Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Biology | 1 |
| Class Activities | 1 |
| Coding | 1 |
| College Science | 1 |
| Data Analysis | 1 |
| Genetics | 1 |
| Hands on Science | 1 |
| Information Science | 1 |
| Laboratory Experiments | 1 |
| Plants (Botany) | 1 |
| Science Activities | 1 |
| More ▼ | |
Author
| Chory, Joanne | 1 |
| Cockrum, Carlee | 1 |
| Dunar, Courtney | 1 |
| Huang, Shao-shan Carol | 1 |
| Maldonado, Brianna | 1 |
| Mills, Sara | 1 |
| Morrison, Steven | 1 |
| Peters, Nathan Emmanuel | 1 |
| Procko, Carl | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkProcko, Carl; Morrison, Steven; Dunar, Courtney; Mills, Sara; Maldonado, Brianna; Cockrum, Carlee; Peters, Nathan Emmanuel; Huang, Shao-shan Carol; Chory, Joanne – CBE - Life Sciences Education, 2019
Next-generation sequencing (NGS)-based methods are revolutionizing biology. Their prevalence requires biologists to be increasingly knowledgeable about computational methods to manage the enormous scale of data. As such, early introduction to NGS analysis and conceptual connection to wet-lab experiments is crucial for training young scientists.…
Descriptors: Undergraduate Students, Data Analysis, Biology, Information Science
