Open AccessLeukemia Gene Atlas – A Public Platform for Integrative Exploration of Genome-Wide Molecular Data
Author(s) -
Katja Hebestreit,
Sören Gröttrup,
Daniel Emden,
Jannis Veerkamp,
Christian Rückert,
Hans-Ulrich Klein,
Carsten MüllerTidow,
Martin Dugas
Publication year - 2012
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0039148
Subject(s) - computational biology , visualization , leukemia , data visualization , dna methylation , biology , genomics , bioinformatics , genome , computer science , gene , data science , genetics , data mining , gene expression
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 .