Chris Sander aka cscbio

@sandercbio

Do science that is predictive and use it to improve lives.

Vrijeme pridruživanja: ožujak 2009.

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  1. 4. velj

    Majority won. Covered wide range of applications of Evolutionary Couplings and new approach to protein design. And team now also reading

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  2. 4. velj

    And more to come in the multi-institutional cBioPortal collaboration.

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  3. 24. sij

    Where is the active shared website with expert-sourced research on emerging viruses?

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  4. 17. sij
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  5. proslijedio/la je Tweet
    17. sij

    Want to do research in math-/comp-bio ? We are looking for a research assistant. Help us unravel the interplay of wound healing and inflammation! If you have computational & analytical skills and interest in modelling biology, apply here:

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  6. 17. sij
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  7. proslijedio/la je Tweet

    The Sander lab developed a new technology using evolution in the lab to find molecular interactions and determine protein 3D structure: . This may help scientists understand how changes in proteins affect disease progression and drug resistance.

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  8. PDF of “3D protein structure from experimental evolution” at - happy to collaborate to apply to your proteins - ideally those for which proliferation assays are available.

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  9. proslijedio/la je Tweet
    25. ruj 2019.

    I’m increasingly convinced that twitter is a good forum for ultimately collaborative endeavours (eg science) but a bad forum for contentious endeavours (eg politics) where the echo-chamber screaming at each in tribal ways provides little insight

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  10. Great to see cell free DNA advancing to clinical utility. We are happy to continue development of the cBioPortal for Cancer Genomics in close collaboration between Memorial Cancer Center and Dana-Farber @dfcidatasciences Cancer Institute.

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    11. srp 2019.

    We, past and current members of the Hyman lab, are reeling from the sudden and tragic loss of Suzanne Eaton. She was a wonderful person who lives on in our hearts. In this difficult time, we stand together with her family and colleagues.

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    21. lip 2019.

    Great news that has announced they will fund 38 Seed Networks for the , enabling these projects on individual tissues and organs.

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  13. Uses evolutionary coupling analysis to extract interaction constraints and gets correct protein folds - just from sequences evolved in the lab

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    13. lip 2019.

    Finally presenting our work on finding residue-residue interactions in proteins from sequencing data of experimentally evolved populations; and using this information to compute three dimensional protein structure.

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    13. lip 2019.

    Protein structure from experimental evolution

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    23. svi 2019.

    If you think articles should be valued for their content rather than the journals they were published in, use the citation form "Author(s), year, DOI" on slides and omit the journal name.

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    23. svi 2019.

    Aaron Kollasch explains the incredible recent progress in NLP, from RNN to dilated CNN to Transformer. shares how her lab is applying these alignment-free models to biological sequence data for protein and antibody design. MIA

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    5. svi 2019.

    This preprint has unfortunately fallen into a classic pitfall for machine-learning experts entering molecular biology: since genes/proteins are evolutionarily related, random partitioning does not give you an independent test set. See discussion

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  19. proslijedio/la je Tweet
    3. tra 2019.

    Beta version of our new quick search for cBioPortal is now up. Enables you to more easily jump to your favorite gene or study of interest. Let us know what you think!

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  20. Chris Sander changed his handle from @cscbio to

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