From 98a6bf1667c38f1215c92710cdb5aa08a6f4f60f Mon Sep 17 00:00:00 2001
From: selva <selvalakshmianand6@gmail.com>
Date: Tue, 15 Nov 2022 16:36:56 -0600
Subject: [PATCH] first commit

---
 kspectra.py | 60 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 60 insertions(+)
 create mode 100644 kspectra.py

diff --git a/kspectra.py b/kspectra.py
new file mode 100644
index 0000000..ee3b127
--- /dev/null
+++ b/kspectra.py
@@ -0,0 +1,60 @@
+#!/usr/bin/python
+#usage : python [input.fasta] [kmer_size] [X-limit for kmer_spectra] [title for kmer_spectra]
+
+import sys
+import argparse
+from Bio import SeqIO
+import matplotlib.pyplot as plt
+import pandas as pd
+
+parser = argparse.ArgumentParser()
+parser.add_argument('fasta', type=str)
+parser.add_argument('kmer_size',type=int)
+parser.add_argument('x_lim',type=int)
+parser.add_argument('title',type=str)
+args = parser.parse_args()
+
+#Count the number of kmers in a genome and save as a dictionary
+def kmer_count(fasta, kmer_size):
+    data = {}
+    for seq_record in SeqIO.parse(str(fasta),'fasta'):
+        length=len(seq_record)
+    for i in range(length - kmer_size + 1):
+        kmer = seq_record.seq[i: i + kmer_size]
+        try:
+            data[kmer] += 1
+        except KeyError:
+            data[kmer] = 1
+    return data
+
+#Measure kmer frequency in the genome and save as a dictionary
+def kmer_frequency(kmer_dataset):
+        coverage_frequency = {}
+        for coverage in kmer_dataset.values():
+            try:
+                coverage_frequency[coverage] += 1
+            except KeyError:
+                coverage_frequency[coverage] = 1
+        return coverage_frequency
+
+#Using kmer_count and kmer_frequency function to count the kmers and frequency
+df=kmer_count(args.fasta, args.kmer_size)
+df1= kmer_frequency(df)
+
+with open('kmer_frequency.txt','w') as data: 
+      data.write(str(df1))
+with open('kmer_count.txt','w') as data:
+      data.write(str(df))
+
+#Transform kmer to a dataframe for plotting kmer spectra
+test=pd.DataFrame(df1.items())
+test1=test[test[0]< args.x_lim]
+plt.bar(test1[0],test1[1],color='g', width =1)
+plt.ylabel('Frequency of appearance')
+plt.xlabel('Number of k-mers')
+plt.title(args.title)
+
+plt.savefig('kmer_spectra.png', dpi=900, bbox_inches='tight')
+
+
+args = parser.parse_args()