scholarly journals JBrowse: A next-generation genome browser

2009 ◽  
Vol 19 (9) ◽  
pp. 1630-1638 ◽  
Author(s):  
M. E. Skinner ◽  
A. V. Uzilov ◽  
L. D. Stein ◽  
C. J. Mungall ◽  
I. H. Holmes
2012 ◽  
Vol 13 (1) ◽  
pp. 2 ◽  
Author(s):  
Lei Kong ◽  
Jun Wang ◽  
Shuqi Zhao ◽  
Xiaocheng Gu ◽  
Jingchu Luo ◽  
...  

2011 ◽  
Vol 40 (2) ◽  
pp. e12-e12 ◽  
Author(s):  
T. Abeel ◽  
T. Van Parys ◽  
Y. Saeys ◽  
J. Galagan ◽  
Y. Van de Peer

2020 ◽  
Author(s):  
Keith D. Harris ◽  
Assaf Zemach

AbstractCytosine methylome data is commonly generated through next-generation sequencing (NGS). Analyses of this data average methylation states of individual reads. We propose an alternate method of analysing single-read methylome data. Using this method, we identified patterns that relate to the mechanism of two plant non-CG methylating enzymes, DRM2 and CMT2: DRM2 has higher processivity than CMT2, and DRM2-methylated regions have higher variation among cells. Based on these patterns, we developed a classifier that predicts enzyme activity in different species and tissues. To facilitate further single-read analyses, we developed a genome browser optimised for visualising and analysing NGS data at single-read resolution.


2004 ◽  
Vol 171 (4S) ◽  
pp. 389-389
Author(s):  
Manoj Monga ◽  
Ramakrishna Venkatesh ◽  
Sara Best ◽  
Caroline D. Ames ◽  
Courtney Lee ◽  
...  

1996 ◽  
Vol 41 (1) ◽  
pp. 52-53
Author(s):  
Lisa C. McGuire
Keyword(s):  

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