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STAG-CNS: An Order-Aware Conserved Non-coding Sequences Discovery Tool For Arbitrary Numbers of Species
View ORCID ProfileXianjun Lai, Sairam Behera, View ORCID ProfileZhikai Liang, Yanli Lu, Jitender S Deogun, View ORCID ProfileJames C. Schnable
doi: https://doi.org/10.1101/120428
Xianjun Lai
1Center for Plant Science Innovation & Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, 68588, USA
3Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
Sairam Behera
2Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, 68588, USA
Zhikai Liang
1Center for Plant Science Innovation & Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, 68588, USA
Yanli Lu
3Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
Jitender S Deogun
2Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, 68588, USA
James C. Schnable
1Center for Plant Science Innovation & Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, 68588, USA
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Posted March 24, 2017.
STAG-CNS: An Order-Aware Conserved Non-coding Sequences Discovery Tool For Arbitrary Numbers of Species
Xianjun Lai, Sairam Behera, Zhikai Liang, Yanli Lu, Jitender S Deogun, James C. Schnable
bioRxiv 120428; doi: https://doi.org/10.1101/120428
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