Abstract
Leukemias are exceptionally well studied at the molecular level and a wealth of high-throughput data has been published. But further utilization of these data by researchers is severely hampered by the lack of accessible integrative tools for viewing and analysis. We developed the Leukemia Gene Atlas (LGA) as a public platform designed to support research and analysis of diverse genomic data published in the field of leukemia. With respect to leukemia research, the LGA is a unique resource with comprehensive search and browse functions. It provides extensive analysis and visualization tools for various types of molecular data. Currently, its database contains data from more than 5,800 leukemia and hematopoiesis samples generated by microarray gene expression, DNA methylation, SNP and next generation sequencing analyses. The LGA allows easy retrieval of large published data sets and thus helps to avoid redundant investigations. It is accessible at www.leukemia-gene-atlas.org.
Highlights
Recent advances in high-throughput technologies allow to collect unprecedented amounts of genomic, trancriptomic and epigenomic data
We demonstrate the usability of the Leukemia Gene Atlas (LGA) to generate or substantiate new hypotheses based on published genomic data sets
RUNX1 is a regulatory gene in hematopoiesis and plays a key role in the development of leukemias [16]
Summary
Recent advances in high-throughput technologies allow to collect unprecedented amounts of genomic, trancriptomic and epigenomic data. Novel sources of high-throughput data such as those based on generation sequencing promise to further enhance molecular analyses of leukemias on a genome wide level [2,3]. Highthroughput data are usually submitted to a public repository where they can be accessed and used for further analyses These data have the potential to substantially accelerate and enhance further research [4,5]. There is a need for a repository that enables researchers to retrieve information from already published data and helps to avoid redundant investigations [7]. The requirements for such a repository include the following: It should contain a wide range of molecular data types.
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