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/*
* Copyright 2013 Brian Tjaden
*
* This file is part of Rockhopper.
*
* Rockhopper is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* any later version.
*
* Rockhopper is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* (in the file gpl.txt) along with Rockhopper.
* If not, see <http://www.gnu.org/licenses/>.
*/
import java.io.File;
import java.io.FileNotFoundException;
import java.util.Scanner;
/*************************************************************
* An instance of the Alignment class represents an alignment
* of a sequence read to a reference (genome) sequence.
*************************************************************/
public class Alignment {
/*********************************************************
****************** INSTANCE VARIABLES *******************
*********************************************************/
// Parameters
private int numErrors;
private int threshold;
private String seq1;
private int start1;
private int stop1;
private String seq2;
private int start2;
private int stop2;
private int[] qualities;
private int[][] table;
private int[][] errors;
private int[][] backtrack; // 1=LEFT, 2=DIAGONAL, 3=ABOVE, -1=DONE
private int size;
private int optimalScore_post;
private int optimalRow_post;
private int optimalCol_post;
private int optimalError_post;
private int optimalScore_pre;
private int optimalRow_pre;
private int optimalCol_pre;
private int optimalError_pre;
private StringBuilder formattedAlignment;
/*********************************************************
****************** CONSTRUCTORS *************************
*********************************************************/
public Alignment() {
this(0, 0);
}
public Alignment(int numErrors, int threshold) {
this.size = 120;
this.table = new int[size][size];
this.errors = new int[size][size];
this.numErrors = numErrors;
this.threshold = threshold;
}
/*********************************************************
****************** PUBLIC INSTANCE METHODS **************
*********************************************************/
public void setNumErrors(int numErrors) {
this.numErrors = numErrors;
}
public void setThreshold(int threshold) {
this.threshold = threshold;
}
public void align(File file1, File file2) {
String genome = readSequenceFromFile(file1);
String read = readSequenceFromFile(file2);
int[] qualityScores = new int[read.length()];
for (int i=0; i<qualityScores.length; i++) qualityScores[i] = 40;
this.align(genome, -1, 0, read, -1, 0, qualityScores);
}
/**
* Align seq1 (genome) and seq2 (read). The exclusive (start1:stop1) and (start2:stop2)
* coordinates represent a perfect match seed between the two sequences.
*/
public void align(String seq1, int start1, int stop1, String seq2, int start2, int stop2, int[] qualities) {
optimalError_post = 0;
optimalError_pre = 0;
if (seq1.length()-stop1 < seq2.length()-stop2) { // genome is not long enough for read
optimalScore_post = -2;
optimalScore_pre = -2;
return;
}
if (start1 < start2) { // genome is not long enough for read
optimalScore_post = -2;
optimalScore_pre = -2;
return;
}
this.seq1 = seq1;
this.start1 = start1;
this.stop1 = stop1;
this.seq2 = seq2;
this.start2 = start2;
this.stop2 = stop2;
this.qualities = qualities;
if (this.seq2.length() > this.size - this.numErrors) {
this.size = this.seq2.length() + this.numErrors;
this.table = new int[this.size][this.size];
this.errors = new int[this.size][this.size];
}
// Align post-seed
this.optimalScore_post = Integer.MAX_VALUE;
this.optimalRow_post = -2;
this.optimalCol_post = -2;
this.optimalError_post = 0;
postAlign();
// Align pre-seed
this.optimalScore_pre = Integer.MAX_VALUE;
this.optimalRow_pre = -2;
this.optimalCol_pre = -2;
this.optimalError_pre = 0;
preAlign();
}
public int getScore() {
if ((optimalScore_pre == -2) || (optimalScore_post == -2)) return -2;
return optimalScore_pre + optimalScore_post;
}
public int getErrors() {
return optimalError_pre + optimalError_post;
}
/**
* Return the starting coordinate in the genome (seq1) of the alignment.
*/
public int getStart() {
if (optimalRow_pre >= 0) // There is a region preceding the seed
return start1 - optimalRow_pre + 1;
else // No region in front of the seed
return start1 + 2;
}
/**
* Return the stopping coordinate in the genome (seq1) of the alignment.
*/
public int getStop() {
if (optimalRow_post >= 0) // There is a region following the seed
return stop1 + optimalRow_post + 1;
else // No region following the seed
return stop1;
}
/**
* Returns a String representation of this Alignment.
*/
public String toString() {
if ((optimalScore_pre == -2) || (optimalScore_post == -2)) return "No Alignment.";
return "\n" + "Errors:\t" + (optimalError_post+optimalError_pre) + "\n" + "Score:\t" + (optimalScore_post+optimalScore_pre);
}
/*********************************************************
****************** PUBLIC CLASS METHODS *****************
*********************************************************/
/*********************************************************
****************** PRIVATE INSTANCE METHODS *************
*********************************************************/
/**
* Align region after seed.
*/
private void postAlign() {
// Initialize first row and column in table
if ((stop1 >= seq1.length()) || (stop2 >= seq2.length())) {
optimalScore_post = 0;
optimalError_post = 0;
optimalRow_post = -2;
return;
}
table[0][0] = mismatch(stop1, stop2)*qualities[stop2];
errors[0][0] = mismatch(stop1, stop2);
int j = 0;
for (j=1; j<Math.min(numErrors+1, seq2.length()-stop2); j++) { // First row
int gapLeft = table[0][j-1] + qualities[stop2+j];
int match = j*qualities[stop2+j] + mismatch(stop1, stop2+j)*qualities[stop2+j];
if (optimalError_pre + errors[0][j-1]+1 > numErrors) gapLeft = Integer.MAX_VALUE;
if (optimalError_pre + j+mismatch(stop1, stop2+j) > numErrors) match = Integer.MAX_VALUE;
int minimum = Math.min(gapLeft, match);
table[0][j] = minimum;
if (match == minimum) {
errors[0][j] = j + mismatch(stop1, stop2+j);
} else { // Gap left
errors[0][j] = errors[0][j-1] + 1;
}
}
for (int i=1; i<Math.min(numErrors+1, seq1.length()-stop1); i++) { // First column
int gapAbove = table[i-1][0] + qualities[stop2];
int match = i*qualities[stop2] + mismatch(stop1+i, stop2)*qualities[stop2];
if (optimalError_pre + errors[i-1][0]+1 > numErrors) gapAbove = Integer.MAX_VALUE;
if (optimalError_pre + i+mismatch(stop1+i, stop2) > numErrors) match = Integer.MAX_VALUE;
int minimum = Math.min(gapAbove, match);
table[i][0] = minimum;
if (match == minimum) {
errors[i][0] = i + mismatch(stop1+i, stop2);
} else { // Gap above
errors[i][0] = errors[i-1][0] + 1;
}
}
// Check if this is optimal alignment (i.e., final column in table)
if (stop2 == seq2.length()-1) { // Only one column in table
optimalScore_post = table[0][0];
optimalRow_post = 0;
optimalCol_post = 0;
optimalError_post = errors[0][0];
for (int i=1; i<Math.min(numErrors+1, seq1.length()-stop1); i++) {
if (table[i][0] < optimalScore_post) {
optimalScore_post = table[i][0];
optimalRow_post = i;
optimalCol_post = 0;
optimalError_post = errors[i][0];
}
}
} else if (stop2+j-1 == seq2.length()-1) {
optimalScore_post = table[0][j-1];
optimalRow_post = 0;
optimalCol_post = j-1;
optimalError_post = errors[0][j-1];
}
// Populate table
for (int i=1; i<Math.min(seq2.length()-stop2+numErrors, seq1.length()-stop1); i++) {
for (j=Math.max(i-numErrors, 1); j<Math.min(i+numErrors+1, seq2.length()-stop2); j++) {
int gapLeft = Integer.MAX_VALUE;
int gapAbove = Integer.MAX_VALUE;
int gapLeft_errors = Integer.MAX_VALUE;
int gapAbove_errors = Integer.MAX_VALUE;
if (j == i-numErrors) { // Left table entry is unavailable
gapAbove = table[i-1][j] + qualities[stop2+j];
gapAbove_errors = errors[i-1][j] + 1;
} else if (j == i+numErrors) { // Above table entry is unavailable
gapLeft = table[i][j-1] + qualities[stop2+j];
gapLeft_errors = errors[i][j-1] + 1;
} else { // Both left and above table entries are available
gapAbove = table[i-1][j] + qualities[stop2+j];
gapLeft = table[i][j-1] + qualities[stop2+j];
gapAbove_errors = errors[i-1][j] + 1;
gapLeft_errors = errors[i][j-1] + 1;
}
int match = table[i-1][j-1] + mismatch(stop1+i, stop2+j)*qualities[stop2+j];
int match_errors = errors[i-1][j-1] + mismatch(stop1+i, stop2+j);
if ((match_errors < gapAbove_errors) || (gapLeft_errors < gapAbove_errors) || (gapAbove_errors + optimalError_pre > numErrors)) gapAbove = Integer.MAX_VALUE;
if ((match_errors < gapLeft_errors) || (gapAbove_errors < gapLeft_errors) || (gapLeft_errors + optimalError_pre > numErrors)) gapLeft = Integer.MAX_VALUE;
if ((gapAbove_errors < match_errors) || (gapLeft_errors < match_errors) || (match_errors + optimalError_pre > numErrors)) match = Integer.MAX_VALUE;
int minimum = min(match, gapAbove, gapLeft);
// Assign value to table
table[i][j] = minimum;
if (match == minimum) {
errors[i][j] = errors[i-1][j-1] + mismatch(stop1+i, stop2+j);
} else if (gapAbove == minimum) {
errors[i][j] = errors[i-1][j] + 1;
} else if (gapLeft == minimum) {
errors[i][j] = errors[i][j-1] + 1;
} else {
// Impossible case. Do nothing.
}
// Check if this is optimal alignment (i.e., final column in table)
if ((stop2 + j == seq2.length()-1) && (table[i][j] < optimalScore_post)) {
optimalScore_post = table[i][j];
optimalRow_post = i;
optimalCol_post = j;
optimalError_post = errors[i][j];
}
}
}
}
/**
* Align region before seed.
*/
private void preAlign() {
// Initialize first row and column in table
if ((start1 < 0) || (start2 < 0)) {
optimalScore_pre = 0;
optimalError_pre = 0;
optimalRow_pre = -2;
return;
}
table[0][0] = mismatch(start1, start2)*qualities[start2];
errors[0][0] = mismatch(start1, start2);
int j = 0;
for (j=1; j<Math.min(numErrors+1, start2+1); j++) { // First row
int gapLeft = table[0][j-1] + qualities[start2-j];
int match = j*qualities[start2-j] + mismatch(start1, start2-j)*qualities[start2-j];
if (optimalError_post + errors[0][j-1]+1 > numErrors) gapLeft = Integer.MAX_VALUE;
if (optimalError_post + j+mismatch(start1, start2-j) > numErrors) match = Integer.MAX_VALUE;
int minimum = Math.min(gapLeft, match);
table[0][j] = minimum;
if (match == minimum) {
errors[0][j] = j + mismatch(start1, start2-j);
} else { // Gap left
errors[0][j] = errors[0][j-1] + 1;
}
}
for (int i=1; i<Math.min(numErrors+1, start1+1); i++) { // First column
int gapAbove = table[i-1][0] + qualities[start2];
int match = i*qualities[start2] + mismatch(start1-i, start2)*qualities[start2];
if (optimalError_post + errors[i-1][0]+1 > numErrors) gapAbove = Integer.MAX_VALUE;
if (optimalError_post + i+mismatch(start1-i, start2) > numErrors) match = Integer.MAX_VALUE;
int minimum = Math.min(gapAbove, match);
table[i][0] = minimum;
if (match == minimum) {
errors[i][0] = i + mismatch(start1-i, start2);
} else { // Gap above
errors[i][0] = errors[i-1][0] + 1;
}
}
// Check if this is optimal alignment (i.e., final column in table)
if (start2 == 0) { // Only one column in table
optimalScore_pre = table[0][0];
optimalRow_pre = 0;
optimalCol_pre = 0;
optimalError_pre = errors[0][0];
for (int i=1; i<Math.min(numErrors+1, start1+1); i++) {
if (table[i][0] < optimalScore_pre) {
optimalScore_pre = table[i][0];
optimalRow_pre = i;
optimalCol_pre = 0;
optimalError_pre = errors[i][0];
}
}
} else if (start2-j+1 == 0) {
optimalScore_pre = table[0][j-1];
optimalRow_pre = 0;
optimalCol_pre = j-1;
optimalError_pre = errors[0][j-1];
}
// Populate table
for (int i=1; i<Math.min(start2+1+numErrors, start1+1); i++) {
for (j=Math.max(i-numErrors, 1); j<Math.min(i+numErrors+1, start2+1); j++) {
int gapLeft = Integer.MAX_VALUE;
int gapAbove = Integer.MAX_VALUE;
int gapLeft_errors = Integer.MAX_VALUE;
int gapAbove_errors = Integer.MAX_VALUE;
if (j == i-numErrors) { // Left table entry is unavailable
gapAbove = table[i-1][j] + qualities[start2-j];
gapAbove_errors = errors[i-1][j] + 1;
} else if (j == i+numErrors) { // Above table entry is unavailable
gapLeft = table[i][j-1] + qualities[start2-j];
gapLeft_errors = errors[i][j-1] + 1;
} else { // Both left and above table entries are available
gapAbove = table[i-1][j] + qualities[start2-j];
gapLeft = table[i][j-1] + qualities[start2-j];
gapAbove_errors = errors[i-1][j] + 1;
gapLeft_errors = errors[i][j-1] + 1;
}
int match = table[i-1][j-1] + mismatch(start1-i, start2-j)*qualities[start2-j];
int match_errors = errors[i-1][j-1] + mismatch(start1-i, start2-j);
if ((match_errors < gapAbove_errors) || (gapLeft_errors < gapAbove_errors) || (gapAbove_errors + optimalError_post > numErrors)) gapAbove = Integer.MAX_VALUE;
if ((match_errors < gapLeft_errors) || (gapAbove_errors < gapLeft_errors) || (gapLeft_errors + optimalError_post > numErrors)) gapLeft = Integer.MAX_VALUE;
if ((gapAbove_errors < match_errors) || (gapLeft_errors < match_errors) || (match_errors + optimalError_post > numErrors)) match = Integer.MAX_VALUE;
int minimum = min(match, gapAbove, gapLeft);
// Assign value to table
table[i][j] = minimum;
if (match == minimum) {
errors[i][j] = errors[i-1][j-1] + mismatch(start1-i, start2-j);
} else if (gapAbove == minimum) {
errors[i][j] = errors[i-1][j] + 1;
} else if (gapLeft == minimum) {
errors[i][j] = errors[i][j-1] + 1;
} else {
// Impossible case. Do nothing.
}
// Check if this is optimal alignment (i.e., final column in table)
if ((start2 - j == 0) && (table[i][j] < optimalScore_pre)) {
optimalScore_pre = table[i][j];
optimalRow_pre = i;
optimalCol_pre = j;
optimalError_pre = errors[i][j];
}
}
}
}
/**
* Once an alignment score has been computed, the backtracking table is searched to
* determine a StringBuilder representation of the alignment.
*/
private void backtrack_post(StringBuilder s1_alignment, StringBuilder alignment, StringBuilder s2_alignment) {
// Begin backtracking search at optimal alignment score (found in last column in table)
int i = optimalRow_post;
int j = optimalCol_post; // Last column in table
// Backtrack through table to beginning of alignment
while ((i >= 0) || (j >= 0)) {
if (backtrack[i][j] == 2) { // Diagonal
s1_alignment.append(seq1.charAt(stop1+i));
alignment.append(getMatchMismatchChar(seq1.charAt(stop1+i), seq2.charAt(stop2+j)));
s2_alignment.append(seq2.charAt(stop2+j));
i--;
j--;
} else if (backtrack[i][j] == 3) { // Gap above
s1_alignment.append(seq1.charAt(stop1+i));
alignment.append(' ');
s2_alignment.append('-');
i--;
} else if (backtrack[i][j] == 1) { // Gap left
s1_alignment.append('-');
alignment.append(' ');
s2_alignment.append(seq2.charAt(stop2+j));
j--;
} else if (backtrack[i][j] == -1) { // DONE
s1_alignment.append(seq1.charAt(stop1+i));
alignment.append(getMatchMismatchChar(seq1.charAt(stop1+i), seq2.charAt(stop2+j)));
s2_alignment.append(seq2.charAt(stop2+j));
while (i != 0) { // We're in first column. Alignment begins with gaps.
s1_alignment.append(seq1.charAt(stop1+i-1));
alignment.append(' ');
s2_alignment.append('-');
i--;
}
while (j != 0) { // We're in first row. Alignment begins with gaps.
s1_alignment.append('-');
alignment.append(' ');
s2_alignment.append(seq2.charAt(stop2+j-1));
j--;
}
i--;
j--;
} else { // Impossible case.
Peregrine.output("\nThere was an error when backtracking.\n\n");
i = -1;
j = -1;
}
}
// Add seed region to alignment
i = stop1 - 1;
j = stop2 - 1;
while ((i > start1) && (j > start2)) {
s1_alignment.append(seq1.charAt(i));
alignment.append(getMatchMismatchChar(seq1.charAt(i), seq2.charAt(j)));
s2_alignment.append(seq2.charAt(j));
i--;
j--;
}
// Reverse the alignment
s1_alignment.reverse();
alignment.reverse();
s2_alignment.reverse();
}
/**
* Once an alignment score has been computed, the backtracking table is searched to
* determine a StringBuilder representation of the alignment.
*/
private void backtrack_pre(StringBuilder s1_alignment, StringBuilder alignment, StringBuilder s2_alignment) {
// Begin backtracking search at optimal alignment score (found in last column in table)
int i = optimalRow_pre;
int j = optimalCol_pre; // Last column in table
// Backtrack through table to beginning of alignment
while ((i >= 0) || (j >= 0)) {
if (backtrack[i][j] == 2) { // Diagonal
s1_alignment.append(seq1.charAt(start1-i));
alignment.append(getMatchMismatchChar(seq1.charAt(start1-i), seq2.charAt(start2-j)));
s2_alignment.append(seq2.charAt(start2-j));
i--;
j--;
} else if (backtrack[i][j] == 3) { // Gap above
s1_alignment.append(seq1.charAt(start1-i));
alignment.append(' ');
s2_alignment.append('-');
i--;
} else if (backtrack[i][j] == 1) { // Gap left
s1_alignment.append('-');
alignment.append(' ');
s2_alignment.append(seq2.charAt(start2-j));
j--;
} else if (backtrack[i][j] == -1) { // DONE
s1_alignment.append(seq1.charAt(start1-i));
alignment.append(getMatchMismatchChar(seq1.charAt(start1-i), seq2.charAt(start2-j)));
s2_alignment.append(seq2.charAt(start2-j));
while (i != 0) { // We're in first column. Alignment begins with gaps.
s1_alignment.append(seq1.charAt(start1-i+1));
alignment.append(' ');
s2_alignment.append('-');
i--;
}
while (j != 0) { // We're in first row. Alignment begins with gaps.
s1_alignment.append('-');
alignment.append(' ');
s2_alignment.append(seq2.charAt(start2-j+1));
j--;
}
i--;
j--;
} else { // Impossible case.
Peregrine.output("\nThere was an error when backtracking.\n\n");
i = -1;
j = -1;
}
}
}
/**
* Returns 1 if the characters at the specified indices in
* the two sequences mismatch.
* Returns 0 if the characters at the specified indices in
* the two sequence are the same.
*/
private int mismatch(int x, int y) {
if (seq1.charAt(x) == seq2.charAt(y)) return 0;
return 1;
}
/**
* Returns an alignment character if the two specified characters are the same.
* Returns a space character otherwise.
*/
private char getMatchMismatchChar(char a, char b) {
if (a == b) return '|';
else return ' ';
}
/**
* Returns a String representation of a 2D integer array.
*/
private String tableToString_post(int[][] a) {
StringBuilder sb = new StringBuilder();
for (int j=0; j<seq2.length()-stop2; j++)
sb.append("\t" + seq2.charAt(stop2 + j));
sb.append("\n");
for (int i=0; i<seq1.length()-stop1; i++) {
sb.append(seq1.charAt(stop1 + i));
for (int j=0; j<seq2.length()-stop2; j++) {
sb.append("\t" + a[i][j]);
}
sb.append("\n");
}
return sb.toString();
}
/**
* Returns a String representation of a 2D integer array.
*/
private String tableToString_pre(int[][] a) {
StringBuilder sb = new StringBuilder();
for (int j=0; j<start2+1; j++)
sb.append("\t" + seq2.charAt(start2 - j));
sb.append("\n");
for (int i=0; i<start1+1; i++) {
sb.append(seq1.charAt(start1 - i));
for (int j=0; j<start2+1; j++) {
sb.append("\t" + a[i][j]);
}
sb.append("\n");
}
return sb.toString();
}
/**
* Returns the minimum of three integers.
*/
private int min(int a, int b, int c) {
return Math.min(a, Math.min(b, c));
}
/*********************************************************
****************** PRIVATE CLASS METHODS ****************
*********************************************************/
/**
* Reads in and returns a genomic sequence from the specified FASTA file.
*
* @param f a <code>File</code> object referring to a FASTA file containing a genomic sequence
* @return the genomic sequence read in from a FASTA file
*/
private static String readSequenceFromFile(File f) {
StringBuilder sequence = new StringBuilder();
try {
Scanner reader = new Scanner(f);
String header = reader.nextLine(); // Header line of FASTA file
if ((header.length() == 0) || (header.charAt(0) != '>')) {
Peregrine.output("Error - first line of file " + f + " is not in FASTA format.\n");
return sequence.toString();
}
while (reader.hasNext()) { // continue until we reach end of file
sequence.append(reader.nextLine());
}
reader.close();
} catch (FileNotFoundException e) {
Peregrine.output("Error - the file " + f + " could not be found and opened.\n");
return sequence.toString();
}
return sequence.toString();
}
/*********************************************************
****************** MAIN METHOD **************************
*********************************************************/
public static void main(String [] args) {
if (args.length < 2) {
System.err.println("\nWhen executing this program, please enter the name of two files,");
System.err.println("each containing a sequence. The program will align the two sequences.\n");
System.err.println("\tjava Alignment file1.txt file2.txt\n");
System.exit(0);
}
Alignment a = new Alignment(2, 100);
a.align(new File(args[0]), new File(args[1]));
System.out.println(a);
}
}
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