Data Analysis

From LMU BioDB 2019
Revision as of 15:53, 7 November 2019 by Kdahlquist (talk | contribs) (Milestones: rephrase)
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Final Project Links
Overview Deliverables Guilds Project Manager Quality Assurance Data Analysis Coder/Designer
Teams FunGals Sulfiknights Skinny Genes

The role of the Data Analyst will be to apply the data analysis pipeline that you learned by analyzing the Dahlquist Lab microarray dataset to complete the analysis of a different published yeast timecourse microarray dataset. The Data Analysts are the end-users of the project, ultimately determining whether the work of the coder/designer and quality assurance members is useful to them.

Guild Members

  • Ivy
  • Marcus
  • TBA
  • TBA

Milestones

The milestones do not necessarily correspond to particular weeks; instead they are sets of tasks grouped together.

Milestone 1: Annotated Bibliography

  • The Data Analysts will work with their teams to develop an annotated bibliography of papers relating to their team's assigned paper.

Milestone 2: Journal Club Presentation

  • The Data Analysts will work with their teams to create and deliver a Journal Club presentation about to their team's assigned paper.

Milestone 3: Complete Microarray Data Analysis

  • Perform an ANOVA analysis of the data.
  • Cluster the data with stem.
  • Use YEASTRACT to generate a candidate gene regulatory network.
  • Create an input workbook for GRNmap based on a Microsoft Access database that the Coder/Designer and QA's make.
  • Run GRNmap and Interpret data.
  • As the end-user of the Access database, the Data Analysts will provide feedback to the QAs and Coder/Designer about the usability of database.
Final Project Links
Overview Deliverables Guilds Project Manager Quality Assurance Data Analysis Coder/Designer
Teams FunGals Sulfiknights Skinny Genes