# 1. Introduction ## 1. About KEA **Korea Expression Archive (KEA)** is a public repository established to integrate and share functional genomics datasets. KEA enables researchers to access and utilize data derived from microarrays, bulk RNA sequencing (RNA-seq), single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and epigenomic studies. KEA stores microarray data and processed data from high-throughput sequencing (HTS) experiments. KEA is operated by the Korea Bioinformation Center (KOBIC) at the Korea Research Institute of Bioscience and Biotechnology (KRIBB) and serves as one of the major repositories within the Korea Biodata Station (K-BDS), a comprehensive repository for all types of biological research data. ## 2. Key features of KEA #### **Comprehensive Multi-Omics Data Integration** KEA supports multiple data types: * Bulk RNA sequencing * Single-cell RNA sequencing * Spatial transcriptomics * Epigenomic data (DNA methylation, histone modification, ATAC-seq, etc.) * Microarray data #### **Standardized and Curated Data** * KEA applies standardized metadata and curation pipelines to ensure that heterogeneous datasets can be consistently compared and analyzed across studies. * All submitted datasets undergo format validation, metadata consistency checks, and quality control processes #### **Collaboration and Data Sharing** * KEA is designed to securely store research outputs and make them easily shareable with the scientific community. * KEA releases curated data to researchers, supporting reproducible and collaborative science. ## 3. Cite When describing data deposition, please use the following citation format: > The data reported in this paper have been deposited in the Korea Expression Archive (KEA) at the Korea Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology (KSExxxxxxxx), which is publicly accessible at ; --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://kobic.gitbook.io/kea-documentation/kea-user-guide/1.-introduction.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.