CAT PETR: A Graphical User Interface for Differential Analysis of ProteinPhosphorylation Data

RiboXYZ: a comprehensive database for visualizing and analyzing ribosome structures

RT @biorxivpreprint: RiboXYZ: A comprehensive database for visualizing and analyzing ribosomestructures #bioRxiv

RT @UWMadisonRNA: We need a SpliceoXYZ ASAP! @plaschka_lab @WojtekGalej @Seb_Fica :) RiboXYZ: A comprehensive database for visualizing a…

RiboXYZ: A comprehensive database for visualizing and analyzing ribosome structures

RT @vancityflyguy: 1/ Excited to announce our lab’s first paper at @ubclifesciences! Loss of the RNA binding protein FMRP is the most commo…

RT @biorxivpreprint: Viral surface geometry shapes influenza and coronavirus spike evolution #bioRxiv

RT @fredericpoitev1: Welcoming feedback on using MorphOT to generate movies between your cryoEM maps! Plugin written for the great @UCSFChi…

RT @cryoEM_Papers: MorphOT: Transport-based interpolation between EM maps with UCSF ChimeraX

RT @yun_s_song: Our article on comparative analysis of the ribosome across 20 different species just got published:

RT @yun_s_song: In this paper we identify the key parameters that govern translation efficiency, and formulate four design principles to op…

RT @yun_s_song: Outstanding work by my postdoc @kdaoduc on a comparative analysis of the ribosome exit tunnel geometry across 20 species. H…

Efficiently inferring the demographic history of many populations with allele count data

@jgschraiber @yun_s_song In practice, this measure of trans_eff may be biased for high density genes, but we actually proposed a way to correct it in this paper :) :

@jgschraiber @yun_s_song I would say that if the site you pick is associated with high speed, the observed density could in practice be more sensitive to noise or affected by the sample size so it's better to pick a site with relatively low lambda_k.

@jgschraiber @yun_s_song Should say about the second message I sent that the depletion measuremment actually does not directly give J but rather the time scale

@jgschraiber @yun_s_song In practice, for ribosome profiling data, you can use some measurement of ribosome depletion to get J (like in fig 3b of Ingolia et al. Cell 2011). Which also means our method helps to get the rates 2/2