Bioinformatics and Computational Biology – Certificate (CERT-BICB) 

The Bioinformatics and Computational Biology Certificate is open to graduate students with a background in life sciences. The certificate emphasizes acquiring biological and computational expertise by supplementing graduate students’ experiences with the necessary training in scripting and analysis of DNA/RNA sequencing data on a high-performance computing cluster. The courses offered focus on applying computer-based technologies to biological, biomedical, and biotechnology research. The curriculum includes instruction in database management, data mining, experimental design and analysis applications, and specific quantitative and analytical studies in the genetic and genomic sciences. Students completing the Bioinformatics and Computational Biology Certificate will possess an array of skills: ability to manage, interpret, and analyze large data sets; broad knowledge of bioinformatics analysis methodologies; familiarity with functional genetic and genomic data; and expertise in standard bioinformatics software packages and algorithms using command-line interfaces. Overall, this certificate will enhance graduate student training by strengthening their critical thinking, ability to communicate scientific concepts and analytical reasoning.

The certificate designation will be added to your transcripts and student records prior to graduation via the University Adjustment System.

CERT-BICB requires completion of 15 credit hours.

Enrollment requirements: must be a current graduate student with a background in the life sciences.

Limitation: Student must maintaing a minimum 3.0 Program GPA for graduation purposes.

 

Required Courses (6-credits)

3-cr    BIOL 683: Experimental Design

3-cr    GENE 657: Bioinformatics Command Line

 

Electives (9-credits), non-exclusive list

GENE: 656: Bioinformatics Metagenomics

GENE 658: Differential Gene Expression

GENE 659: Genome Assembly

GENE 689: Data Visualization in R

GENE 689: Advanced Bioinformatics

GENE 689: Shotgun Metagenomics Data Analysis

GENE 689: Single-Cell RNA-seq Data Analysis in R

MPHY 624: Biostatistics

MPHY 625: Bioinformatics

STAT 645: Applied Biostatistics and Data Analysis

STAT 646: Statistical Bioinformatics

STAT 651: Statistics in Research I

STAT 652: Statistics in Research II

 

*Courses taken before official enrollment in CERT-BICB will still count towards the certificate completion credits.

 

To enroll, complete the online registration.

 

Questions? Please contact: genesec@tamu.edu; 979-485-2284 or Dr. John (Chris) Blazier at jcb244@tamu.edu

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                                                   TAMU 2128

                                                   College Station, Texas 77843