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This update introduces new configuration options for pair selection, including multi-match filtering, circularity settings, and reference site validation. It also enhances the search functionality to correctly identify and track repeated sequences and reference locations, improving the accuracy of primer pair identification.
111 lines
3.8 KiB
Go
111 lines
3.8 KiB
Go
package obiprimer
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import (
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"fmt"
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"git.metabarcoding.org/obitools/obitools4/obitools4/pkg/obithermo"
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)
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// SearchParams gathers every parameter of the primer pair search, named after
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// the ecoPrimers options they come from.
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type SearchParams struct {
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PrimerLength int // -O: size of the primers (default 18)
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MaxErrors int // -e: substitutions allowed between a primer and its sites (default 3)
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MinLength int // -l: the amplicon (primers excluded) must be longer than this
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MaxLength int // -L: and shorter than this
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ThreePrime int // -3: number of 3' bases that must match exactly
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StrictQuorum float64 // -q: fraction of the examples containing the exact word (0.7)
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Sensitivity float64 // -s: fraction of the examples a primer must match (0.9)
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FalsePositive float64 // -x: fraction of the counterexamples it may match (0.1)
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MinSpecificity float64 // -T: pairs with a lower Bs are dropped (0.6)
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Circular bool // -c: sequences are circular
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NoMultiMatch bool // -U: discard the primers matching several times in a sequence
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Reference string // -R: identifier of an example sequence on which the amplicons are located ("" = none)
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Partitions int // partitions of the k-mer counter (default 256)
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TmpDir string
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Model *obithermo.Model // melting temperatures; nil leaves them NaN
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}
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// DefaultSearchParams returns the ecoPrimers defaults.
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func DefaultSearchParams() SearchParams {
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return SearchParams{
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PrimerLength: 18, MaxErrors: 3, MinLength: 0, MaxLength: 1000,
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StrictQuorum: 0.7, Sensitivity: 0.9, FalsePositive: 0.1, MinSpecificity: 0.6,
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Partitions: 256, Model: obithermo.DefaultModel(),
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}
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}
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// SearchInfo reports the size of every stage of a search.
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type SearchInfo struct {
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Counts Counts
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StrictWords int // words found without error in at least StrictQuorum of the examples
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MinStrict int // that quorum, in sequences
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Matches int // approximate occurrences of those words
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Repeated int // strict words dropped because repeated in an example (-U)
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MultiMatch int // words dropped because matching several times in a sequence (-U)
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Pair PairInfo
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}
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// Search runs the whole ecoPrimers pipeline on a corpus: strict words,
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// approximate occurrences, pairs and their indices. The pairs are sorted by
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// decreasing Yule*Bs.
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func Search(c *Corpus, taxa *Taxa, p SearchParams) ([]PairStats, *SearchInfo, error) {
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if p.MaxErrors < 0 {
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return nil, nil, fmt.Errorf("obiprimer: the allowed mismatch count cannot be negative")
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}
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sw, err := FindStrictWords(c, WordSearch{
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PrimerLength: p.PrimerLength,
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Quorum: p.StrictQuorum,
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Circular: p.Circular,
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Partitions: p.Partitions,
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TmpDir: p.TmpDir,
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})
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if err != nil {
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return nil, nil, err
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}
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info := &SearchInfo{Counts: sw.Counts, StrictWords: len(sw.Words), MinStrict: sw.MinSequences}
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if p.NoMultiMatch {
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sw.Words, info.Repeated = DropRepeatedWords(sw.Words)
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}
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refIndex := -1
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if p.Reference != "" {
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if refIndex, err = c.IndexOfExample(p.Reference); err != nil {
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return nil, info, err
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}
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}
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words := make([]uint64, len(sw.Words))
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for i, w := range sw.Words {
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words[i] = w.Kmer
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}
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wm, err := MatchWords(c, words, MatchParams{K: p.PrimerLength, MaxErrors: p.MaxErrors, Circular: p.Circular})
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if err != nil {
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return nil, info, err
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}
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if p.NoMultiMatch {
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wm, info.MultiMatch = DropMultiMatch(wm)
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}
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for _, w := range wm {
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info.Matches += len(w.Matches)
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}
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pairs, pinfo, err := FindPairs(c, taxa, wm, PairParams{
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PrimerLength: p.PrimerLength,
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MinLength: p.MinLength,
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MaxLength: p.MaxLength,
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ThreePrime: p.ThreePrime,
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Sensitivity: p.Sensitivity,
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FalsePositive: p.FalsePositive,
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MinSpecificity: p.MinSpecificity,
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Circular: p.Circular,
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Reference: refIndex,
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HasReference: refIndex >= 0,
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}, p.Model)
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info.Pair = pinfo
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return pairs, info, err
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}
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