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Course Information

BioinformaticsBioinformatics (BIOL 3301)

Term: 2021-2022 Academic Year Spring

Faculty

Dr. Glendora Carter
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Shaneka S. Simmons
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I am an Assistant Professor of Biology and Science Education at Jarvis Christian College.

I have a Ph.D. in Environmental Science and M.S. in Biology. My formal training is in Bioinformatics. My previous research involved the study of a biofuel producing bacteria.

Fun Fact: Bacteria can Really Produce Electricity.
What if we were able to capture and use this energy?
https://youtu.be/l1MuDYc0D2Q

I moved to Texas from Mississipi. There seems to be slight differences, but it feels mostly the same. Texas is my home away from home. I enjoy reading, music, and being adventurous. 

Outside my window currently there is the noise of construction work. Two new buildings are being constructed and there is a brown metal frame in place. The construction starts early in the morning and the cranes make an exasperating beeping sound every so often. The buildings are transforming right before my eyes. It seems that no one has a clear answer as to what will become of the buildings. That's why Inspector Simmons is on the case. 

Female secret agent or private detective with a magnifying glass, EPS 8 vector silhouette no white objects, black only Stock Vector - 80388833
Fun Fact: Scientists have an amazing passion for          investigation and problem solving.
https://smarthomeschooler.com/blog/2018/12/28/the-perfect-parenting-crime

I know you probably can tell by now that I like to discover and analyze information. Therefore, it was only fitting that I would become a scientist eager to teach.  Over the past 4 years, I have taught General Biology I and Bioinformatics courses at Jarvis Christian. I am always excited about teaching and learning with my students.

Office number is 903-730-4890 ex. 2140.

Cell phone number is 903-600-0865‬.

Email address is ssimmons@jarvis.edu

 

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Description

Bioinformatics is an emerging field that integrates informational science. Bioinformatics utilizes computational
methods to create hypotheses and answer biological questions. Bioinformatics, often requires intensive exploration of
large and complex datasets from public and privately funded databases. Computational tools allow for the data-mining,
harvesting, organizing, and cleaning of datasets used to support hypothesis-driven biological solution. The course is
designed to introduce students to the field of bioinformatics through exploration of key principles, techniques and
technologies. Students will be exposed to relational databases and software such as the NCBI, MEGA, FigTree,
ClustalW, Pfam, IMG, Genbank, BioGPS, PDB and SwissProt. These technologies are designed to allow students
process data and analyze mammalian and microbial genomes at the level of the DNA and protein sequences. Students
will also be able to conduct similarity searches, gene analyses, and under