Welcome
Ryan is a Ph.D. candidate studying translational human genomics in the Bioinformatics and Integrative Genomics program at Harvard Medical School. He is supported by an award from the Graduate Research Fellowship Program (GRFP) through the National Science Foundation (NSF).
Click here to read more about Ryan's research interests and publications, or to see his CV.
Structure Meets Function (Blog)
@ryanlcollins13
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Trainee Paper Spotlight CoLab begins in ~20 min in the Exhibit Hall Theatre 1 - Come see @gaiaandreoletti @RyanLCollins13 and @JulieCVDW share their amazing work!! #ASHG18 #ASHGtrainee
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@HHeyne Possibly, although my take was that trinucleotide context alone (maybe even in coding regions? Not sure on this) shows some long-range biases in mut rates, which are captured by adding other covariates. Could imply coding mut rates may show local inflation/deflation
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@patrick_j_short @EugenomeUK Thanks! Would be great to connect while we’re both in town. Have been wanting to pick your brain about mutation rates for a while, if you’re game
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@HHeyne Agreed! He showed some of this in his talk — eg inflation of baseline mutation rate on chr8 p-ter. Looks like his additional covariates help quite a bit for large-scale (>100kb) biases in mut rate, but at small scale (<1kb), simple trinucleotide context is still most impt factor