To obtain a global view of functional interactions among genes in a metazoan genome, we computationally integrated interactome data, gene expression data, phenotype data, and functional annotation data from three model organisms—Saccharomyces cerevisiae, Caenorhabditis elegans, and Drosophila melanogaster—and predicted genome-wide genetic interactions in C. elegans. The resulting genetic interaction network (consisting of 18,183 interactions) provides a framework for system-level understanding of gene functions. We experimentally tested the predicted interactions for two human disease-related genes and identified 14 new modifiers
To provide accurate biological hypotheses and elucidate global properties of cellular networks, syst...
This repository contains Supplementary Information for manuscript Suriyalaksh et al Gene Regulatory ...
Abstract: To provide accurate biological hypotheses and elucidate global properties of cellular netw...
To obtain a global view of functional interactions among genes in a metazoan genome, we computationa...
Abstract Background Understanding gene function and g...
Abstract Background Understanding gene function and genetic relationships is fundamental to our effo...
Genetic interaction and synthetic lethality are important tools that can be utilized to study the or...
Understanding gene function and genetic relationships is elemental in our efforts to better understa...
Transcription factors (TFs) play a central role in controlling spatiotemporal gene expression and th...
Characterizing genetic interactions is crucial to understanding cellular and organismal response to ...
<p>About this dataset: These are the most reliable 200,000 PPI predictions for C. elegans. It is a C...
AbstractBy integrating functional genomic and proteomic mapping approaches, biological hypotheses sh...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
<div><p>A genetic interaction (GI) is defined when the mutation of one gene modifies the phenotypic ...
Background Connectivity networks, which reflect multiple interactions between genes and proteins, po...
To provide accurate biological hypotheses and elucidate global properties of cellular networks, syst...
This repository contains Supplementary Information for manuscript Suriyalaksh et al Gene Regulatory ...
Abstract: To provide accurate biological hypotheses and elucidate global properties of cellular netw...
To obtain a global view of functional interactions among genes in a metazoan genome, we computationa...
Abstract Background Understanding gene function and g...
Abstract Background Understanding gene function and genetic relationships is fundamental to our effo...
Genetic interaction and synthetic lethality are important tools that can be utilized to study the or...
Understanding gene function and genetic relationships is elemental in our efforts to better understa...
Transcription factors (TFs) play a central role in controlling spatiotemporal gene expression and th...
Characterizing genetic interactions is crucial to understanding cellular and organismal response to ...
<p>About this dataset: These are the most reliable 200,000 PPI predictions for C. elegans. It is a C...
AbstractBy integrating functional genomic and proteomic mapping approaches, biological hypotheses sh...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
<div><p>A genetic interaction (GI) is defined when the mutation of one gene modifies the phenotypic ...
Background Connectivity networks, which reflect multiple interactions between genes and proteins, po...
To provide accurate biological hypotheses and elucidate global properties of cellular networks, syst...
This repository contains Supplementary Information for manuscript Suriyalaksh et al Gene Regulatory ...
Abstract: To provide accurate biological hypotheses and elucidate global properties of cellular netw...