Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Mengting Gu"'
Autor:
Jing Zhang, Donghoon Lee, Vineet Dhiman, Peng Jiang, Jie Xu, Patrick McGillivray, Hongbo Yang, Jason Liu, William Meyerson, Declan Clarke, Mengting Gu, Shantao Li, Shaoke Lou, Jinrui Xu, Lucas Lochovsky, Matthew Ung, Lijia Ma, Shan Yu, Qin Cao, Arif Harmanci, Koon-Kiu Yan, Anurag Sethi, Gamze Gürsoy, Michael Rutenberg Schoenberg, Joel Rozowsky, Jonathan Warrell, Prashant Emani, Yucheng T. Yang, Timur Galeev, Xiangmeng Kong, Shuang Liu, Xiaotong Li, Jayanth Krishnan, Yanlin Feng, Juan Carlos Rivera-Mulia, Jessica Adrian, James R Broach, Michael Bolt, Jennifer Moran, Dominic Fitzgerald, Vishnu Dileep, Tingting Liu, Shenglin Mei, Takayo Sasaki, Claudia Trevilla-Garcia, Su Wang, Yanli Wang, Chongzhi Zang, Daifeng Wang, Robert J. Klein, Michael Snyder, David M. Gilbert, Kevin Yip, Chao Cheng, Feng Yue, X. Shirley Liu, Kevin P. White, Mark Gerstein
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
ENCODE is a resource comprising thousands of functional genomic datasets. Here, the authors present custom annotation within ENCODE for cancer, highlighting a workflow that can help prioritise key elements in oncogenesis.
Externí odkaz:
https://doaj.org/article/d3ef1766b33842a5aa6bd3194efeba4e
Publikováno v:
Pain Research and Management, Vol 2022 (2022)
Background. Postoperative pain is a major adverse effect of surgery for mixed hemorrhoids. We evaluated whether spinal anesthesia with ropivacaine and hydromorphone provided safe and effective analgesia after surgery for mixed hemorrhoids. Methods. T
Externí odkaz:
https://doaj.org/article/8bb662dfe74548378c8b62021af15e6c
Autor:
Fábio C. P. Navarro, Hussein Mohsen, Chengfei Yan, Shantao Li, Mengting Gu, William Meyerson, Mark Gerstein
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-11 (2019)
Abstract Data science allows the extraction of practical insights from large-scale data. Here, we contextualize it as an umbrella term, encompassing several disparate subdomains. We focus on how genomics fits as a specific application subdomain, in t
Externí odkaz:
https://doaj.org/article/87af48c4265343c5950599e90d4d8cd4
Publikováno v:
Bulletin du Cancer. 110:265-274
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a173b2831834a1b7145a629a137279a5
https://doi.org/10.1016/j.bulcan.2023.01.008
https://doi.org/10.1016/j.bulcan.2023.01.008
Autor:
Joel Rozowsky, Jiahao Gao, Beatrice Borsari, Yucheng T. Yang, Timur Galeev, Gamze Gürsoy, Charles B. Epstein, Kun Xiong, Jinrui Xu, Tianxiao Li, Jason Liu, Keyang Yu, Ana Berthel, Zhanlin Chen, Fabio Navarro, Maxwell S. Sun, James Wright, Justin Chang, Christopher J.F. Cameron, Noam Shoresh, Elizabeth Gaskell, Jorg Drenkow, Jessika Adrian, Sergey Aganezov, François Aguet, Gabriela Balderrama-Gutierrez, Samridhi Banskota, Guillermo Barreto Corona, Sora Chee, Surya B. Chhetri, Gabriel Conte Cortez Martins, Cassidy Danyko, Carrie A. Davis, Daniel Farid, Nina P. Farrell, Idan Gabdank, Yoel Gofin, David U. Gorkin, Mengting Gu, Vivian Hecht, Benjamin C. Hitz, Robbyn Issner, Yunzhe Jiang, Melanie Kirsche, Xiangmeng Kong, Bonita R. Lam, Shantao Li, Bian Li, Xiqi Li, Khine Zin Lin, Ruibang Luo, Mark Mackiewicz, Ran Meng, Jill E. Moore, Jonathan Mudge, Nicholas Nelson, Chad Nusbaum, Ioann Popov, Henry E. Pratt, Yunjiang Qiu, Srividya Ramakrishnan, Joe Raymond, Leonidas Salichos, Alexandra Scavelli, Jacob M. Schreiber, Fritz J. Sedlazeck, Lei Hoon See, Rachel M. Sherman, Xu Shi, Minyi Shi, Cricket Alicia Sloan, J Seth Strattan, Zhen Tan, Forrest Y. Tanaka, Anna Vlasova, Jun Wang, Jonathan Werner, Brian Williams, Min Xu, Chengfei Yan, Lu Yu, Christopher Zaleski, Jing Zhang, Kristin Ardlie, J Michael Cherry, Eric M. Mendenhall, William S. Noble, Zhiping Weng, Morgan E. Levine, Alexander Dobin, Barbara Wold, Ali Mortazavi, Bing Ren, Jesse Gillis, Richard M. Myers, Michael P. Snyder, Jyoti Choudhary, Aleksandar Milosavljevic, Michael C. Schatz, Bradley E. Bernstein, Roderic Guigó, Thomas R. Gingeras, Mark Gerstein
Understanding how genetic variants impact molecular phenotypes is a key goal of functional genomics, currently hindered by reliance on a single haploid reference genome. Here, we present the EN-TEx resource of 1,635 open-access datasets from four don
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::464939170ba93b49ee4e474d325702f1
http://hdl.handle.net/10230/56942
http://hdl.handle.net/10230/56942
Autor:
Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi
Publikováno v:
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) ISBN: 9781611977653
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b91fa404c581b7ae55e960379226f0e8
https://doi.org/10.1137/1.9781611977653.ch50
https://doi.org/10.1137/1.9781611977653.ch50
Autor:
Qin Cao, Kevin Y. Yip, Qiong Wu, Mark Gerstein, Ricky Wai-Lun Chan, Mengting Gu, Edwin Yu-Kiu Ho
Publikováno v:
Briefings in Bioinformatics. 21:836-850
Since the 1st discovery of transcriptional enhancers in 1981, their textbook definition has remained largely unchanged in the past 37 years. With the emergence of high-throughput assays and genome editing, which are switching the paradigm from bottom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1487028d7a79f52dd2209e60f0bef097
https://doi.org/10.1093/bib/bbz030
https://doi.org/10.1093/bib/bbz030
Autor:
Joel Rozowsky, Jorg Drenkow, Yucheng T Yang, Gamze Gursoy, Timur Galeev, Beatrice Borsari, Charles B Epstein, Kun Xiong, Jinrui Xu, Jiahao Gao, Keyang Yu, Ana Berthel, Zhanlin Chen, Fabio Navarro, Jason Liu, Maxwell S Sun, James Wright, Justin Chang, Christopher JF Cameron, Noam Shoresh, Elizabeth Gaskell, Jessika Adrian, Sergey Aganezov, François Aguet, Gabriela Balderrama-Gutierrez, Samridhi Banskota, Guillermo Barreto Corona, Sora Chee, Surya B Chhetri, Gabriel Conte Cortez Martins, Cassidy Danyko, Carrie A Davis, Daniel Farid, Nina P Farrell, Idan Gabdank, Yoel Gofin, David U Gorkin, Mengting Gu, Vivian Hecht, Benjamin C Hitz, Robbyn Issner, Melanie Kirsche, Xiangmeng Kong, Bonita R Lam, Shantao Li, Bian Li, Tianxiao Li, Xiqi Li, Khine Zin Lin, Ruibang Luo, Mark Mackiewicz, Jill E Moore, Jonathan Mudge, Nicholas Nelson, Chad Nusbaum, Ioann Popov, Henry E Pratt, Yunjiang Qiu, Srividya Ramakrishnan, Joe Raymond, Leonidas Salichos, Alexandra Scavelli, Jacob M Schreiber, Fritz J Sedlazeck, Lei Hoon See, Rachel M Sherman, Xu Shi, Minyi Shi, Cricket Alicia Sloan, J Seth Strattan, Zhen Tan, Forrest Y Tanaka, Anna Vlasova, Jun Wang, Jonathan Werner, Brian Williams, Min Xu, Chengfei Yan, Lu Yu, Christopher Zaleski, Jing Zhang, Kristin Ardlie, J Michael Cherry, Eric M Mendenhall, William S Noble, Zhiping Weng, Morgan E Levine, Alexander Dobin, Barbara Wold, Ali Mortazavi, Bing Ren, Jesse Gillis, Richard M Myers, Michael P Snyder, Jyoti Choudhary, Aleksandar Milosavljevic, Michael C Schatz, Roderic Guigó, Bradley E Bernstein, Thomas R Gingeras, Mark Gerstein
Understanding how genetic variants impact molecular phenotypes is a key goal of functional genomics, currently hindered by reliance on a single haploid reference genome. Here, we present the EN-TEx resource of personal epigenomes, for ∼25 tissues a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f293c3be99001dfcca0596fbe318c048
https://doi.org/10.1101/2021.04.26.441442
https://doi.org/10.1101/2021.04.26.441442