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 ## Part A - seq function
 
-### a: Create a vector where the first element is 1, the last element is 33, with an increment of 2 between elements.
+### a:  
+Create a vector where the first element is 1, the last element is 33, with an increment of 2 between elements.
 
-### b: Create a vector with 15 equally spaced elements in which the first element is 7 and the last element is 40. Hint: use ?seq for help and the option length.out option.
+### b:  
+Create a vector with 15 equally spaced elements in which the first element is 7 and the last element is 40. Hint: use ?seq for help and the option length.out option.
 
-### c: Use the sample function to create a vector with variable name my.dna that consists of 20 uniformly-random letters “A”, “C”, “G”, and “T”.
+### c:  
+Use the sample function to create a vector with variable name my.dna that consists of 20 uniformly-random letters “A”, “C”, “G”, and “T”.
 
-### d: Use the == logic operator and other R functions on your my.dna variable to determine how many of the letters are “A”. Hint: you can use sum on a TRUE/FALSE vector or you can use the functions which and length. 
+###d:  
+Use the == logic operator and other R functions on your my.dna variable to determine how many of the letters are “A”. Hint: you can use sum on a TRUE/FALSE vector or you can use the functions which and length. 
 
-### e: Confirm your answer in d with the table(my.dna). From the output of table, create a pie chart and barplot. Add x and y labels to your barplot.
+### e:   
+Confirm your answer in d with the table(my.dna). From the output of table, create a pie chart and barplot. Add x and y labels to your barplot.
 
-### f: Use the sample function with the option prob=c(.1,.4,.4,.1)to create a vector with variable name my.dna2 that consists of 20 non-uniformly random letters “A”, “C”, “G”, and “T”.  Use table to show the nucleotide counts.
+### f:  
+Use the sample function with the option prob=c(.1,.4,.4,.1)to create a vector with variable name my.dna2 that consists of 20 non-uniformly random letters “A”, “C”, “G”, and “T”.  Use table to show the nucleotide counts.
 
 ## Part B: NCBI Search
 
-### Setup: Search NCBI (http://www.ncbi.nlm.nih.gov/) for “Alzheimer human.” This will take you to Entrez gene, which shows you the hits in the NCBI databases.  Choose the top hit for Alzheimer under “Gene” information. 
+### Setup:  
+Search NCBI (http://www.ncbi.nlm.nih.gov/) for “Alzheimer human.” This will take you to Entrez gene, which shows you the hits in the NCBI databases.  Choose the top hit for Alzheimer under “Gene” information. 
 
-### 1. What is the name of the gene?
+### 1.   
+What is the name of the gene?
 
-### 2. What chromosome is the gene on?
+### 2.  
+What chromosome is the gene on?
 
-### 3. What species has the most similar gene to the human version?
+### 3.   
+What species has the most similar gene to the human version?
 
 ## Part C: Reading fasta files, nucleotide and dinucleotide frequencies
 
 ### Setup: 
-	Install and load the seqnir library  
-	Download the fasta file found from Part B  
-	Read the fasta file in as a string
+Install and load the seqnir library  
+Download the fasta file found from Part B  
+Read the fasta file in as a string  
 
-### 1. What data type is the fasta?
+### 1.  
+What data type is the fasta?
 
-### 2. Create a function that converts the fasta string to a vector
+### 2.   
+Create a function that converts the fasta string to a vector
 
-### 3. Using the function from C.2, how long is the sequence?
+### 3.   
+Using the function from C.2, how long is the sequence?
 
-### 4. Show the first 20 nucleotides of the sequence
+### 4.   
+Show the first 20 nucleotides of the sequence
 
-### 5. How many of each nucleotide are there in the sequence?
+### 5.   
+How many of each nucleotide are there in the sequence?
 
-### 6. Create a barplot of the counts, including axes labels
+### 6.   
+Create a barplot of the counts, including axes labels
 
-### 7. Calculate the probability of each nucleotide
+### 7.   
+Calculate the probability of each nucleotide
 
 ## Part D: GC Content
 
-### 1. Add code to your R script to calculate the G+C content of the fasta vector
+### 1.   
+Add code to your R script to calculate the G+C content of the fasta vector
 
-### 2. How many gc pairs are there?
+### 2.   
+How many gc pairs are there?
 
-### 3. Show a barplot of all dinucleotide counts
+### 3.   
+Show a barplot of all dinucleotide counts
 
 ## Part E: Coronavirus
 
 ### Setup  
-	Paper: https://www.ncbi.nlm.nih.gov/pubmed/32015508  
-	DNA/RNA: https://www.ncbi.nlm.nih.gov/nuccore/MN908947.3?report=fasta  
-	Protein: https://www.ncbi.nlm.nih.gov/protein/QHD43415.1?report=fasta  
+Paper: https://www.ncbi.nlm.nih.gov/pubmed/32015508  
+DNA/RNA: https://www.ncbi.nlm.nih.gov/nuccore/MN908947.3?report=fasta  
+Protein: https://www.ncbi.nlm.nih.gov/protein/QHD43415.1?report=fasta  
 
-
-### 1. Download the DNA/RNA fasta file and determine the nucleotide frequencies. Comment on how the frequencies compare with the human APOE gene.
+### 1.  
+Download the DNA/RNA fasta file and determine the nucleotide frequencies. Comment on how the frequencies compare with the human APOE gene.