Inferring genetic interactions from comparative fitness data.

scientific article published on 20 December 2017

Inferring genetic interactions from comparative fitness data. is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.7554/ELIFE.28629
P932PMC publication ID5737811
P698PubMed publication ID29260711

P50authorNiko BeerenwinkelQ47134273
Devin GreeneQ56532752
Alex GavryushkinQ57311584
Kristina CronaQ89692170
P2093author name stringAlex Gavryushkin
Kristina Crona
P2860cites workStability-mediated epistasis constrains the evolution of an influenza proteinQ21128791
Mutational fitness effects in RNA and single-stranded DNA viruses: common patterns revealed by site-directed mutagenesis studiesQ22065913
The distribution of fitness effects caused by single-nucleotide substitutions in an RNA virusQ22066390
Fitness and its role in evolutionary geneticsQ22122004
Evidence for Positive Epistasis in HIV-1Q22242281
The genetic landscape of a cellQ28131628
A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibilityQ28295511
Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic ResistanceQ28547894
Strong Selection Significantly Increases Epistatic Interactions in the Long-Term Evolution of a ProteinQ28551065
Adaptive Landscape by Environment Interactions Dictate Evolutionary Dynamics in Models of Drug ResistanceQ28552806
Detecting High-Order Epistasis in Nonlinear Genotype-Phenotype MapsQ29002206
Darwinian evolution can follow only very few mutational paths to fitter proteinsQ29616042
Functional origins of fitness effect-sizes of compensatory mutations in the DNA bacteriophage phiX174.Q30358351
A complete classification of epistatic two-locus modelsQ33320343
Enzyme Efficiency but Not Thermostability Drives Cefotaxime Resistance Evolution in TEM-1 β-LactamaseQ33590790
Fitness epistasis and constraints on adaptation in a human immunodeficiency virus type 1 protein regionQ33853183
Evolutionary accessibility of mutational pathwaysQ34005257
Reciprocal sign epistasis is a necessary condition for multi-peaked fitness landscapes.Q34155513
Perspective: Sign epistasis and genetic constraint on evolutionary trajectoriesQ34437784
Robustness-epistasis link shapes the fitness landscape of a randomly drifting protein.Q34584004
Designing antibiotic cycling strategies by determining and understanding local adaptive landscapesQ34589777
Empirical fitness landscapes reveal accessible evolutionary pathsQ34606034
A framework for inferring fitness landscapes of patient-derived viruses using quasispecies theoryQ34864202
Should evolutionary geneticists worry about higher-order epistasis?Q35035921
A biophysical protein folding model accounts for most mutational fitness effects in virusesQ35049281
The changing geometry of a fitness landscape along an adaptive walkQ35172659
Rational design of antibiotic treatment plans: a treatment strategy for managing evolution and reversing resistanceQ35623227
High-order epistasis shapes evolutionary trajectoriesQ36372082
A pivot mutation impedes reverse evolution across an adaptive landscape for drug resistance in Plasmodium vivaxQ36503457
Adaptation in protein fitness landscapes is facilitated by indirect pathsQ37175865
Empirical fitness landscapes and the predictability of evolutionQ38218962
Detecting epistasis in human complex traitsQ38247072
Toward the human genotopeQ40173471
Epistasis and the adaptability of an RNA virusQ41907301
The peaks and geometry of fitness landscapesQ42427784
Negative epistasis between beneficial mutations in an evolving bacterial populationQ44010374
Relating HIV-1 sequence variation to replication capacity via trees and forestsQ46669496
Exact results for amplitude spectra of fitness landscapes.Q51215201
Quantitative analyses of empirical fitness landscapesQ56532439
PERSPECTIVE: SIGN EPISTASIS AND GENETIC COSTRAINT ON EVOLUTIONARY TRAJECTORIESQ56532444
The geometry of partial fitness orders and an efficient method for detecting genetic interactionsQ57254354
The geometry of partial fitness orders and an efficient method for detecting genetic interactionsQ88599476
P4510describes a project that usesJupyter notebook fileQ70357595
P407language of work or nameEnglishQ1860
P577publication date2017-12-20
P1433published ineLifeQ2000008
P1476titleInferring genetic interactions from comparative fitness data
P478volume6

Reverse relations

cites work (P2860)
Q90064992Inference of clonal selection in cancer populations using single-cell sequencing data
Q91555438Long-term evolution on complex fitness landscapes when mutation is weak
Q95315605Predictable properties of fitness landscapes induced by adaptational tradeoffs
Q64986364Proteostasis Environment Shapes Higher-Order Epistasis Operating on Antibiotic Resistance.
Q92624051Rank orders and signed interactions in evolutionary biology
Q55002438The Influence of Higher-Order Epistasis on Biological Fitness Landscape Topography.
Q88599476The geometry of partial fitness orders and an efficient method for detecting genetic interactions
Q89394208Unraveling the causes of adaptive benefits of synonymous mutations in TEM-1 β-lactamase

Search more.