Venkat et al., 2018 - Google Patents
Multinucleotide mutations cause false inferences of lineage-specific positive selectionVenkat et al., 2018
View HTML- Document ID
- 15797259581928383195
- Author
- Venkat A
- Hahn M
- Thornton J
- Publication year
- Publication venue
- Nature ecology & evolution
External Links
Snippet
Phylogenetic tests of adaptive evolution, such as the widely used branch-site test (BST), assume that nucleotide substitutions occur singly and independently. Recent research has shown that errors at adjacent sites often occur during DNA replication, and the resulting …
- 230000035772 mutation 0 title abstract description 26
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Venkat et al. | Multinucleotide mutations cause false inferences of lineage-specific positive selection | |
Rodriguez-R et al. | Nonpareil 3: fast estimation of metagenomic coverage and sequence diversity | |
Irisarri et al. | Phylotranscriptomic consolidation of the jawed vertebrate timetree | |
Zhang et al. | Simulating multiple faceted variability in single cell RNA sequencing | |
Molina-Venegas et al. | Revisiting phylogenetic signal; strong or negligible impacts of polytomies and branch length information? | |
Ali et al. | Identifying clusters of high confidence homologies in multiple sequence alignments | |
Mirarab et al. | Statistical binning enables an accurate coalescent-based estimation of the avian tree | |
Groussin et al. | Unraveling the processes shaping mammalian gut microbiomes over evolutionary time | |
Morales et al. | Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast | |
Kubatko et al. | An invariants-based method for efficient identification of hybrid species from large-scale genomic data | |
Huang et al. | Detecting presence of mutational signatures in cancer with confidence | |
Westcott et al. | OptiClust, an improved method for assigning amplicon-based sequence data to operational taxonomic units | |
Zhang et al. | Evaluation of a Bayesian coalescent method of species delimitation | |
Moore et al. | Phylogenetic analysis of 83 plastid genes further resolves the early diversification of eudicots | |
Aitken et al. | Pervasive lesion segregation shapes cancer genome evolution | |
Alon et al. | Biomolecular network motif counting and discovery by color coding | |
Parker et al. | Genome-wide signatures of convergent evolution in echolocating mammals | |
Pigot et al. | A new dynamic null model for phylogenetic community structure | |
Swenson et al. | SuperFine: fast and accurate supertree estimation | |
Wu et al. | Most parsimonious reconciliation in the presence of gene duplication, loss, and deep coalescence using labeled coalescent trees | |
Chen et al. | Networks in a large-scale phylogenetic analysis: reconstructing evolutionary history of Asparagales (Lilianae) based on four plastid genes | |
Leutenegger et al. | Consanguinity around the world: what do the genomic data of the HGDP-CEPH diversity panel tell us? | |
Hu et al. | Homoeologous gene expression and co-expression network analyses and evolutionary inference in allopolyploids | |
Laurin et al. | Developmental characters in phylogenetic inference and their absolute timing information | |
Fountain-Jones et al. | Emerging phylogenetic structure of the SARS-CoV-2 pandemic |