Visualizing biological data-now and in the future

被引：88

作者：

O'Donoghue, Sean I. ^{[1
]}

Gavin, Anne-Claude ^{[1
]}

Gehlenborg, Nils ^{[2
,3
]}

Goodsell, David S. ^{[4
]}

Heriche, Jean-Karim ^{[1
]}

Nielsen, Cydney B. ^{[5
]}

North, Chris ^{[6
]}

Olson, Arthur J. ^{[4
]}

Procter, James B. ^{[7
]}

Shattuck, David W. ^{[8
]}

Walter, Thomas ^{[1
]}

Wong, Bang ^{[9
]}

机构：

[1] European Mol Biol Lab, Heidelberg, Germany

[2] European Bioinformat Inst, Cambridge, England

[3] Univ Cambridge, Grad Sch Life Sci, Cambridge, England

[4] Scripps Res Inst, La Jolla, CA 92037 USA

[5] British Columbia Canc Agcy, Genome Sci Ctr, Vancouver, BC V5Z 4E6, Canada

[6] Virginia Tech, Blacksburg, VA USA

[7] Univ Dundee, Coll Life Sci, Sch Life Sci Res, Dundee, Scotland

[8] Univ Calif Los Angeles, Lab Neuro Imaging, Los Angeles, CA USA

[9] Broad Inst MIT & Harvard, Cambridge, MA USA

来源：

NATURE METHODS | 2010年 / 7卷 / 03期

关键词：

SYSTEMS BIOLOGY; IMAGE DATA; NETWORKS; SOFTWARE; UPDATE;

D O I：

10.1038/nmeth.f.301

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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. (C) 2010 Nature America, Inc. All rights reserved.

引用

页码：S2 / S4

页数：3

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