title: Visualizing biological data-now and in the future.
abstract: Methods and tools for visualizing biological data have improved considerably over the last decades, but they are still inadequate for some high-throughput data sets. For most users, a key challenge is to benefit from the deluge of data without being overwhelmed by it. This challenge is still largely unfulfilled and will require the development of truly integrated and highly useable tools.
authors.affiliation: European Molecular Biology Laboratory, Heidelberg, Germany. sean.odonoghue@embl.de
authors.forename: Seán I
authors.initials: SI
authors.lastname: O'Donoghue
authors.forename: Anne-Claude
authors.initials: AC
authors.lastname: Gavin
authors.forename: Nils
authors.initials: N
authors.lastname: Gehlenborg
authors.forename: David S
authors.initials: DS
authors.lastname: Goodsell
authors.forename: Jean-Karim
authors.initials: JK
authors.lastname: Hériché
authors.forename: Cydney B
authors.initials: CB
authors.lastname: Nielsen
authors.forename: Chris
authors.initials: C
authors.lastname: North
authors.forename: Arthur J
authors.initials: AJ
authors.lastname: Olson
authors.forename: James B
authors.initials: JB
authors.lastname: Procter
authors.forename: David W
authors.initials: DW
authors.lastname: Shattuck
authors.forename: Thomas
authors.initials: T
authors.lastname: Walter
authors.forename: Bang
authors.initials: B
authors.lastname: Wong
mesh_terms: D007091:Image Processing, Computer-Assisted; D018511:Systems Integration; D014584:User-Computer Interface