Created
April 11, 2021 13:18
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Binary DNA modification to the Needleman Wunch algorithms
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/** | |
* Modification to the Needleman Wunsch for Binary DNA | |
*/ | |
class NeedlemanWunsch { | |
/** | |
* @param {string} seq1 - First | |
* @param {string} seq2 | |
* @param {string} seq12 | |
* @param {string} seq22 | |
* @param {number} match_score | |
* @param {number} mismatch_penalty | |
* @param {number} gap_penalty | |
* */ | |
constructor(seq1, seq2, seq12, seq22, match_score, mismatch_penalty, gap_penalty) { | |
// Compared sequences | |
this.seq1 = seq1; | |
this.seq2 = seq2; | |
this.seq12 = seq12; | |
this.seq22 = seq22; | |
// Scoring parameters | |
this.match_score = match_score; | |
this.mismatch_penalty = mismatch_penalty; | |
this.gap_penalty = gap_penalty; | |
// Intermediate scores matrix (scores for [`insert`, `match`, `delete`] positions) | |
this.I = []; | |
// Score matrix (best score out of intermediate scores) | |
this.S = []; | |
// Traceback matrix (boolean values for [`insert`, `match`, `delete`] positions) | |
this.T = []; | |
// Alignments | |
this.final_alignments = []; | |
// Calculate scores and tracebacks | |
this.calcScoresAndTracebacks(); | |
} | |
/** | |
* Calculates (intermediate) scores and tracebacks using provided parameters | |
*/ | |
calcScoresAndTracebacks() { | |
this.S.push([0]); | |
this.I.push([[null, null, null]]); | |
this.T.push([[false, false, false]]); | |
// Calculate scores and traceback on first row | |
for (let j=1; j<this.seq2.length + 1; j++) { | |
this.S[0].push(this.S[0][this.S[0].length - 1] + this.gap_penalty); | |
this.I[0].push([null, null, null]); | |
this.T[0].push([true, false, false]); | |
} | |
console.log(this.seq1.length, this.seq12.length, this.seq2.length, this.seq22.length) | |
const rowlength = this.seq1.length >= this.seq12.length ? this.seq1.length : this.seq12.length; | |
const columnlength = this.seq2.length >= this.seq22.length ? this.seq2.length : this.seq22.length; | |
// Generate other rows | |
for (let i=1; i<rowlength + 1; i++) { | |
this.S.push([this.S[i-1][0] + this.gap_penalty]); | |
this.I.push([[null, null, null]]); | |
this.T.push([[false, false, true]]); | |
for (let j=1; j<columnlength + 1; j++) { | |
const insert = this.S[i][j-1] + this.gap_penalty; | |
const del = this.S[i-1][j] + this.gap_penalty; | |
// similarity | |
let sim_score; | |
if (this.seq1[i-1] === this.seq2[j-1] && this.seq1[i-1] !== " " && this.seq2[j-1]) { | |
console.log(typeof(this.seq1[i-1])) | |
sim_score = this.match_score; | |
} | |
else if(this.seq12[i-1] === this.seq22[j-1] && this.seq12[i-1] !== " " && this.seq12[j-1] ) { | |
console.log('this is seq12', this.seq12[i-1], 'this is seq22',this.seq22[j-1]) | |
sim_score = this.match_score; | |
console.log(sim_score) | |
} | |
else { | |
sim_score = this.mismatch_penalty; | |
} | |
const match = this.S[i-1][j-1] + sim_score; | |
const intermediate_scores = [insert, match, del]; | |
const score = Math.max(...intermediate_scores); | |
const tracebackTypeStatus = intermediate_scores.map((e, i) => e === score); | |
this.S[i].push(score); | |
this.I[i].push(intermediate_scores); | |
this.T[i].push(tracebackTypeStatus); | |
} | |
} | |
} | |
/** | |
* Finds next alignment locations (children) from a position in scoring matrix | |
* @param {number[]} pos m- Position in scoring matrix | |
* @return {Object[]} children - Children positions and alignment types | |
*/ | |
alignmentChildren(pos) { | |
let i, j, children; | |
[i, j] = pos; | |
children = []; | |
const traceback_type_status = this.T[i][j]; | |
if (traceback_type_status[0]) { // insert | |
children.push({pos: [i, j-1], tracebackType: 0}); | |
} | |
if (traceback_type_status[1]) { // match | |
children.push({pos: [i-1, j-1], tracebackType: 1}); | |
} | |
if (traceback_type_status[2]) { // delete | |
children.push({pos: [i-1, j], tracebackType: 2}); | |
} | |
return children | |
} | |
/** | |
* Runs through scoring matrix from bottom-right to top-left using traceback values to create all optimal alignments | |
* @returns {Array} | |
*/ | |
alignmentTraceback() { | |
let final_alignments = []; | |
let second_alignments = []; | |
let root = { | |
next: null, | |
pos: [this.seq1.length, this.seq2.length ], | |
secPos: [this.seq12.length, this.seq22.length], | |
alignment: { | |
seq1: "", | |
seq2: "", | |
}, | |
secondAlignment: { | |
//this are the alignment sequences | |
seq12: "", | |
seq22: "", | |
} | |
}; | |
console.log(current) | |
let current, child, children, len, depth, babe,baby, alignment,secAlignment, pos,secPos, t; | |
current = root; | |
while(current) { | |
pos = current.Pos; | |
secPos = current.secPos; | |
alignment = current.alignment; | |
secAlignment = current.secondAlignment; | |
// Get children alignments | |
// children = this.alignmentChildren(current.pos); | |
children = this.alignmentChildren(current.pos); | |
if(!children.length) { | |
second_alignments.push(secAlignment) | |
} | |
current = current.next; | |
// for(t = 0,len= children.length; t<len; t++) { | |
// child = children[t]; | |
// console.log(this.seq22) | |
// child.alignment = { | |
// seq12: secAlignment.seq12.concat(child.tracebackType===0 ? "-" : this.seq12[pos[0] - 1]), | |
// seq22: secAlignment.seq22.concat(child.tracebackType===2 ? "-" : this.seq22[pos[1] -1 ]) | |
// } | |
// child.next = current; | |
// current = child; | |
// } | |
for (t=0, len=children.length; t<len; t++) { | |
child = children[t]; | |
child.alignment = { | |
seq1: alignment.seq1.concat(child.tracebackType===0 ? "-" : this.seq1[pos[0]-1]), // -1 refers to offset between scoring matrix and the sequence | |
seq2: alignment.seq2.concat(child.tracebackType===2 ? "-" : this.seq2[pos[1]-1]) | |
}; | |
// Move down a layer | |
child.next = current; | |
current = child; | |
} | |
} | |
return [final_alignments, second_alignments] | |
} | |
} | |
export default NeedlemanWunsch; |
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