Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Michael Snyder"'
Autor:
Ashkan Dehghani Zahedani, Tracey McLaughlin, Arvind Veluvali, Nima Aghaeepour, Amir Hosseinian, Saransh Agarwal, Jingyi Ruan, Shital Tripathi, Mark Woodward, Noosheen Hashemi, Michael Snyder
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-15 (2023)
Abstract The effectiveness of lifestyle interventions in reducing caloric intake and increasing physical activity for preventing Type 2 Diabetes (T2D) has been previously demonstrated. The use of modern technologies can potentially further improve th
Externí odkaz:
https://doaj.org/article/34e3833414eb4654a6792ab33c1e9f8b
Autor:
Ashkan Dehghani Zahedani, Tracey McLaughlin, Arvind Veluvali, Nima Aghaeepour, Amir Hosseinian, Saransh Agarwal, Jingyi Ruan, Shital Tripathi, Mark Woodward, Noosheen Hashemi, Michael Snyder
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/da8ebbd98cfb4cd79fa2788d854130fa
Autor:
Gábor Torma, Dóra Tombácz, Norbert Moldován, Ádám Fülöp, István Prazsák, Zsolt Csabai, Michael Snyder, Zsolt Boldogkői
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract In this study, two long-read sequencing (LRS) techniques, MinION from Oxford Nanopore Technologies and Sequel from the Pacific Biosciences, were used for the transcriptional characterization of a prototype baculovirus, Autographa californica
Externí odkaz:
https://doaj.org/article/74d365d3689644c38060e9411fe37614
Autor:
Balázs Kakuk, Dóra Tombácz, Zsolt Balázs, Norbert Moldován, Zsolt Csabai, Gábor Torma, Klára Megyeri, Michael Snyder, Zsolt Boldogkői
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Long-read sequencing (LRS), a powerful novel approach, is able to read full-length transcripts and confers a major advantage over the earlier gold standard short-read sequencing in the efficiency of identifying for example polycistronic tran
Externí odkaz:
https://doaj.org/article/e5ae7a377ae74350a2bdba4034307c60
Autor:
Wei Cao, Hayan Lee, Wei Wu, Aubhishek Zaman, Sean McCorkle, Ming Yan, Justin Chen, Qinghe Xing, Nasa Sinnott-Armstrong, Hongen Xu, M. Reza Sailani, Wenxue Tang, Yuanbo Cui, Jia liu, Hongyan Guan, Pengju Lv, Xiaoyan Sun, Lei Sun, Pengli Han, Yanan Lou, Jing Chang, Jinwu Wang, Yuchi Gao, Jiancheng Guo, Gundolf Schenk, Alan Hunter Shain, Fred G. Biddle, Eric Collisson, Michael Snyder, Trever G. Bivona
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-19 (2020)
The epigenetic landscape of esophageal squamous cell carcinoma (ESCC) at genome-wide high resolution is incompletely studied. Here, the authors performed an integrated multi-omics analysis of ESCC and non-tumor tissues to define the genome-wide methy
Externí odkaz:
https://doaj.org/article/2d7895e7d5f748e48174da98ff21c531
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
Autor:
Volodymyr Kuleshov, Jialin Ding, Christopher Vo, Braden Hancock, Alexander Ratner, Yang Li, Christopher Ré, Serafim Batzoglou, Michael Snyder
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
Most databases of genotype-phenotype associations are manually curated. Here, Kuleshov et al. describe a machine curation system that extracts such relationships from the GWAS literature and synthesizes them into a structured knowledge base called GW
Externí odkaz:
https://doaj.org/article/135413e32e4e44818c854af561c0bb48
Autor:
Dóra Tombácz, Zoltán Maróti, Tibor Kalmár, Zsolt Csabai, Zsolt Balázs, Shinichi Takahashi, Miklós Palkovits, Michael Snyder, Zsolt Boldogkői
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract We carried out whole-exome ultra-high throughput sequencing in brain samples of suicide victims who had suffered from major depressive disorder and control subjects who had died from other causes. This study aimed to reveal the selective acc
Externí odkaz:
https://doaj.org/article/47c6d15ebb1a4226b419daeb6007e137
Discovery of Novel Human Gene Regulatory Modules from Gene Co-expression and Promoter Motif Analysis
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-16 (2017)
Abstract Deciphering gene regulatory networks requires identification of gene expression modules. We describe a novel bottom-up approach to identify gene modules regulated by cis-regulatory motifs from a human gene co-expression network. Target genes
Externí odkaz:
https://doaj.org/article/28d98b6695fd4ff6827580ddae4e90a9
Autor:
Yuqi Guo, Chengzhi Xie, Xiyan Li, Jian Yang, Tao Yu, Ruohan Zhang, Tianqing Zhang, Deepak Saxena, Michael Snyder, Yingjie Wu, Xin Li
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-12 (2017)
Bone loss is common in patients with diabetes, but the underlying molecular and cellular mechanisms are unclear. Here the authors show high succinate levels in mice with type 2 diabetes and that succinate can signal through succinate receptor 1 on os
Externí odkaz:
https://doaj.org/article/107d67f077f641adbe8dbcbec6310835