Search

This seminar course on industry topics provides students with opportunities to explore current and emerging research, trends, practices, and issues in bioinformatics. Course content changes from semester to semester and is selected based on current "hot topics" in the field. Please contact the...

This seminar course on industry topics provides students with opportunities to explore current and emerging research, trends, practices, and issues in bioinformatics. Course content changes from semester to semester and is selected based on current "hot topics" in the field. Please contact the...

Heterogeneous data inputs from instruments, assays, and public repositories require skillful integration to create tidy, analysis-ready datasets. Students learn to use Python and the Linux shell to extract, transform, merge, and clean data, converting between domain formats and general formats such...

Building and operating scalable, cost-efficient pipelines is an essential skill for practitioners in modern bioinformatics. Students package workflows in containers and deploy them on managed cloud services with object storage and elastic compute. In a command-line environment, students accelerate...

The efficient preparation of biological datasets for visualization is necessary to create clear static and interactive charts for scientific communication. Students develop competencies in chart selection, tidy data practices, appropriate use of color and scale, and accessible design. Learners...

Visualization of complex omics datasets requires innovative, effective approaches informed by partners in the life sciences bioeconomy. Students learn to prepare sequence and annotation data, create advanced heatmaps, volcano and MA plots, and overlays of dimensionality-reduction methods such as...

This seminar course on industry topics provides students with opportunities to explore current and emerging research, trends, practices, and issues in bioinformatics. Course content changes from semester to semester and is selected based on current "hot topics" in the field. Please contact the...

Advancements in high-throughput sequencing technologies have rapidly transformed the life sciences, creating a growing demand for professionals skilled in analyzing and interpreting genomic and transcriptomic data. Students explore essential computational tools for bioinformatics and apply them to...

Advancements in high-throughput sequencing technologies create a growing demand for professionals skilled in analyzing and interpreting genomic data. Students learn the essential steps for genome assembly while respecting OCAP principles and Indigenous data sovereignty. They perform quality control...