# README - GeTeSEP DATA DOWNLOAD This repository contains several datasets related to time series analysis and gene expression profiling. The datasets provided here are intended for research and analysis purposes in the field of bioinformatics and molecular biology. ## Datasets Overview ### Time Series Sample Datasets - Released On: 2023-06-25 - Version: 1.0 - Size: 5.78 MB - Format: TXT This dataset includes a collection of time series samples information. It contains data points recorded over time, allowing researchers to study and analyze temporal patterns and changes in gene expression. ### Genes With Temporal-specific Expression Patterns Datasets - Released On: 2023-06-25 - Version: 1.0 - Size: 153 MB - Format: CSV This dataset provides information about genes exhibiting temporal-specific expression patterns. It enables researchers to identify genes that are dynamically regulated and associated with specific temporal stages or conditions. ### Model Fitting Results Dataset - Released On: 2023-06-25 - Version: 1.0 - Size: 1.06 MB - Format: CSV The Model Fitting Results Dataset contains the results of fitting models to the time series data. It includes information about the models used, their parameters, and the quality of fit. Researchers can utilize this dataset to evaluate and compare different modeling approaches. ### Gene Expression Profiles Of Time Series Datasets - Released On: 2023-06-25 - Version: 1.0 - Size: 1.06 MB - Format: ZIP This dataset contains gene expression profiles obtained from time series experiments. It offers a comprehensive view of gene expression dynamics over time and facilitates investigations into gene regulatory networks and biological processes. ## Usage and Terms of Use Please note that these datasets are provided for academic and research purposes only. If you use any of the datasets in your work, kindly acknowledge the original source and provide appropriate citations as applicable. For further details on the datasets, please refer to the individual dataset files and accompanying documentation. For any inquiries or feedback, please contact us at panjianbo@cqmu.edu.cn. Thank you for your interest in our GeTeSEPdb!