Data Analysis in Biology and Life Science
Timeline
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January 10, 2022Experience start
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February 8, 2022Project Scope Meeting
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April 2, 2022Experience end
Timeline
-
January 10, 2022Experience start
-
February 8, 2022Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
April 2, 2022Experience end
Experience scope
Categories
Data analysisSkills
data analysis research project presentation and delivery inference programmingDo you have a problem/challenge in data analysis in biology and life science that you would like to solve? In this project, student-consultants working in small groups will apply their knowledge of major concepts and techniques in biology to help your organization tackle a problem related to genome sequencing and analysis, database searching, population genomics analysis, protein sequence analysis, etc. The major goal of students is to develop skills for framing important biological hypotheses and deploying appropriate tools for testing those hypotheses. Approaches for data quality assessment and evaluation of computational tools is a major theme for students, and laboratory time has helped provide them with hands-on experience with analysis of DNA, RNA and protein sequence data, and the regulatory networks controlling gene expression and metabolic activity.
Learners
The final project deliverables might include:
- 10-15 minute presentation of key findings and recommendations
- A detailed report including their research, analysis, insights, and recommendations
Project timeline
-
January 10, 2022Experience start
-
February 8, 2022Project Scope Meeting
-
April 2, 2022Experience end
Timeline
-
January 10, 2022Experience start
-
February 8, 2022Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
April 2, 2022Experience end
Project Examples
Requirements
Beginning in January, students in groups of 2-5 will work with your company to identify a problem/challenge in data analysis in biology and life science and then perform analysis by using existing tools or building their own new tools.
Project examples include but are not limited to:
- Utilizing Linux server to manipulate large biological data with bash commands
- Writing bash scripts and build pipelines to automate the data analysis workflow
- Utilizing online tools and databases, and various bioinformatics programs, to interpret results, generate new hypotheses, and draw conclusions
- Adjusting bioinformatic algorithm search parameters through a deep understanding of their effects on results based on the biological context
- Manipulating a diversity of large bioinformatic data files and evaluate data quality
- Using and evaluating of existing bioinformatic tools
- Designing reproducible bioinformatic experiments
- Analyzing nucleic acid and protein sequence data in large data sets
- Performing statistical analyses
- Inferring mass spectra data to identify peptide and protein sequences
- Querying sequence databases and perform alignments
Additional organization criteria
Organizations must answer the following questions to submit a match request to this experience:
Additional organization criteria
Organizations must answer the following questions to submit a match request to this experience:
Timeline
-
January 10, 2022Experience start
-
February 8, 2022Project Scope Meeting
-
April 2, 2022Experience end
Timeline
-
January 10, 2022Experience start
-
February 8, 2022Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
April 2, 2022Experience end