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Kai Li Tan
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Method
:
Predictive modeling of single-cell DNA methylome data enhances integration with transcriptome data
Yasin Uzun
,
Hao Wu
,
and
Kai Tan
Genome Res.
January 2021
31
:
101
-
109
;
Published in Advance
November 20, 2020
,
doi:
10.1101/gr.267047.120
Abstract
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Method
:
Large-scale identification of chemically induced mutations in
Drosophila melanogaster
Nele A. Haelterman
,
Lichun Jiang
,
Yumei Li
,
Vafa Bayat
,
Hector Sandoval
,
Berrak Ugur
,
Kai Li Tan
,
Ke Zhang
,
Danqing Bei
,
Bo Xiong
,
Wu-Lin Charng
,
Theodore Busby
,
Adeel Jawaid
,
Gabriela David
,
Manish Jaiswal
,
Koen J.T. Venken
,
Shinya Yamamoto
,
Rui Chen
,
and
Hugo J. Bellen
Genome Res.
October 2014
24
:
1707
-
1718
;
Published in Advance
September 25, 2014
,
doi:
10.1101/gr.174615.114
Abstract
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Research
:
Coevolution within a transcriptional network by compensatory
trans
and
cis
mutations
Dwight Kuo
,
Katherine Licon
,
Sourav Bandyopadhyay
,
Ryan Chuang
,
Colin Luo
,
Justin Catalana
,
Timothy Ravasi
,
Kai Tan
,
and
Trey Ideker
Genome Res.
December 2010
20
:
1672
-
1678
;
Published in Advance
October 26, 2010
,
doi:
10.1101/gr.111765.110
Abstract
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Methods
:
Making connections between novel transcription factors and their DNA motifs
Kai Tan
,
Lee Ann McCue
,
and
Gary D. Stormo
Genome Res.
February 2005
15
:
312
-
320
;
Published in Advance
January 14, 2005
,
doi:
10.1101/gr.3069205
Abstract
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LETTER
:
A Comparative Genomics Approach to Prediction of New Members of Regulons
Kai Tan
,
Gabriel Moreno-Hagelsieb
,
Julio Collado-Vides
,
and
Gary D. Stormo
Genome Res.
April 1, 2001
11
:
566
-
584
;
doi:
10.1101/gr.149301
Abstract
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