I am an aspiring data scientist working on building up my portfolio. My first of many projects was simply to understand the Python coding language. With the help of Rosalind, "a platform for learning bioinformatics and programming through problem solving," (https://rosalind.info/problems/locations/) I was able to do so. I plan to explore Python packages next--specifically those that are frequently used by data scientists.
I am interested in working with biological data with an eye towards global climate resiliency; this is why I chose to learn through Rosalind, which has a focus on biological data. However, moving forward, I plan to work with data that I feel is more applicable to my field. My long term goal is to work in biotech in order to address environmental issues.
Six lessons in basic Python.
Given: A DNA string s of length at most 1000 nt.
Return: Four integers (separated by spaces) counting the respective number of times that the symbols 'A', 'C', 'G', and 'T' occur in s.
My Code
Sample Data that I Worked With
Problem Description in Rosalind
Given: A DNA string t having length at most 1000 nt.
Return: The transcribed RNA string of t.
My Code
Sample Data that I Worked With
Results from Sample Data
Problem Description in Rosalind
Given: A DNA string s of length at most 1000 bp.
Return: The reverse complement sc of s.
My Code
Sample Data that I Worked With
Problem Description in Rosalind
Given: Positive integers n≤40 and k≤5.
Return: The total number of rabbit pairs that will be present after n months, if we begin with 1 pair and in each generation, every pair of reproduction-age rabbits produces a litter of k rabbit pairs (instead of only 1 pair).
My Code
Problem Description in Rosalind
Given: At most 10 DNA strings in FASTA format (of length at most 1 kbp each).
Return: The ID of the string having the highest GC-content, followed by the GC-content of that string. Rosalind allows for a default error of 0.001 in all decimal answers unless otherwise stated; please see the note on absolute error below.
My Code
Sample Data that I Worked With
Problem Description in Rosalind
Given: Two DNA strings s and t of equal length (not exceeding 1 kbp).
Return: The Hamming distance dH(s,t).
My Code
Sample Data that I Worked With
Problem Description in Rosalind
Given: Three positive integers k, m, and n, representing a population containing k+m+n organisms: k individuals are homozygous dominant for a factor, m are heterozygous, and n are homozygous recessive.
Return: The probability that two randomly selected mating organisms will produce an individual possessing a dominant allele (and thus displaying the dominant phenotype). Assume that any two organisms can mate.
My Code
Problem Description in Rosalind
Given: An RNA string s corresponding to a strand of mRNA (of length at most 10 kbp).
Return: The protein string encoded by s.
My Code
Sample Data that I Worked With
Problem Description in Rosalind
Given: Two DNA strings s and t (each of length at most 1 kbp).
Return: All locations of t as a substring of s.
My Code
Sample Data that I Worked With
Problem Description in Rosalind
Given: A collection of at most 10 DNA strings of equal length (at most 1 kbp) in FASTA format.
Return: A consensus string and profile matrix for the collection. (If several possible consensus strings exist, then you may return any one of them.)
My Code
Sample Data that I Worked With
Problem Description in Rosalind
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