Related Experiment Video
Updated: Mar 19, 2026

09:35
A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
Published on: August 16, 2017
18.5K
Keemei: cloud-based validation of tabular bioinformatics file formats in Google Sheets.
Jai Ram Rideout1, John H Chase1, Evan Bolyen1
1Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, 86011, USA.
Gigascience
|June 15, 2016
Summary
Keemei is a Google Sheets Add-on that validates tabular data files for bioinformatics. This tool simplifies data formatting, reducing errors and saving researchers time in bioinformatics analysis.
Area of Science:
- Bioinformatics
- Computational Biology
- Data Science
Background:
- Bioinformatics software requires specific tabular file formats for input.
- Researchers often use spreadsheet programs like Google Sheets for data compilation.
- Data formatting validation is a common bottleneck in bioinformatics workflows.
Purpose of the Study:
- To introduce Keemei, a Google Sheets Add-on for validating tabular files used in bioinformatics.
- To streamline the process of preparing data for bioinformatics analysis.
Main Methods:
- Developed Keemei as a Google Sheets Add-on.
- Integrated validation for Quantitative Insights into Microbial Ecology (QIIME) and Spatially Referenced Genetic Data (SRGD) formats.
- Designed for easy expansion to support additional bioinformatics file formats.
Main Results:
- Keemei provides a user-friendly interface for tabular file format validation within Google Sheets.
- The add-on supports validation for QIIME sample metadata mapping and SRGD formats.
- The system is designed for straightforward integration of new validation formats.
Conclusions:
- Keemei reduces time and frustration associated with bioinformatics data validation.
- It minimizes common data formatting errors, improving research quality.
- The tool addresses bottlenecks in preparing human-generated data for bioinformatics systems.
Related Concept Videos
Data Validation
7.2K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
7.2K
Data Validation
3.5K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Key parameters for method validation include:
3.5K

