elynx-markov-0.3.0: src/ELynx/Import/MarkovProcess/SiteprofilesPhylobayes.hs
-- |
-- Module : ELynx.Import.MarkovProcess.SiteprofilesPhylobayes
-- Description : Import site profiles in Phylobayes format
-- Copyright : (c) Dominik Schrempf 2020
-- License : GPL-3.0-or-later
--
-- Maintainer : dominik.schrempf@gmail.com
-- Stability : unstable
-- Portability : portable
--
-- Creation date: Tue Jan 29 12:12:55 2019.
--
-- For now I just try to go with a huge empirical distribution mixture model. Let's
-- see if performance is good enough.
--
-- There are subtle differences between
-- `ELynx.Import.MarkovProcess.EDMModelPhylobayes` and this module, which collects
-- one stationary distribution for each site.
module ELynx.Import.MarkovProcess.SiteprofilesPhylobayes
( siteprofiles,
)
where
import Control.Monad
import Data.Containers.ListUtils (nubInt)
import qualified Data.Vector.Storable as V
import ELynx.Import.MarkovProcess.EDMModelPhylobayes
( EDMComponent,
Parser,
)
import ELynx.Tools
import Text.Megaparsec
import Text.Megaparsec.Byte
import Text.Megaparsec.Byte.Lexer
-- | Parse stationary distributions from Phylobayes format.
siteprofiles :: Parser [EDMComponent]
siteprofiles = do
_ <- headerLines
cs <- many dataLine
_ <- many newline *> eof <?> "phylobayes siteprofiles"
let ls = map length cs
nLs = length $ nubInt ls
when
(nLs /= 1)
(error "The site profiles have a different number of entries.")
return cs
horizontalSpace :: Parser ()
horizontalSpace = skipMany $ char (c2w ' ') <|> tab
line :: Parser ()
line = do
_ <- many $ noneOf [c2w '\n']
pure ()
-- For now, just ignore the header.
headerLines :: Parser ()
headerLines = do
_ <- line
_ <- many newline <?> "headerLine"
pure ()
dataLine :: Parser EDMComponent
dataLine = do
-- Ignore site number.
_ <- decimal :: Parser Integer
_ <- horizontalSpace
-- Also ignore additional white space on line.
vals <- float `sepEndBy1` horizontalSpace
_ <- many newline <?> "dataLine"
-- Set the weight to 1.0 for all sites.
return (1.0, V.fromList vals)