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Name: Morris Aguilar
Type: User
Company: Hall Lab
Bio: twitter.com/Morris_Glr
Twitter: Morris_Glr
Location: Penn State University
Name: Morris Aguilar
Type: User
Company: Hall Lab
Bio: twitter.com/Morris_Glr
Twitter: Morris_Glr
Location: Penn State University
Bioinformatics and Genomics
The Python program outputs a text file of the reverse compliment of a DNA from an input text file.
Computing tips for scientists
The Python code in this project can manage the calculation of GC content of multiple DNA strands in a FASTA file. Additionally, the program outputs the name of the DNA strand with the highest GC content.
This Python program analyzes multiple homologous strands with point mutations in order to produce the average-case--or consensus--DNA strand. The program can handle an input of a FASTA file containing multiple DNA strands.
This program compares two strands of DNA in a FASTA file and detects point mutations between them. This data is then used to calculate the minimum number of nucleotide substitutions required to transform one string into the other, i.e, the Hamming distance.
This program detects and outputs the nucleotide positions of a given DNA motif within a strand of DNA. A DNA motif is a commonly shared interval of DNA distributed within a genome.
Current Project: This program aims to assemble individual strings of DNA into a contiguous superstring over a collection of DNA. Additionally, the program aims to construct the shortest superstring because of the biological principle that nature tends to take the shortest path in evolution.
This program calculates probability that two randomly selected mating organisms will produce an individual possessing a dominant allele. The program can calculate the probability for any given number of homozygous recessive, homozygous dominant, and heterozygous organisms.
This Python program can compare a large number of DNA strands from a FASTA input file and produce an adjacency list. The list represents which strands of DNA have contiguity between them. The program also represents an intermediate step towards genome assembly.
The goal of this coding project is to generate a simple regression model (that takes a single input to make a prediction) and compare its performance to a multiple regression model (that takes more than one input to make a prediction.) The models are built in the context of the input, gene expression of a gene familiy, and how it affects the output, effector gene expression. I expect that a regression model built with multiple gene expression inputs would more precisely predict the gene expression of an effector gene. The goal is test this code with existing gene expression repositories such as the NIH Gene Expression Omnibus (GEO) repository.
My iPython notebook visualizes more than 20 thousand housing data points from Seattle, WA and builds prediction models via multiple linear regression. In other words, a housing price prediction model was built using multiple house features such as square footage, zip code, year build, lot size, and more.
This Python program simulates a sequence of population growth over time that is defined as a function of the preceding population size.
This Python program revisits the simulation of a sequence of population growth over time that is defined as a function of the preceding population size. The program takes into account that newborns take time to reach reproductive age. This time I overhauled my code to incorporate added a lifespan parameter for a more realistic simulation.
This Python program translates a RNA sequence from a text file and outputs the amino acid sequence.
Responsive web based gallery for my What I Cannot Show You film photography set.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.