Course Collections

Showing 1-9 of 9 results
This course will be made available in December 2018
This course will be made available in 2019

Machine Learning for Biomedical Data

(0 review)
165
students
0
$125.00 $45.00

This course will cover conceptual aspects of machine learning in application to high-throughput biomedical data. Throughout the course, students will get an understanding of...

$125.00 $45.00

Transcriptomics 3

(0 review)
192
students
0
Free

Transcriptomics 3 is a continuation of Transcriptomics 1 and 2. In Transcriptomics 1, we learned how to convert raw reads from a Next Generation...

Free

Metagenomics

(0 review)
604
students
0
Free

Course Description: This is an introductory course on Metagenomics, also known as the “microbiome”. The course provides a good introduction to analysis methods for...

Free

Genomics 1

(1 review)
671
students
1
Free

Why study genomics? Genomics is an essential subfield of bioinformatics, and a major force in expanding human knowledge of genetic associations with disease and...

Free

Transcriptomics 2

(1 review)
290
students
1
Free

Transcriptomics 2 Transcriptomics 2 is a continuation of the Transcriptomics 1 and it focuses on finding differences in gene expression. We will start with...

Free

Transcriptomics 1

(3 reviews)
1334
students
3
Free

This course is designed for those interested in learning about transcriptomics or RNA-seq and its applications in many different life sciences disciplines. The course...

Free

Introduction to Bioinformatics

(8 reviews)
1022
students
8
Free

Introduction to bioinformatics is a beginner level course that covers the basic concepts in bioinformatics and it's uses in various industries.

Free

Data analytics skills are in high demand in clinical research and treatment development, though most bioinformatics education courses focus on technical issues rather than the bigger picture of big data and its potential to change the way we view disease and treatment discovery. Learning how to run bioinformatic analysis is costly with the high prices of courses through a University or online education program – not to mention the countless hours which must be devoted to learning coding languages, scripts, and downloading software packages. The result is an approach to bioinformatics which ignores biology.

Our online educational modules are different – applying our algorithms and visualization tools to real publically available molecular data. Through our user-friendly visual interface cloud platform, T-BioInfo, we bypass the technical investment of education in bioinformatics. The T-bioInfo platform simplifies the computational approach to allow scientists from all backgrounds to move forward in the world of big data. “Analyzing large datasets can be a challenge for molecular biologists.” Said Dr. Christian Pfaller of the Cattaneo Lab in the Mayo Clinic. “T-Bio provides a comprehensive platform with a user-friendly graphical interface that allows a wide range of NGS algorithms.”

The online courses developed by Pine Biotech are centered on eliminating the disconnect between data gathering and data analysis by training professionals and students alike in bioinformatic analysis using the T-Bio Info platform.