Page 1 CSCI-570 Fall 2025
Final Project
Due: Dec 10, 2025
The project is on the implementation of the two different solutions discussed in class for the Sequence Alignment problem. You will work on this project in groups of 4 or 5 assigned to you on Brightspace. Plagiarism of any kind will be strictly monitored & reported as violation of academic integrity.
I. Project Description
Implement the two solutions to the Sequence Alignment problem - the basic version using Dynamic programming, and the memory efficient version which combines DP with Divide-n-conquer. Run the test set provided and show your results.
A. Problem review
Suppose we are given two strings
The similarity between
First, there is a parameter
Second, for each pair of letters
Page 2 not be necessary in anything that follows.
Finally, the cost of
In order to potentially work with long strings as test inputs, we use a string generation method. Thus, any input to the program would be generated using a provided text file as follows:
First line has a base string - let's call it
Page 3 Consider the following input as example:
ACTG
3 6 1
TACG
1 2 9
Following is the step by step process on how the final two strings are generated.
First base string: ACTG
Insertion after index 3: ACTGACTG
Insertion after index 6: ACTGACTACTGACTGG
Insertion after index 1:ACACTGACTACTGACTGGTGACTACTGACTGG
Similarly,
TACG
TATACGCG
TATTATACGCGACGCG
TATTATACGCTATTATACGCGACGCGGACGCG
Thus, using the inputs above, the generated strings are ACACTGACTACTGACTGGTGACTACTGACTGG and TATTATACGCTATTATACGCGACGCGGACGCG which now need to be aligned.
C. Values for Delta and Alphas
Values for α’s are as follows. δ is equal to 30.
A C G T A 0 110 48 94 C 110 0 118 48 G 48 118 0 110 T 94 48 110 0 Page 4 D. Programming/Scripting Languages
Following are the list of languages which could be used:
C C++ Java Python3 E. Bounds
Basic Algorithm 0 <= j, k <= 10 1 <= len(s₀), len(t₀) <= 2000 The values will also ensure that 1 <= len(sⱼ), len(tₖ) <= 2000
Memory Efficient Algorithm 0 <= j, k <= 20 1 <= len(s₀), len(t₀) <= 20000 1 <= len(sⱼ), len(tₖ) <= 20000
II. Final output and submission format
A. Your program should take 2 arguments
input file path
output file path (If path is valid and file not found, your program should create it)
java Basic input.txt output.txt
python3 basic.py input.txt output.txt
Note: As mentioned in Part II-B, input file will have data to generate input strings. Since Gap penalty (δ) and Mismatch penalties (αpq) are FIXED, you have to hardcode them in your program.
You are not allowed to use any libraries that may be directly applicable to sequence alignment problem.
B. Implement the basic version of the solution. Your program should print the following information at the respective lines in output file:
Page 5 Cost of the alignment (Integer) First string alignment ( Consists of A, C, T, G, _ (gap) characters ) Second string alignment ( Consists of A, C, T, G, _ (gap) characters ) Time in Milliseconds (Float) Memory in Kilobytes (Float) Note: There can be multiple solutions which have the same cost. You can print ANY of them as generated by your program. The only condition is, it should have a minimum cost.
E.g., For strings A and C, alignments A_, _C and A, C both have alignment cost 60 which is minimum (indeed, in this case, they represent the same matching in two different ways). You can print any one of them.
C. Implement the memory efficient version of this solution and repeat the tests as in Part B and produce output in the same format.
D. Plot the results of Part B and Part C using a line graph:
(Please use the provided input files in the ‘datapoints’ folder for generating the data points to plot the graph.)
Single plot of CPU time vs problem size for the two solutions. Single plot of Memory usage vs problem size for the two solutions. Units: CPU time - milliseconds, Memory in KB, problem size m+n III. Submission
A. You should submit the ZIP file containing the following files. a. Basic algorithm file Name of the program file should be ‘basic.c’ / ‘basic.cpp’ / ‘Basic.java’ / ‘basic.py’ b. Memory efficient algorithm file Name of the program file should be ‘efficient.c’ / ‘efficient.cpp’ / ‘Efficient.java’ / ‘efficient.py’ c. Summary.pdf It must contain following details 1. datapoints output table (which are generated from provided input files) 2. Two graphs and your insights from them
Page 6 Contribution from each group member, e.g., coding, testing, report etc. if everyone did not have equal contribution. (Please use the provided Summary.docx file, fill in the details and upload it as PDF) d. 2 Shell files ‘basic.sh’ and ‘efficient.sh’ with the commands to compile and run your basic and efficient version. These are needed to provide you flexibility in passing any additional compiler/run arguments that your programs might need. See More Hints (VII part E for more details)
basic.sh
javac Basic.java java Basic "$1" "$2" Execution: ./basic.sh input.txt output.txt ./efficient.sh input.txt output.txt
B. The name of your zip file should have the USC IDs (not email ids) of everyone in your group separated by underscore. The zip file structure will look like
1234567891_1234567892_1234567893.zip 1234567891_1234567892_1234567893 basic.py efficient.py Summary.pdf basic.sh efficient.sh IV. Grading Please read the following instructions to understand how your submission will be evaluated.
A. Correctness of algorithms - 70 points 1. Both programs (basic/ efficient) are correctly outputting file having all 5 lines in correct order: 15 points 2. Basic Algorithm: 25 points 3. Memory Efficient Algorithm: 30 points
Page 7 Note: The goal of Part A is to check the correctness of alignment having minimum cost. Memory and Time will be evaluated in Part B.
B. Plots, analysis of results, insights and observations: 30 points
Your program will be run on the input files (provided by us in the ‘data points’ folder) to generate output files. The memory and time in the output files should reasonably match what you submitted in the Summary.pdf Correctness of the graph Correctness of analysis/ insights Note: Unlike Part A, evaluation of Part B is subjective so it will be done manually. So it is alright if your graphs/data points have ‘some’ outliers etc.
V. What is provided to you in the zip file?
A. SampleTestCases folder containing sample input and output files B. Datapoint folder containing files to generate graph data points. C. Summary.docx file as template
VI. HINTS, NOTES, and FAQs
A. Regarding Input and string generation
We will never give an invalid input to your program. Input strings will only contain A, C, G, T. The insertion indices in the input will be valid numbers. The string generation mechanism is the same irrespective of the basic or the efficient version of the algorithm. The entire program (string generation, solution, write output) should be written in a single file. You may break those functions in different classes to make the code modular, but there should be only one file for consistency of submissions. B. Regarding Algorithm and output
We strongly recommend to refer to lecture slides for the algorithm overview, and NOT THE PSEUDOCODE PROVIDED IN KLEINBERG AND TARDOS textbook. In our prior experience, students opting for the latter reported lots of difficulties in implementation. DO NOT USE ANY LIBRARIES FOR WRITING YOUR ALGORITHMS barring Page 8 the standard ones. If you are really unsure, ask us on piazza.
Samples for time and memory calculation are provided. Please use them for consistency. Your solutions for the regular and memory-efficient algorithms should be in two different programs. There can be multiple valid sequences with the same optimal cost, you can output any of those. All of them are valid. You should code both the basic version and memory-efficient algorithm. Even though the memory-efficient version will pass all the bounds of the simple version, you must not use the memory-efficient version in both of the sub-problems, otherwise the plots will not show the expected distinctions. Your program must not print anything when it runs, only write to the output file. There is no specific requirement for the precision of Time and Memory float values. Time and Memory depend on so many factors such as CPU, Operating System, etc. So there might be differences in the output. Therefore, it will be evaluated subjectively. There must be a clear distinction in behavior between programs whose Time/ Memory complexity is O(n) vs O(n²) vs O(logn) etc. C. Regarding the plot
Both the graphs are line graphs. X-axis represents problem size as m+n, where m and n are lengths of the generated input strings. Y-axis of Memory plot represents memory in KB. Y-axis of Time Plot represents time in milliseconds. The 2 lines in the graph will represent stats of basic and memory-efficient algorithms. You can use any libraries/packages in any language to plot the graphs. You do not have to provide code for generating the plots. Only add images in the Summary.pdf D. Regarding Submission
Only 1 person in the group should submit the project. We will get the USC IDs of all the other team members from the filenames. To allow for grading the whole class in a reasonable amount of time, we will kill your program if it is stuck on a single input file for long (~few minutes). Page 9 E. Regarding Shell File
To make the evaluation seamless on our end, please make sure you also have a shell script named ‘basic.sh’ and ‘efficient.sh’ with the commands required to run your program. For example, the contents of this file can be one of the following:
C
basic.sh gcc basic.c ./a.out "$1" "$2" efficient.sh gcc efficient.c ./a.out "$1" "$2" C++
basic.sh g++ basic.cpp ./a.out "$1" "$2" efficient.sh g++ efficient.cpp ./a.out "$1" "$2" Java
basic.sh javac Basic.java java Basic "$1" "$2" efficient.sh javac Efficient.java java Efficient "$1" "$2" python
basic.sh python3 basic.py "$1" "$2" efficient.sh python3 efficient.py "$1" "$2" Note that the above are just examples. You can modify them as per your convenience. The goal is to have a language-independent mechanism to get your outputs.
Page 10 F. Sample code for memory and time calculation
Python
import sys from resource import * import time import psutil
def process_memory(): process = psutil.Process() memory_info = process.memory_info() memory_consumed = int(memory_info.rss/1024) return memory_consumed
def time_wrapper(): start_time = time.time() call_algorithm() end_time = time.time() time_taken = (end_time - start_time)*1000 return time_taken Java
private static double getMemoryInKB() { double total = Runtime.getRuntime().totalMemory(); return (total-Runtime.getRuntime().freeMemory())/10e3; }
private static double getTimeInMilliseconds() { return System.nanoTime()/10e6; }
double beforeUsedMem=getMemoryInKB(); double startTime = getTimeInMilliseconds();
alignment = basicSolution(firstString, secondString, delta, alpha);
double afterUsedMem = getMemoryInKB(); double endTime = getTimeInMilliseconds();
double totalUsage = afterUsedMem-beforeUsedMem; double totalTime = endTime - startTime;
c C/C++
#include <sys/resource.h> #include <errno.h> #include <stdio.h>
extern int errno;
// getrusage() is available in linux. Your code will be evaluated in Linux OS. long getTotalMemory() { struct rusage usage; int returnCode = getrusage(RUSAGE_SELF, &usage); if(returnCode == 0) { return usage.ru_maxrss; } else { //It should never occur. Check man getrusage for more info to debug. // printf("error %d", errno); return -1; } }
int main() {
struct timeval begin, end; gettimeofday(&begin, 0);
//write your solution here
//Please call getTotalMemory() only after calling your solution function. It calculates max memory used by the program.
double totalmemory = getTotalMemory(); gettimeofday(&end, 0);
long seconds = end.tv_sec - begin.tv_sec;
long microseconds = end.tv_usec - begin.tv_usec; double totaltime = seconds*1000 + microseconds*1e-3; printf("%f\n", totaltime);
printf("%f\n", totalmemory);
}