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Visualizing genomes: techniques and challenges

delete2010-02-25
delete132
PRE
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C
Cydney Nielsen *
M
Michael Cantor
I
Inna Dubchak
D
David Gordon
王婷 cover
王婷 (Ting Wang)
DOI:10.1038/NMETH.1422delete
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Abstract

Abstract

En 中文
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.
Keywords:
DNA-SEQUENCE ALIGNMENTS
DESK-TOP COMPUTER
COMPUTATIONAL TOOLS
MOUSE GENOME
BROWSER
SOFTWARE
VISTA
UCSC
VERTEBRATE
ELEMENTS
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nature Methods cover
Nature Methods
IF:
32.1
Papers:
7.2K
Citations:
12.7W

Organization

B
british columbia cancer agency
Scholars:
5.1K
Papers: 3.4K
Citations: 10
U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K
J
joint genome institute - jgi
Scholars:
429
Papers: 289
Citations: 0
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Cited Papers

Cited Papers

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