java-projects/dna/DNA.java

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import java.util.*;
import java.io.*;
import java.text.*;
public class DNA {
int MIN_CODONS = 5; //the minimum number of codons a valid protein must have
int MIN_MASS_PERCENT = 30; // the percentage of mass from C and G in order for a protein to be valid
int UNIQUE_NUCLEOTIDES = 4; // the number of unique nucleotides (representing A, C, G, and T)
public static final int CODONS_PER_NUCLEOTIDE = 3; // the number of nucleotides per codon
public static final String INPUT_DIR = "input/"; // the number of nucleotides per codon
public static final String OUTPUT_DIR = "output/"; // the number of nucleotides per codon
public static final boolean DEBUG = false; // controls print statements for debugging
public static final double[] MOLAR_MASSES = {135.128, 111.103, 151.128, 125.107, 100.00};
public static final char[] NUCLEOTIDES = {'A', 'T', 'G', 'C', '-'};
/*
*
* begins with an introduction and prompts for input and output file names.
* reads the input file to process its nucleotide sequences.
* outputs the results into the given output file.
*
* @return void
*
*/
public static void main(String[] args) throws FileNotFoundException {
Scanner console = new Scanner(System.in);
String[] files = promptForFileNames(console);
File inFile = new File(INPUT_DIR + files[0]);
File outFile = new File(OUTPUT_DIR + files[1]);
if( inFile.canRead() && inFile.exists() ) {
Scanner input = new Scanner(inFile);
int sequenceCount = linesInFile(inFile) / 2;
String[] sequences = new String[sequenceCount];
String[] sequenceNames = new String[sequenceCount];
int lineCount = 1;
int sequenceIndex = 0;
while( input.hasNextLine() ) {
String line = input.nextLine();
if ( lineCount % 2 == 0 ) {
sequences[sequenceIndex] = line.toUpperCase();
sequenceIndex++;
}
else {
sequenceNames[sequenceIndex] = line;
}
lineCount++;
}
PrintStream output = new PrintStream(outFile);
saveOutput(sequences, sequenceNames, output);
//output = System.out;
//saveOutput(sequences, sequenceNames, output);
}
}
/*
*
* Saves output to file using PrintStream as described in Section 6.4 of the textbook.
* overwrites any existing data in the output file (this is the default PrintStream behavior).
* nucleotide sequence is output in uppercase
* the nucleotide counts and mass percentages are shown in A, C, G, T order.
*
* @params path String path of output filename
* @return void;
*
*/
public static void saveOutput(String[] sequences, String[] names, PrintStream output) {
for( int i = 0; i < sequences.length; i++) {
output.print("Region Name: ");
output.println(names[i]);
output.print("Nucleotides: ");
output.println(sequences[i]);
output.print("Nuc. Counts: ");
output.println(Arrays.toString(nucleotideCountFromSequence(sequences[i])));
output.print("Total Mass%: ");
output.print(Arrays.toString(nucleotideMassPercentFromSequence(sequences[i])));
output.println(" of " + totalMassFromSequence(sequences[i]));
output.print("Codons List: ");
output.println(Arrays.toString(codonsFromSequence(sequences[i])));
output.print("Is Protein?: ");
if(isProtein(sequences[i])) {
output.println("YES");
}
else {
output.println("NO");
}
output.println();
}
}
// return boolean test for protein sequence
public static boolean isProtein(String sequence) {
double[] masses = nucleotideMassPercentFromSequence(sequence);
if(masses[nucleotideIndexFromChar('G')] + masses[nucleotideIndexFromChar('C')] <= 30 )
{
return false;
}
String[] codons = codonsFromSequence(sequence);
if( ! codons[0].equals("ATG"))
{
return false;
}
if(! codons[codons.length - 1].equals("TAA") && ! codons[codons.length - 1].equals("TAG") && ! codons[codons.length - 1].equals("TGA"))
{
return false;
}
if(codons.length < 5)
{
return false;
}
return true;
}
// non junk masses from sequence
public static double[] nucleotideMassesFromSequence(String sequence) {
double[] masses = new double[4];
int[] counts = nucleotideCountFromSequence(sequence);
DecimalFormat df = new DecimalFormat("#.##");
for(int i = 0; i < masses.length; i++) {
masses[i] = Double.valueOf(df.format(counts[i] * MOLAR_MASSES[i]));
}
return masses;
}
// non junk mass percentages from sequence
public static double[] nucleotideMassPercentFromSequence(String sequence) {
double[] masses = nucleotideMassesFromSequence(sequence);
double total = totalMassFromSequence(sequence);
double[] percentages = new double[4];
DecimalFormat df = new DecimalFormat("#.##");
for(int i = 0; i < percentages.length; i++) {
percentages[i] = Double.valueOf(df.format(masses[i] / total * 100));
}
return percentages;
}
// all mass of sequence, junk too
public static double totalMassFromSequence(String sequence) {
DecimalFormat df = new DecimalFormat("#.#");
double total = 0.0;
double[] masses = new double[MOLAR_MASSES.length];
int[] counts = new int[MOLAR_MASSES.length];
for(int i = 0; i < counts.length; i++) {
counts[i] = nucleotideCount(sequence, NUCLEOTIDES[i]);
}
for(int i = 0; i < masses.length; i++) {
masses[i] = Double.valueOf(df.format(counts[i] * MOLAR_MASSES[i]));
}
for(int i = 0; i < masses.length; i++) {
total += masses[i];
}
return Double.valueOf(df.format(total));
}
// count of char nulceotide in sequence
public static int nucleotideCount(String sequence, char nucleotide) {
int count = 0;
for(int i = 0; i < sequence.length(); i++) {
if( sequence.charAt(i) == nucleotide) {
count++;
}
}
return count;
}
/*
*
* Converts char nucleotide to molar mass
*
* mass percentages, use the following as the mass of each nucleotide (grams/mol).
* "junk" regions are excluded from many parts of your computations, but they do contribute mass to the total.
* Adenine (A): 135.128
* Cytosine (C): 111.103
* Guanine (G): 151.128
* Thymine (T): 125.107
* Junk (-): 100.000
*
* @params nucleotide char of nucleotide.
* @return molarMass rounded to nearest tenth.
*
*/
public static double nucleotideToMolarMass(char nucleotide) {
return MOLAR_MASSES[nucleotideIndexFromChar(nucleotide)];
}
/*
*
* pass over a nucleotide sequence and count the number of As, Cs, Gs, and Ts.
* uses a String.charAt to get individual characters.
*
* @params sequence sequence of
* @return counts array of size 4.
*
*/
public static int[] nucleotideCountFromSequence(String sequence) {
int[] counts = new int[4];
for(int i = 0; i < sequence.length(); i++) {
counts[nucleotideIndexFromChar(sequence.charAt(i))]++;
}
return counts;
}
/*
*
* converts a single character (i.e. A, C, T, G) into indices (i.e. 0 to 3).
* includes junk character
*
* @params nucleotide char of nucleotide.
* @return index int mapping of nucleotide.
*
*/
public static int nucleotideIndexFromChar(char nucleotide) {
int index = 0;
if(nucleotide == 'a' || nucleotide =='A') {
index = 0;
}
if(nucleotide == 'c' || nucleotide =='C') {
index = 1;
}
if(nucleotide == 'g' || nucleotide =='G') {
index = 2;
}
if(nucleotide == 't' || nucleotide =='T') {
index = 3;
}
if(nucleotide == '-') {
index = 4;
}
return index;
}
/*
*
* eliminate these characters.
*
* @params sequence raw sequence
* @return sequence without junk DNA '-'.
*
*/
public static String removeJunk(String sequence) {
String newSequence = "";
for(int i = 0; i < sequence.length(); i++) {
if(sequence.charAt(i) != '-') {
newSequence += sequence.charAt(i);
}
}
return newSequence;
}
/*
*
* break apart the sequence into codons and examine each codon.
*
* @params sequence String of nucleotides or raw.
* @return codons Array of strings of codons.
*
*/
public static String[] codonsFromSequence(String sequence) {
int count = sequence.length() / CODONS_PER_NUCLEOTIDE;
String[] codons = new String[count];
//String[] codons = new String[sequence.length / CODONS_PER_NUCLEOTIDE + 1];
String current = "";
int index = 0;
for(int i = 0; i < sequence.length(); i++) {
current += sequence.charAt(i);
if((i + 1) % CODONS_PER_NUCLEOTIDE == 0 ) {
codons[index] = current;
index++;
current = "";
}
}
return codons;
}
/*
*
* assumes the user will type the name of an existing input file.
* input is in the proper format.
*
* @params console
* @return files array of input and output files for processing and saving
*
*/
public static String[] promptForFileNames(Scanner console) {
System.out.println("This program reports information about DNA");
System.out.println("nucleotide sequences that may encode");
System.out.println("proteins.");
if(DEBUG == true) {
String[] files = {"dna.txt", "dna.txt"};
return files;
}
System.out.print("Input file name? ");
String[] files = new String[2];
files[0] = console.nextLine();
while( ! validFilename(files[0]) ) {
System.out.print("Input file name? ");
files[0] = console.nextLine();
}
System.out.print("Output file name? ");
files[1] = console.nextLine();
while( ! validFilename(files[1]) ) {
System.out.println("Invalid. Try again.");
System.out.print("Output file name?");
files[1] = console.nextLine();
}
System.out.println();
return files;
}
//count of lines in file
public static int linesInFile(File file) throws FileNotFoundException {
int count = 1;
Scanner input = new Scanner(file);
while( input.hasNextLine() ) {
String line = input.nextLine();
count++;
}
return count;
}
//all files are valid
public static boolean validFilename(String name) {
return true;
}
}