Statistical Analysis in Bioinformatics

Payment
Обучение бесплатное
Certificate
Сертификация платная
Duration
1 месяц
О курсе

Improvements in modern biology have led to a rapid increase in sensitivity and measurability in experiments and have reached the point where it is often impossible for a scientist alone to sort through the large volume of data that is collected from just one experiment.

For example, individual data points collected from one gene expression study can easily number in the hundreds of thousands. These types of data sets are often referred to as ‘biological big data’ and require bioinformaticians to use statistical tools to gain meaningful information from them.

In this course, part of the Bioinformatics MicroMasters program, you will learn about the R language and environment and how to use it to perform statistical analyses on biological big datasets.

This course is part of the Bioinformatics MicroMaster’s program from UMGC. Upon completion of the program and receipt of the verified MicroMaster’s certificate, learners may then transition into the full UMGC Master’s Program in Biotechnology with a specialization in Bioinformatics without any application process or testing. See the MicroMasters program page for more.

Программа
Statistical Analysis in Bioinformatics
Learn basic R programming to analyze biological big data to locate genes, perform simulations, and gauge the effect of specific markers.
Statistical Analysis in Bioinformatics
Learn basic R programming to analyze biological big data to locate genes, perform simulations, and gauge the effect of specific markers.
Что Вы изучите?
  • Basic R Programming
  • Applying packages in the R environment to determine changes in gene expression
  • Applying packages in the R environment to locate genes in a full genomic sequence
Лекторы
James Coker
James Coker
Associate Professor and Program Chair, Bioinformatics and Biotechnology Regulatory Affairs Specializ...
Dr. Coker is an associate professor and the program chair for the Bioinformatics and Biotechnology Regulatory Affairs Specializations within the Biotechnology Master’s Program at the University of Maryland Global Campus. He was previously an assistant professor in the Department of Biology at the University of Alabama at Birmingham where his laboratory studied the various adaptations organisms make to thrive in extreme conditions. Before that he worked at the Center of Marine Biotechnology studying the information transfer apparatus of the halophilic archaea. He is an active member of the IEEE Computational Intelligence Society (CIS) Bioinformatic and Bioengineering Technical Committee's task force on Optimization Methods in Bioinformatics and Bioengineering. He earned his PhD from Penn State University.
Платформа
EdX
Эта платформа предоставляет все курсы бесплатно. Авторами выступают топовые университеты и корпорации, которые стараются удерживать стандарты качества. За несоблюдение дедлайнов, невыполнение домашнего задания студенты теряют баллы. Как и в других платформах, лекционные видео чередуются с практическими заданиями. Обучение проводится на английском, китайском, испанском, французском и хинди.
Statistical Analysis in Bioinformatics