- NextGP project aims at providing necessary analysis tools to quantitative/statistical geneticists for genomic predictions.
- As the name suggests, NextGP will focus on next generation of methods, though some traditional genomic prediction methods as well as conventional mixed model type of analysis will be a part of the package for completeness.
- I will implement Bayesian approach in parameter estimations. In most cases, a Gibbs sampling procedure will be used.
- NextGP has two main focus:
- Models for multi-breed (population,line etc..) analysis
- Gene regulatory network estimation
- NextGP will rely on a set of Julia packages, some of which could be easily avoided, or will be avoided in the later releases.
- Popularity
- 8 Stars
- Updated Last
- 4 Months Ago
- Started In
- February 2022
Required Packages
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Adapt
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AliasTables
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ArrayLayouts
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BandedMatrices
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BenchmarkTools
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BSplineKit
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CategoricalArrays
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CEnum
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ChainRulesCore
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ChangesOfVariables
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CodecBzip2
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CodecZlib
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CommonSubexpressions
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CommonWorldInvalidations
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Compat
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Crayons
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CSV
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DataAPI
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DataFrames
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DataStructures
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DataValueInterfaces
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DelimitedFiles
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DensityInterface
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Dictionaries
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DiffResults
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DiffRules
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Distributed
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Distributions
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DocStringExtensions
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FastGaussQuadrature
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FilePathsBase
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FillArrays
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ForwardDiff
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GLM
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HypergeometricFunctions
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IfElse
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Indexing
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InlineStrings
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InverseFunctions
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InvertedIndices
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IrrationalConstants
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IteratorInterfaceExtensions
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JSON
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JSON3
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LaTeXStrings
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LazyArtifacts
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LogExpFunctions
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MixedModels
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PedigreeBase
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PrettyTables
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ProgressMeter
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StatsBase
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StatsModels
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