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package ml;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Random;
import dna.AminoAcid;
import fileIO.ByteStreamWriter;
import fileIO.FileFormat;
import fileIO.ReadWrite;
import shared.Parse;
import shared.Parser;
import shared.PreParser;
import shared.Shared;
import shared.Timer;
import shared.Tools;
import stream.ConcurrentReadInputStream;
import stream.Read;
import structures.ByteBuilder;
import structures.ListNum;
import tracker.EntropyTracker;
/**
* @author Brian Bushnell
* @date Oct 6, 2023
*
*/
public class SequenceToVector {
public static void main(String[] args){
//Start a timer immediately upon code entrance.
Timer t=new Timer();
//Create an instance of this class
SequenceToVector x=new SequenceToVector(args);
//Run the object
x.process(t);
//Close the print stream if it was redirected
Shared.closeStream(x.outstream);
}
public SequenceToVector(String[] args){
{//Preparse block for help, config files, and outstream
PreParser pp=new PreParser(args, getClass(), false);
args=pp.args;
outstream=pp.outstream;
}
int k_=0, d_=Integer.MAX_VALUE;
Parser parser=new Parser();
for(int i=0; i<args.length; i++){
String arg=args[i];
String[] split=arg.split("=");
String a=split[0].toLowerCase();
String b=split.length>1 ? split[1] : null;
if(b!=null && b.equalsIgnoreCase("null")){b=null;}
if(a.equals("parse_flag_goes_here")){
//Set a variable here
}else if(a.equals("result")){
result0=Float.parseFloat(b);
}else if(a.equals("width")){
width=Integer.parseInt(b);
}else if(a.equals("dimensions") || a.equals("dims")){
d_=Integer.parseInt(b);
if(d_<1) {d_=Integer.MAX_VALUE;}
}else if(a.equals("rcomp")){
rcomp=Parse.parseBoolean(b);
}else if(a.equals("parse") || a.equals("parseheader")){
parseHeader=Parse.parseBoolean(b);
}else if(a.equals("k")){
k_=Integer.parseInt(b);
mode=SPECTRUM;//(k_>0 ? SPECTRUM : RAW);
}else if(a.equals("spectrum") || a.equals("spectra") || a.equals("kfreq") || a.equals("kmerfrequency")){
boolean c=Parse.parseBoolean(b);
mode=(c ? SPECTRUM : RAW);
}else if(a.equals("raw")){
boolean c=Parse.parseBoolean(b);
mode=(!c ? SPECTRUM : RAW);
}else if(parser.parse(arg, a, b)){
//do nothing
}else{
// throw new RuntimeException("Unknown parameter "+args[i]);
assert(false) : "Unknown parameter "+args[i];
outstream.println("Unknown parameter "+args[i]);
}
}
{//Process parser fields
Parser.processQuality();
maxReads=parser.maxReads;
in1=parser.in1;
out1=parser.out1;
}
setDimensions(d_);
if(mode==SPECTRUM) {
assert(k_>0) : "k must be in range 1-8 in spectrum mode: "+k_;
k=k_;
fullSpace=(1<<(2*k));
kSpace=calcKSpace(k);
kmap=kmap(k, maxDimensions);
}else {
k=fullSpace=kSpace=0;
kmap=null;
}
ffout1=FileFormat.testOutput(out1, FileFormat.TXT, null, true, true, false, false);
ffin1=FileFormat.testInput(in1, FileFormat.FASTQ, null, true, true);
assert(result0!=-1 || parseHeader);
}
void process(Timer t){
final ConcurrentReadInputStream cris;
{
cris=ConcurrentReadInputStream.getReadInputStream(maxReads, true, ffin1, null);
cris.start();
}
boolean paired=cris.paired();
ByteStreamWriter bsw=new ByteStreamWriter(ffout1);
bsw.start();
long readsProcessed=0, basesProcessed=0;
{
ListNum<Read> ln=cris.nextList();
ArrayList<Read> reads=(ln!=null ? ln.list : null);
if(reads!=null && !reads.isEmpty()){
Read r=reads.get(0);
assert((ffin1==null || ffin1.samOrBam()) || (r.mate!=null)==cris.paired());
}
final int bufWidth=(k<1 ? 0 : 4+Tools.min(kspaceArray[k], maxDimensions));
int inputs=(k<1 ? width*4+4 : bufWidth);
bsw.print("#dims\t"+inputs+"\t1\n");
final ByteBuilder bb=new ByteBuilder();
final float[] buffer=(k<1 ? null : new float[bufWidth]);
while(ln!=null && reads!=null && reads.size()>0){//ln!=null prevents a compiler potential null access warning
if(verbose){outstream.println("Fetched "+reads.size()+" reads.");}
for(int idx=0; idx<reads.size(); idx++){
final Read r1=reads.get(idx);
final Read r2=r1.mate;
readsProcessed+=r1.pairCount();
basesProcessed+=r1.pairLength();
float result=(parseHeader ? Parse.parseFloat(r1.id, "result=", '\t') : result0);
toVector(r1, bb, bsw, width, k, result, buffer, rcomp);
toVector(r2, bb, bsw, width, k, result, buffer, rcomp);
}
cris.returnList(ln);
if(verbose){outstream.println("Returned a list.");}
ln=cris.nextList();
reads=(ln!=null ? ln.list : null);
}
if(ln!=null){
cris.returnList(ln.id, ln.list==null || ln.list.isEmpty());
}
}
errorState=ReadWrite.closeStreams(cris) | errorState;
if(verbose){outstream.println("Finished reading data.");}
errorState=bsw.poisonAndWait() | errorState;
t.stop();
outstream.println("Time: \t"+t);
outstream.println("Reads Processed: "+readsProcessed+" \t"+Tools.format("%.2fk reads/sec", (readsProcessed/(double)(t.elapsed))*1000000));
assert(!errorState) : "An error was encountered.";
}
/*--------------------------------------------------------------*/
private static void toVector(Read r, ByteBuilder bb, ByteStreamWriter bsw, int width, int k,
float result, float[] buffer, boolean rcomp) {
if(r==null) {return;}
toVector(r.bases, bb, width, k, result, buffer);
if(bsw!=null) {bsw.println(bb);}
bb.clear();
if(!rcomp) {return;}
toVector(r.reverseComplement(), bb, bsw, width, k, result, buffer, false);
}
private static ByteBuilder toVector(byte[] bases, ByteBuilder bb, int width, int k, float result, float[] buffer) {
float len=bases.length/(float)(width+5);
float gc=Tools.calcGC(bases);
EntropyTracker[] eTrackers=localETrackers.get();
final int tnum=Tools.min(bases.length, eTrackers.length-1);
EntropyTracker eTracker=eTrackers[tnum];
assert(eTracker!=null) : tnum+", "+eTrackers.length;
float entropy=eTracker.averageEntropy(bases, true);
float poly=Read.longestHomopolymer(bases);
poly=poly/(poly+5);
if(k<1) {
bb.append(len, 4).tab().append(gc, 4).tab().append(entropy, 4).tab().append(poly, 4);
appendRaw(bases, bb, width);
}else {
Arrays.fill(buffer, 0);
// int lim=Tools.min(width, bases.length);
int count=fillSpectrum(bases, buffer, 4, 0, bases.length, k);
len=(count*0.25f)/kspaceArray[k];
buffer[0]=len; buffer[1]=gc; buffer[2]=entropy; buffer[3]=poly;
appendSpectrum(bb, buffer);
}
if(result==(int)result) {
bb.tab().append((int)result);
}else {
bb.tab().append(result, 4);
}
return bb;
}
private static void appendRaw(byte[] bases, ByteBuilder bb, int width) {
for(int i=0; i<bases.length && i<width; i++) {
byte b=bases[i];
int n=AminoAcid.baseToNumber4[b];
bb.tab().append(hotCodes[n]);
}
for(int i=bases.length; i<width; i++) {//Pad with zeros
bb.tab().append("0\t0\t0\t0");
}
}
private static void appendSpectrum(ByteBuilder bb, float[] vec) {
for(float f : vec) {
bb.append(f, 5, true).tab();
}
bb.length--;
}
/*--------------------------------------------------------------*/
public static float[] fillVector(byte[] bases, float[] vec, int k) {
assert(vec!=null);
return fillVector(bases, vec, k, 0, bases.length-1);
}
public static float[] fillVector(byte[] bases, float[] vec, int k, int from, int to) {//To is inclusive
assert(vec!=null);
final int len=(to-from+1);
final int width=(vec.length-4)/4;
float flen=len/(float)(width+5);
float gc=Tools.calcGC(bases, from, to);
EntropyTracker[] eTrackers=localETrackers.get();
EntropyTracker eTracker=eTrackers[Tools.min(len, eTrackers.length-1)];
float entropy=eTracker.averageEntropy(bases, true, from, to);
float poly=Read.longestHomopolymer(bases, from, to);
poly=poly/(poly+5);
Arrays.fill(vec, 0);
vec[0]=flen;
vec[1]=gc;
vec[2]=entropy;
vec[3]=poly;
// System.err.println(Arrays.toString(vec));
int lim=Tools.min(to+1, from+width, bases.length);
if(k<1) {
fillRaw(bases, vec, 4, from, lim);//To is exclusive
assert(vec.length==width*4+4);
}else {
fillSpectrum(bases, vec, 4, from, lim, k);
}
// vec[width*4+4]=result;
return vec;
}
public static void fillRaw(byte[] bases, float[] vec, int offset, int from, int to) {
for(int i=from, j=offset; i<to; i++, j+=4) {
byte b=bases[i];
int n=AminoAcid.baseToNumber0[b];
vec[j+n]=1;
}
}
public static int fillSpectrum(byte[] bases, float[] vec, int offset, int from, int to, int k) {
final int[] map=kmapArray[k];
// assert(false) : maxDimensions+", "+Arrays.toString(map);
final int kspace=Tools.min(kspaceArray[k], maxDimensions);
int count=0, len=0;
int kmer=0;
int mask=~((-1)<<(2*k));
for(int i=from; i<to; i++) {
byte b=bases[i];
int x=AminoAcid.baseToNumber0[b];
kmer=((kmer<<2)|x)&mask;
len=(AminoAcid.isFullyDefined(b) ? len+1 : 0);
if(len>=k){
vec[map[kmer]+offset]++;
count++;
}
}
float mult=(kspace*0.25f)/count;//Relative fractions with an average of 0.25.
for(int i=offset; i<vec.length; i++) {vec[i]*=mult;}
return count;
}
public static float score(byte[] bases, float[] vec, CellNet net, boolean rcomp) {
net.applyInput(vec);
final float r, f=net.feedForward();
if(rcomp) {
AminoAcid.reverseComplementBasesInPlace(bases);
net.applyInput(vec);
r=net.feedForward();
AminoAcid.reverseComplementBasesInPlace(bases);
}else {r=f;}
return Tools.max(r, f);
}
/*--------------------------------------------------------------*/
public static int calcKSpace(int k) {
assert(k<16 && k>=0) : k;
final int fullSpace=1<<(2*k);
// if((k&1)==1) {return fullSpace/2;}
int count=0;
for(int kmer=0; kmer<fullSpace; kmer++) {//This is slow; a closed-form solution could be used.
int rcomp=AminoAcid.reverseComplementBinaryFast(kmer, k);
count+=(rcomp>=kmer ? 1 : 0);
}
int palindromes=(((k&1)==1) ? 0 : 1<<k);
int closedForm=(fullSpace+palindromes)/2;
assert(count==closedForm) : count+", "+closedForm;
return closedForm;
}
/** Produces a condensed kmer space */
public static int[] kmap(int k, int maxDims) {
assert(k<16 && k>=0) : k;
final int fullSpace=1<<(2*k);
final int[] map=new int[fullSpace];
int count=0;
final Random randy=(maxDims<fullSpace ? new Random(k) : null);
for(int kmer=0; kmer<fullSpace; kmer++) {
int rcomp=AminoAcid.reverseComplementBinaryFast(kmer, k);
if(kmer<=rcomp) {
if(count<maxDims) {
map[kmer]=count;
}else {
map[kmer]=randy.nextInt(maxDims);
}
count++;
}else {
map[kmer]=map[rcomp];
}
}
return map;
}
public static void setDimensions(int maxDims) {
if(maxDimensions==maxDims) {return;}
maxDimensions=maxDims;
fillArrays(maxDimensions);
}
private static void fillArrays(int maxDims) {
for(int k=1; k<=kMax; k++) {
fullspaceArray[k]=(1<<(2*k));
kspaceArray[k]=calcKSpace(k);
kmapArray[k]=kmap(k, maxDims);
}
}
/*--------------------------------------------------------------*/
private String in1=null;
private String out1=null;
private final FileFormat ffin1;
private final FileFormat ffout1;
private static final ThreadLocal<EntropyTracker[]> localETrackers=new ThreadLocal<EntropyTracker[]>(){
@Override protected EntropyTracker[] initialValue() {
EntropyTracker[] array=new EntropyTracker[maxWindow+1];
for(int i=minWindow; i<array.length; i++) {
array[i]=new EntropyTracker(ke, i, false);
}
return array;
}
};
// public EntropyTracker eTracker=new EntropyTracker(3, 20, false);
/*--------------------------------------------------------------*/
private long maxReads=-1;
private boolean errorState=false;
/*--------------------------------------------------------------*/
private boolean rcomp=false;
private boolean parseHeader=false;
private int width=55;
float result0=-1;
/*--------------------------------------------------------------*/
final int k;//=4;
final int fullSpace;//=(1<<(2*k));
final int kSpace;//=calcKSpace(k);
final int[] kmap;
private static final int[] fullspaceArray;
private static final int[] kspaceArray;
private static final int[][] kmapArray;
private static int maxDimensions=Integer.MAX_VALUE;
private static final int kMax=8;
static {
fullspaceArray=new int[kMax+1];
kspaceArray=new int[kMax+1];
kmapArray=new int[kMax+1][];
fillArrays(maxDimensions);
}
/*--------------------------------------------------------------*/
private int mode=RAW;
static final int RAW=0, SPECTRUM=1;
/*--------------------------------------------------------------*/
public static final int minWindow=16;
public static final int maxWindow=40;
public static final int ke=3;
/*--------------------------------------------------------------*/
public static final String[] hotCodes=new String[] {"1\t0\t0\t0", "0\t1\t0\t0", "0\t0\t1\t0", "0\t0\t0\t1", "1\t0\t0\t0"};
/*--------------------------------------------------------------*/
private java.io.PrintStream outstream=System.err;
public static boolean verbose=false;
}
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