This program analyzes a DNA sequence and outputs snippets of DNA that are likely to be protein-coding genes.

Overview

The Gene_finder program

This program is designed to manipulate data from DNA and find the genes that are encoded by the DNA sequence. It contains 11 independent functions.These functions are :

  • get_complement(nucleotide)

    • Returns the complementary nucleotide nucleotide: a nucleotide (A, C, G, or T) represented as a string returns: the complementary nucleotide get_complement('A') 'T'
  • get_reverse_complement(dna)

    • Computes the reverse complementary sequence of DNA for the specfied DNA sequence
  • rest_of_ORF(dna)

    • Takes a DNA sequence that is assumed to begin with a start codon and returns the sequence up to but not including the first in frame stop codon. If there is no in frame stop codon, returns the whole string.
  • find_all_ORFs_oneframe(dna)

    • Finds all non-nested open reading frames in the given DNA sequence and returns them as a list. This function should only find ORFs that are in the default frame of the sequence (i.e. they start on indices that are multiples of 3). By non-nested we mean that if an ORF occurs entirely within another ORF, it should not be included in the returned list of ORFs.
  • find_all_ORFs(dna)

    • Finds all non-nested open reading frames in the given DNA sequence in all 3 possible frames and returns them as a list. By non-nested we mean that if an ORF occurs entirely within another ORF and they are both in the same frame, it should not be included in the returned list of ORFs.
  • longest_ORF(dna)

    • Finds the longest ORF on both strands of the specified DNA and returns it as a string
  • find_all_ORFs_both_strands(dna)

    • Finds all non-nested open reading frames in the given DNA sequence on both strands
  • shuffle_string(s)

    • Shuffles the characters in the input string
  • longest_ORF_noncoding(dna, num_trials)

    • Computes the maximum length of the longest ORF over num_trials shuffles of the specfied DNA sequence
  • coding_strand_to_AA(dna)

    • Computes the Protein encoded by a sequence of DNA. This function does not check for start and stop codons (it assumes that the input DNA sequence represents an protein coding region)
  • gene_finder(dna)

    • Returns the amino acid sequences that are likely coded by the specified dna

To start the program import the MainMenu() function from the menu module:

disclaimer!!

In the menu module, MainMenu function ... you need to ensure the path matches your path. The path given here matches the data given

Python package to transfer data in a fast, reliable, and packetized form.

pySerialTransfer Python package to transfer data in a fast, reliable, and packetized form.

PB2 101 Dec 07, 2022
Produces a summary CSV report of an Amber Electric customer's energy consumption and cost data.

Amber Electric Usage Summary This is a command line tool that produces a summary CSV report of an Amber Electric customer's energy consumption and cos

Graham Lea 12 May 26, 2022
Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.

Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.

Aryan Raj 7 Sep 04, 2022
A notebook to analyze Amazon Recommendation Review Dataset.

Amazon Recommendation Review Dataset Analyzer A notebook to analyze Amazon Recommendation Review Dataset. Features Calculates distinct user count, dis

isleki 3 Aug 22, 2022
The official pytorch implementation of ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias

ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias Introduction | Updates | Usage | Results&Pretrained Models | Statement | Intr

104 Nov 27, 2022
Modular analysis tools for neurophysiology data

Neuroanalysis Modular and interactive tools for analysis of neurophysiology data, with emphasis on patch-clamp electrophysiology. Functions for runnin

Allen Institute 5 Dec 22, 2021
This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP.

Overview Welcome to the Step-X repository. This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP. Be

Keanu Pang 0 Jan 20, 2022
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated

37 Dec 15, 2022
Statistical Rethinking course winter 2022

Statistical Rethinking (2022 Edition) Instructor: Richard McElreath Lectures: Uploaded Playlist and pre-recorded, two per week Discussion: Online, F

Richard McElreath 3.9k Dec 31, 2022
Hidden Markov Models in Python, with scikit-learn like API

hmmlearn hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models. For supervised learning learning of HMMs and

2.7k Jan 03, 2023
CubingB is a timer/analyzer for speedsolving Rubik's cubes, with smart cube support

CubingB is a timer/analyzer for speedsolving Rubik's cubes (and related puzzles). It focuses on supporting "smart cubes" (i.e. bluetooth cubes) for recording the exact moves of a solve in real time.

Zach Wegner 5 Sep 18, 2022
A set of functions and analysis classes for solvation structure analysis

SolvationAnalysis The macroscopic behavior of a liquid is determined by its microscopic structure. For ionic systems, like batteries and many enzymes,

MDAnalysis 19 Nov 24, 2022
Python data processing, analysis, visualization, and data operations

Python This is a Python data processing, analysis, visualization and data operations of the source code warehouse, book ISBN: 9787115527592 Descriptio

FangWei 1 Jan 16, 2022
🧪 Panel-Chemistry - exploratory data analysis and build powerful data and viz tools within the domain of Chemistry using Python and HoloViz Panel.

🧪📈 🐍. The purpose of the panel-chemistry project is to make it really easy for you to do DATA ANALYSIS and build powerful DATA AND VIZ APPLICATIONS within the domain of Chemistry using using Python a

Marc Skov Madsen 97 Dec 08, 2022
Implementation in Python of the reliability measures such as Omega.

reliabiliPy Summary Simple implementation in Python of the [reliability](https://en.wikipedia.org/wiki/Reliability_(statistics) measures for surveys:

Rafael Valero Fernández 2 Apr 27, 2022
A Big Data ETL project in PySpark on the historical NYC Taxi Rides data

Processing NYC Taxi Data using PySpark ETL pipeline Description This is an project to extract, transform, and load large amount of data from NYC Taxi

Unnikrishnan 2 Dec 12, 2021
ICLR 2022 Paper submission trend analysis

Visualize ICLR 2022 OpenReview Data

Jintang Li 75 Dec 06, 2022
Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation

Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation Overview Consider the scenario in which advertisement

Manuel Bressan 2 Nov 18, 2021
BAyesian Model-Building Interface (Bambi) in Python.

Bambi BAyesian Model-Building Interface in Python Overview Bambi is a high-level Bayesian model-building interface written in Python. It's built on to

861 Dec 29, 2022
Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data

WeRateDogs Twitter Data from 2015 to 2017 Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data Table of Contents Introduction Proj

Keenan Cooper 1 Jan 12, 2022