Hyukpyo Hong, Introduction to Git and GitHub
In this talk, the speaker introduces what Git and GitHub are and explains how to use them.
In this talk, the speaker introduces what Git and GitHub are and explains how to use them.
We will discuss about "Synthetic gene networks recapitulate dynamic signal decoding and differential gene expression", Benzinger et al., bioRxiv (2021) Cells live in constantly changing environments and employ dynamic signaling pathways to transduce information about the signals they encounter. However, the mechanisms by which dynamic signals are decoded into appropriate gene expression patterns remain poorly …
We will discuss about "On the quasi-steady-state approximation in an open Michaelis-Menten reaction mechanism", bioRxiv (2021). The conditions for the validity of the standard quasi-steady-state approximation in the Michaelis--Menten mechanism in a closed reaction vessel have been well studied, but much less so the conditions for the validity of this approximation for the system with …
We will discuss about "Frequency Spectra and the Color of Cellular Noise", bioRxiv (2020). The invention of the Fourier integral in the 19th century laid the foundation for modern spectral analysis methods. By decomposing a (time) signal into its essential frequency components, these methods uncovered deep insights into the signal and its generating process, precipitating …
The speaker presents how to use Rcpp (Seamless R and C++ Integration) and RcppArmadillo packages ('Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library) for statistical programming.
We will discuss about "Pairing of segmentation clock genes drives robust pattern formation", Zinani et al., Nature (2021) Gene expression is an inherently stochastic process; however, organismal development and homeostasis require cells to coordinate the spatiotemporal expression of large sets of genes. In metazoans, pairs of co-expressed genes often reside in the same chromosomal neighbourhood, …
We will discuss about "Maximum Entropy Framework for Predictive Inference of Cell Population Heterogeneity and Responses in Signaling Networks", Dixit et al., Cell Systems (2020) Predictive models of signaling networks are essential for understanding cell population heterogeneity and designing rational interventions in disease. However, using computational models to predict heterogeneity of signaling dynamics is often …
In this presentation, we are going to discuss the paper, "Unified rational protein engineering with sequence-based deep representation learning" Abstract Rational protein engineering requires a holistic understanding of protein function. Here, we apply deep learning to unlabeled amino-acid sequences to distill the fundamental features of a protein into a statistical representation that is semantically rich …
Registration is required to attend this talk (link: https://www.ibric.org/seminar/#), and it will be presented in Korean. Abstract: 생체 시계 (Circadian clock)를 구성하는 핵심 단백질인 PERIOD (PER)의 양은 12시간 동안 증가했다가 12시간 동안 감소하며 24시간 주기로 변화한다. 이 24시간 주기의 PER 리듬이 우리 몸의 시계 역할을 하여 수면 시간 등 다양한 행동 및 생리 작용의 시간을 …
This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: Millions of individuals track their steps, heart rate, and other physiological signals through wearables. This data scale is unprecedented; I will describe several of our apps and ongoing studies, each of which collects wearable and mobile data from thousands of users, …