UNMC_Acronym_Vert_sm_4c
University of Nebraska Medical Center

External Courses of Interest

Courses

Topics

Free

Paid

Introduction to Bioinformatics

https://www.coursera.org/learn/bioinformatics-pku

https://www.classcentral.com/course/pkubioinfo-1209

https://www.coursera.org/learn/bioinformatics-methods-1

https://www.ebi.ac.uk/training/online/courses/introductory-bioinformatics-pathway/

 

Introduction to working with UNIX and bash

https://www.futurelearn.com/courses/linux-for-bioinformatics

https://www.edx.org/course/introduction-to-linux

https://training.csx.cam.ac.uk/bioinformatics/event/4173071

Bioperl for Biologists

https://www.coursera.org/learn/python-genomics

https://www.arraygen.com/bioperl-course.php

Introduction to Python

https://www.datacamp.com/courses/introduction-to-python-de9bedd8-983f-4a5b-a614-3d01d76e614e

https://www.coursera.org/specializations/python

https://www.coursera.org/specializations/python-3-programming

https://www.edx.org/professional-certificate/introduction-to-python-programming

Introduction to Python for Biologists

https://www.edx.org/course/using-python-for-research

https://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-python/

https://www.arraygen.com/biopython-course.php

Introduction to R

https://www.datacamp.com/courses/free-introduction-to-r

https://www.coursera.org/learn/r-programming

https://www.futurelearn.com/courses/linux-for-bioinformatics

https://www.codecademy.com/learn/learn-r

https://www.arraygen.com/R-programming.php

Introduction to R for Biologists

https://www.edx.org/course/advanced-bioconductor

https://www.edx.org/course/introduction-to-bioconductor-annotation-and-analys

https://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-introRbio

Introduction to Data science

 

https://www.coursera.org/learn/what-is-datascience

https://practicum.yandex.com/data-scientist

https://www.coursera.org/learn/genomic-data

https://www.coursera.org/specializations/genomic-data-science

https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training

https://www.simplilearn.com/big-data-and-analytics/data-scientist-certification-sas-r-excel-training

RNA-seq

https://rnabio.org/course/

https://www.edx.org/course/analyze-your-genome

https://www.edx.org/course/case-studies-in-functional-genomics

https://www.coursera.org/lecture/network-biology/rna-seq-analysis-preliminaries-xvgpR

https://www.arraygen.com/RNA_Seq.php

ATAC-seq

 

https://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-ChIPseq

Single cell RNA-seq

https://hbctraining.github.io/scRNA-seq_online/schedule/links-to-lessons.html

https://www.arraygen.com/scRNA-seq.php

https://www.physalia-courses.org/courses-workshops/course18/

Whole Genome de novo Assembly

https://www.edx.org/course/analyze-your-genome

https://www.arraygen.com/De-novo-Assembly.php

Whole Genome/Exome analysis – SNVs, germline, somatic, CNVs, etc.

https://www.coursera.org/learn/wgs-bacteria

https://www.edx.org/course/analyze-your-genome

 

Finding Mutations in DNA and Proteins

https://www.classcentral.com/course/mutations-3557

https://www.udemy.com/course/practical-bioinformatics-play-with-genes-on-your-screens/

 

DNA methylation

https://www.edx.org/course/case-studies-in-functional-genomics

 

   

https://study.unimelb.edu.au/find/microcredentials/microbial-genomics-bioinformatic-analysis-basics/

Microbiome/Metagenomics – 16S and whole genome based

https://www.edx.org/course/how-to-analyze-a-microbiome

https://www.coursera.org/learn/microbiome

https://www.arraygen.com/metagenomics.php

Machine learning/AI with applications in Biology

https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python?delta=0

https://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-ml

https://pll.harvard.edu/course/designing-and-implementing-ai-solutions-health-care?delta=1

High Performance Computing: An Introduction

https://www.udacity.com/course/high-performance-computing--ud281

https://training.csx.cam.ac.uk/bioinformatics/event/4180583