Published in Bioinformatics on June 15, 2014
Inferring sparse networks for noisy transient processes. Sci Rep (2016) 0.75
KEGG for linking genomes to life and the environment. Nucleic Acids Res (2007) 49.37
Functional discovery via a compendium of expression profiles. Cell (2000) 31.39
Global mapping of the yeast genetic interaction network. Science (2004) 21.34
The genetic landscape of a cell. Science (2010) 16.52
Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans. Hum Mol Genet (2002) 9.18
Roles of N-linked glycans in the endoplasmic reticulum. Annu Rev Biochem (2004) 8.80
Distinct ubiquitin-ligase complexes define convergent pathways for the degradation of ER proteins. Cell (2006) 5.54
Systematic pathway analysis using high-resolution fitness profiling of combinatorial gene deletions. Nat Genet (2007) 4.59
Comprehensive characterization of genes required for protein folding in the endoplasmic reticulum. Science (2009) 4.58
Identification of a targeting factor for posttranslational membrane protein insertion into the ER. Cell (2007) 4.53
A strategy for extracting and analyzing large-scale quantitative epistatic interaction data. Genome Biol (2006) 4.49
Defining genetic interaction. Proc Natl Acad Sci U S A (2008) 3.67
Ordering gene function: the interpretation of epistasis in regulatory hierarchies. Trends Genet (1992) 3.65
The GET complex mediates insertion of tail-anchored proteins into the ER membrane. Cell (2008) 3.51
The recognition and retrotranslocation of misfolded proteins from the endoplasmic reticulum. Traffic (2008) 3.07
Derivation of genetic interaction networks from quantitative phenotype data. Genome Biol (2005) 2.74
Epistasis analysis with global transcriptional phenotypes. Nat Genet (2005) 2.67
Genetic approaches to the analysis of microbial development. Annu Rev Genet (1982) 2.53
Genetics of programmed cell death in C. elegans: past, present and future. Trends Genet (1998) 2.19
Yos9p detects and targets misfolded glycoproteins for ER-associated degradation. Mol Cell (2005) 1.97
Htm1 protein generates the N-glycan signal for glycoprotein degradation in the endoplasmic reticulum. J Cell Biol (2009) 1.93
Structural insights into tail-anchored protein binding and membrane insertion by Get3. Proc Natl Acad Sci U S A (2009) 1.63
Finding friends and enemies in an enemies-only network: a graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions. Genome Res (2008) 1.61
Automated identification of pathways from quantitative genetic interaction data. Mol Syst Biol (2010) 1.37
Analysis of epistatic interactions and fitness landscapes using a new geometric approach. BMC Evol Biol (2007) 1.30
Q&A: epistasis. J Biol (2009) 1.10
GenePath: a system for automated construction of genetic networks from mutant data. Bioinformatics (2003) 1.07
A lipid E-MAP identifies Ubx2 as a critical regulator of lipid saturation and lipid bilayer stress. Mol Cell (2013) 1.02
Integrative gene network construction for predicting a set of complementary prostate cancer genes. Bioinformatics (2011) 1.01
The yeast CWH41 gene encodes glucosidase I. Glycobiology (1997) 0.97
Genetic dissection of developmental pathways. Methods Cell Biol (1995) 0.89
Quantitative epistasis analysis and pathway inference from genetic interaction data. PLoS Comput Biol (2011) 0.82
Universal epistasis analysis. Nat Genet (2005) 0.81
Identifiability and inference of pathway motifs by epistasis analysis. Chaos (2013) 0.81
Role of synthetic genetic interactions in understanding functional interactions among pathways. Pac Symp Biocomput (2012) 0.79
From large-scale assays to mechanistic insights: computational analysis of interactions. Curr Opin Biotechnol (2010) 0.78