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PMID: 20195257 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Review

Visualizing genomes: techniques and challenges.

Nature methods ·Vol. 7 ·No. 3 Suppl ·2010-03-00 ·Pages S5-S15

Nielsen CB, Cantor M, Dubchak I, Gordon D, Wang T

Abstract

As our ability to generate sequencing data continues to increase, data analysis is replacing data generation as the rate-limiting step in genomics studies. Here we provide a guide to genomic data visualization tools that facilitate analysis tasks by enabling researchers to explore, interpret and manipulate their data, and in some cases perform on-the-fly computations. We will discuss graphical methods designed for the analysis of de novo sequencing assemblies and read alignments, genome browsing, and comparative genomics, highlighting the strengths and limitations of these approaches and the challenges ahead.

MeSH Terms
Computer Graphics Genome Image Processing, Computer-Assisted
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Nielsen Cydney B
British Columbia Cancer Agency, Genome Sciences Centre, Vancouver, Canada. [email protected]
Cantor Michael
Dubchak Inna
Gordon David
Wang Ting
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Article Info
Journal
Nature methods
Abbr.
Nat Methods
ISSN
1548-7105
DOI
10.1038/nmeth.1422
Email
[email protected]
Published
2010-03-00
Epub
2010-00-25
Pages
S5-S15
Language
English
Region
United States
NLM ID
101215604
Subset
IM
Grants
NHLBI NIH HHS · 1RC2HL10296-01 · United States
NCI NIH HHS · N01-CO-12400 · United States
NHLBI NIH HHS · R01 HL094976 · United States
Howard Hughes Medical Institute · United States
External Links
PubMed source DOI: 10.1038/nmeth.1422 View journal details
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