IRB, exploring cancer genomics. Studied Medicine at Hospital Clínic, background in Evolutionary Genomics

Vrijeme pridruživanja: prosinac 2012.

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  1. Prikvačeni tweet
    19. stu 2019.

    Yay!! Our study on the mutational footprints that some cancer treatments leave in the DNA is finally out in ! Kudos to all involved , Abel Gonzalez and , and to all ! Find the paper here 👉🏾

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  2. 16. sij

    New single cell clustering method developed by Pepe Bonet from our and Nico Borgsmüller from ! Congrats Pepe! Your resilience and hard work is paying off, amazing work!

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  3. 1. sij

    May the 20/20 help you distinguish between tumor suppressors and oncogenes 🤪

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  4. 29. pro 2019.
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  5. 12. pro 2019.
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  6. 9. pro 2019.

    DNA lesion segregation as a mechanism to generate mutational asymmetries! Hats off to and . Lucky to have seen the story grow! Hopefully more to come from the LCE consortium D.Odom . Sarah's thread here👇🏾

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  7. proslijedio/la je Tweet
    8. pro 2019.

    Pervasive lesion segregation shapes cancer genome evolution DNA damage that results in mutations segregates through multiple cell cycles generating genetic diversity. Impacts cancer evolution and treatment.

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  8. 2. pro 2019.

    Check Fran's work, supervised by and Abel Gonzalez-Perez (we want you in Twitter 🤪) from our lab! Expect a tweetorial soon 😁 Congrats to you and to all others involved !! Link here 👉🏾

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  9. proslijedio/la je Tweet
    2. pro 2019.

    A fantastic day of science, talks, and discussions at the Somatic Evolution and Tumour Microenvironment Symposium . And a great audience to get feedback on our work and Duncan Odom.

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  10. proslijedio/la je Tweet
    22. stu 2019.

    Want to learn mutational signatures jointly based on mutation types + genomic activity patterns? My student has developed TensorSignatures to better characterise and localise mutational processes. 1/5

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  11. proslijedio/la je Tweet
    22. stu 2019.

    Computational postdoc position at the interface of network biology and cancer genomics in my lab in Milan : Please RT or share with interested candidates

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  12. proslijedio/la je Tweet

    A very insightful study on the interplay between oncologic therapy exposure, mechanisms of DNA repair and mutation acquisition. The implications for IO could also be significant. Congratulations to and team for the amazing work.

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  13. proslijedio/la je Tweet

    🧬 Check out this amazing piece of work published in “The mutational footprints of cancer therapies” by Pich et al. 💊 Link:

    , , i još njih 6
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  14. proslijedio/la je Tweet
    18. stu 2019.

    Our paper on “The Mutational Footprints of Cancer Therapies” is out in .

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  15. 19. stu 2019.

    Molt content del ressò que ha tingut el nostre article sobre l’empremta de les quimioteràpies a l’ADN a diferents mitjans com entre d’altres! La meva àvia està que no hi cap d’emoció😄 L’article el podeu trobar aquí

    , , i još njih 2
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  16. proslijedio/la je Tweet
    6. stu 2019.

    I will be sharing our work (with , , Abel Gonzalez-Perez and ) about point mutations under positive selection in poster #98.

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  17. 5. stu 2019.

    This tool has been developed by the amazing Jordi Deu-Pons, and myself at , and it has been recently used in our manuscript “The mutational footprints in cancer therapies”. Hope it is useful to the community! 6/6

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  18. 5. stu 2019.

    The package also includes utils to help you format the input data from your mutation files in a really easy way. 5/n

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  19. 5. stu 2019.

    The extracted signatures are compared to COSMIC signatures (WGS and WEX), and their mutational spectra are plotted. Finally, it clusters the samples based on the relative exposure of the signatures. 4/n

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  20. 5. stu 2019.

    Deciding the most consistent number of active signatures is not a trivial task. Our package generates a plot comprising two performance statistics to help you make this decision. 3/n

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