slynx-0.7.1.0: src/SLynx/Examine/Examine.hs
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE TupleSections #-}
-- |
--
-- Module : Analyze.Analyze
-- Description : Parse sequence file formats and analyze them
-- Copyright : 2021 Dominik Schrempf
-- License : GPL-3.0-or-later
--
-- Maintainer : dominik.schrempf@gmail.com
-- Stability : unstable
-- Portability : portable
--
-- Creation date: Fri Oct 5 08:41:05 2018.
module SLynx.Examine.Examine
( examineCmd,
)
where
import Control.Monad
import Control.Monad.IO.Class
import Control.Monad.Trans.Reader
import qualified Data.ByteString.Lazy.Char8 as BL
import qualified Data.Matrix.Unboxed as MU
import qualified Data.Set as S
import qualified Data.Vector.Unboxed as V
import qualified ELynx.Alphabet.Alphabet as A
import qualified ELynx.Alphabet.Character as C
import qualified ELynx.Sequence.Alignment as M
import qualified ELynx.Sequence.Distance as D
import ELynx.Sequence.Divergence
import qualified ELynx.Sequence.Sequence as Seq
import ELynx.Tools.ByteString
import ELynx.Tools.ELynx
import ELynx.Tools.Environment
import ELynx.Tools.Logger
import qualified Numeric.LinearAlgebra as L
import SLynx.Examine.Options
import SLynx.Tools
import qualified Statistics.Sample as Sm
import System.IO
import Text.Printf
pRow :: String -> String -> BL.ByteString
pRow name val = alignLeft 50 n <> alignRight 10 v
where
n = BL.pack name
v = BL.pack val
examineAlignment :: Bool -> M.Alignment -> BL.ByteString
examineAlignment perSiteFlag a =
BL.unlines
[ "Sequences have equal length (multi sequence alignment, or single sequence).",
"Number of columns in alignment:",
pRow " Total:" $ show aL,
pRow " Constant:" $ show nConstant,
pRow " Constant (including gaps or unknowns):" $ show nConstantSoft,
pRow " Without gaps:" $ show (M.length aNoGaps),
pRow " With standard characters only:" $
show (M.length aOnlyStd),
"",
pRow "Total number of characters:" $ show nTot,
pRow "Standard (i.e., not extended IUPAC) characters:" $
show (nTot - nIUPAC - nGaps - nUnknowns),
pRow "Extended IUPAC characters:" $ show nIUPAC,
pRow "Gaps:" $ show nGaps,
pRow "Unknowns:" $ show nUnknowns,
"",
pRow "Percentage of standard characters:" $
printf "%2.2f" (100.0 - percentIUPAC - percentGaps - percentUnknowns),
pRow "Percentage of extended IUPAC characters:" $
printf "%2.2f" percentIUPAC,
pRow "Percentage of gaps:" $ printf "%2.2f" percentGaps,
pRow "Percentage of unknowns:" $ printf "%2.2f" percentUnknowns,
"",
BL.pack "Distribution of characters:",
-- Holy crap.
BL.pack $
concatMap ((: " ") . C.toChar) $
S.toList $
A.std $
A.alphabetSpec $
M.alphabet a,
BL.pack $ unwords $ map (printf "%.3f") charFreqs,
"",
BL.pack "Pairwise hamming distances (per site):",
pRow " Mean:" $ printf "%.3f" hMean,
pRow " Standard deviation:" $ printf "%.3f" $ sqrt hVar,
pRow " Minimum:" $ printf "%.3f" hMin,
pRow " Maximum:" $ printf "%.3f" hMax,
"",
"Mean effective number of states (measured using entropy):",
pRow "Across whole alignment:" $ printf "%.3f" kEffMean,
pRow "Across columns without gaps:" $ printf "%.3f" kEffMeanNoGaps,
pRow "Across columns without extended IUPAC characters:" $
printf "%.3f" kEffMeanOnlyStd,
"",
BL.pack "Mean effective number of states (measured using homoplasy):",
pRow "Across whole alignment:" $ printf "%.3f" kEffMeanHomo,
pRow "Across columns without gaps:" $ printf "%.3f" kEffMeanNoGapsHomo,
pRow "Across columns without extended IUPAC characters:" $
printf "%.3f" kEffMeanOnlyStdHomo,
"",
"Divergence matrix:"
]
<> perSiteBS
where
aL = M.length a
nConstant = M.length $ M.filterColsConstant a
nConstantSoft = M.length $ M.filterColsConstantSoft a
nTot = M.length a * M.nSequences a
nIUPAC = M.countIUPACChars a
nGaps = M.countGaps a
nUnknowns = M.countUnknowns a
percentIUPAC = 100 * fromIntegral nIUPAC / fromIntegral nTot :: Double
percentGaps = 100 * fromIntegral nGaps / fromIntegral nTot :: Double
percentUnknowns = 100 * fromIntegral nUnknowns / fromIntegral nTot :: Double
aNoGaps = M.filterColsNoGaps a
aNoGapsFreq = M.toFrequencyData aNoGaps
aOnlyStd = M.filterColsOnlyStd aNoGaps
aOnlyStdFreq = M.toFrequencyData aOnlyStd
charFreqsPerSite = M.toFrequencyData a
charFreqs = M.distribution charFreqsPerSite
seqs = M.toSequences a
normlz x = fromIntegral x / fromIntegral aL
pairwiseHamming =
V.fromList
[ either error normlz $ D.hamming x y
| x <- seqs,
y <- seqs,
x /= y
]
(hMean, hVar) = Sm.meanVariance pairwiseHamming
hMin = V.minimum pairwiseHamming
hMax = V.maximum pairwiseHamming
kEffs = M.kEffEntropy charFreqsPerSite
kEffsNoGaps = M.kEffEntropy aNoGapsFreq
kEffsOnlyStd = M.kEffEntropy aOnlyStdFreq
kEffMean = sum kEffs / fromIntegral (length kEffs)
kEffMeanNoGaps = sum kEffsNoGaps / fromIntegral (length kEffsNoGaps)
kEffMeanOnlyStd = sum kEffsOnlyStd / fromIntegral (length kEffsOnlyStd)
kEffsHomo = M.kEffHomoplasy charFreqsPerSite
kEffsNoGapsHomo = M.kEffHomoplasy aNoGapsFreq
kEffsOnlyStdHomo = M.kEffHomoplasy aOnlyStdFreq
kEffMeanHomo = sum kEffsHomo / fromIntegral (length kEffsHomo)
kEffMeanNoGapsHomo =
sum kEffsNoGapsHomo / fromIntegral (length kEffsNoGapsHomo)
kEffMeanOnlyStdHomo =
sum kEffsOnlyStdHomo / fromIntegral (length kEffsOnlyStdHomo)
perSiteBS =
if perSiteFlag
then
BL.unlines
[ BL.pack "Effective number of used states per site (measured using entropy):",
BL.pack . show $ kEffs
]
else BL.empty
examine :: Bool -> [Seq.Sequence] -> BL.ByteString
examine perSiteFlag ss =
Seq.summarizeSequences ss <> case M.fromSequences ss of
Left _ -> BL.empty
Right a -> BL.pack "\n" <> examineAlignment perSiteFlag a
-- From https://stackoverflow.com/a/52602906/3536806.
tuples :: [a] -> [(a, a)]
tuples [] = []
tuples (x : xs) = map (x,) xs ++ tuples xs
-- This is all ugly, but who cares.
writeDivergenceMatrix :: Handle -> (Seq.Sequence, Seq.Sequence, MU.Matrix Int) -> IO ()
writeDivergenceMatrix h (x, y, xs) = do
BL.hPutStrLn h $ "> " <> Seq.name x <> ", " <> Seq.name y
hPutStr h $ L.dispf 0 m
where
n = MU.rows xs
m = L.matrix n $ map fromIntegral $ MU.toList xs
computeDivergenceMatrices :: [Seq.Sequence] -> ELynx ExamineArguments ()
computeDivergenceMatrices ss = do
logInfoS "Compute divergence matrices."
let xys = tuples ss
ds = map (\(x, y) -> (x, y, either error id $ divergence x y)) xys
h <- outHandle "divergence matrices" ".div"
mapM_ (liftIO . writeDivergenceMatrix h) ds
liftIO $ hClose h
-- | Examine sequences.
examineCmd :: ELynx ExamineArguments ()
examineCmd = do
(ExamineArguments al inFile perSiteFlag divergenceFlag) <- localArguments <$> ask
ss <- readSeqs al inFile
let result = examine perSiteFlag ss
out "result of examination" result ".out"
when divergenceFlag (computeDivergenceMatrices ss)