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Visualizing genomes: techniques and challenges

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

摘要

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.
Keyword:
DNA-SEQUENCE ALIGNMENTS
DESK-TOP COMPUTER
COMPUTATIONAL TOOLS
MOUSE GENOME
BROWSER
SOFTWARE
VISTA
UCSC
VERTEBRATE
ELEMENTS
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期刊

Nature Methods 封面图
Nature Methods
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32.1
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7.2K
被引数:
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B
british columbia cancer agency
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U
united states department of energy (doe)
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University of California System
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J
joint genome institute - jgi
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429
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