Spark: A navigational paradigm for genomic data exploration

ABSTRACT: Biologists possess the detailed knowledge critical for extracting biological insight from genome-wide data resources and yet they are increasingly faced with non-trivial computational analysis challenges posed by genome-scale methodologies. To lower this computational barrier, particularly in the early data exploration phases, we have developed an interactive pattern discovery and visualization prototype, Spark, designed with epigenomic data in mind. Here we demonstrate Spark’s ability to reveal both known and novel epigenetic signatures using genome-wide histone modification, DNA methylation, and transcription factor data from human embryonic stem cells. Human embryonic stem cells (hESCs) were obtained from Cellular Dynamics as part of a large batch of cells prepared for the ENCODE Consor

ORGANISM(S): Homo sapiens

SUBMITTER: Henriette O'Geen 

PROVIDER: E-GEOD-39096 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress