Zobrazeno 1 - 10
of 168
pro vyhledávání: '"David J Galas"'
Autor:
Lisa Uechi, Mahjoubeh Jalali, Jayson D Wilbur, Jonathan L French, N L Jumbe, Michael J Meaney, Peter D Gluckman, Neerja Karnani, Nikita A Sakhanenko, David J Galas, GUSTO study group
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0242684 (2020)
The genetic mechanisms of childhood development in its many facets remain largely undeciphered. In the population of healthy infants studied in the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) program, we have identified a range of depend
Externí odkaz:
https://doaj.org/article/010698ddab7d40bfbe98976b97f6b708
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e92310 (2014)
Phenotypic variation, including that which underlies health and disease in humans, results in part from multiple interactions among both genetic variation and environmental factors. While diseases or phenotypes caused by single gene variants can be i
Externí odkaz:
https://doaj.org/article/bf8be54af37246b481e56953a661e1f6
Publikováno v:
PLoS ONE, Vol 7, Iss 7, p e41561 (2012)
MicroRNAs (miRNAs) are small, non-coding RNAs that regulate various biological processes, primarily through interaction with messenger RNAs. The levels of specific, circulating miRNAs in blood have been shown to associate with various pathological co
Externí odkaz:
https://doaj.org/article/cfd0d33ae6c249e0a24244d30b950972
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 4, p e1000347 (2009)
Extraction of all the biological information inherent in large-scale genetic interaction datasets remains a significant challenge for systems biology. The core problem is essentially that of classification of the relationships among phenotypes of mut
Externí odkaz:
https://doaj.org/article/457d426057ce46849b9ab615ebbe7064
Publikováno v:
Journal of Computational Biology. 30:323-336
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::627182b8eb38ebf67bc60e2e018c8e66
https://doi.org/10.1089/cmb.2022.0185
https://doi.org/10.1089/cmb.2022.0185
Autor:
Anna Heintz-Buschart, Dilmurat Yusuf, Anne Kaysen, Alton Etheridge, Joëlle V. Fritz, Patrick May, Carine de Beaufort, Bimal B. Upadhyaya, Anubrata Ghosal, David J. Galas, Paul Wilmes
Publikováno v:
BMC Biology, Vol 16, Iss 1, Pp 1-11 (2018)
Abstract Background Sequencing-based analyses of low-biomass samples are known to be prone to misinterpretation due to the potential presence of contaminating molecules derived from laboratory reagents and environments. DNA contamination has been pre
Externí odkaz:
https://doaj.org/article/8b2b41bda48e425682443b89d06c85b6
Autor:
Bogdan Mateescu, Jennifer C. Jones, Roger P. Alexander, Eric Alsop, Ji Yeong An, Mohammad Asghari, Alex Boomgarden, Laura Bouchareychas, Alfonso Cayota, Hsueh-Chia Chang, Al Charest, Daniel T. Chiu, Robert J. Coffey, Saumya Das, Peter De Hoff, Andrew deMello, Crislyn D’Souza-Schorey, David Elashoff, Kiarash R. Eliato, Jeffrey L. Franklin, David J. Galas, Mark B. Gerstein, Ionita H. Ghiran, David B. Go, Stephen Gould, Tristan R. Grogan, James N. Higginbotham, Florian Hladik, Tony Jun Huang, Xiaoye Huo, Elizabeth Hutchins, Dennis K. Jeppesen, Tijana Jovanovic-Talisman, Betty Y.S. Kim, Sung Kim, Kyoung-Mee Kim, Yong Kim, Robert R. Kitchen, Vaughan Knouse, Emily L. LaPlante, Carlito B. Lebrilla, L. James Lee, Kathleen M. Lennon, Guoping Li, Feng Li, Tieyi Li, Tao Liu, Zirui Liu, Adam L. Maddox, Kyle McCarthy, Bessie Meechoovet, Nalin Maniya, Yingchao Meng, Aleksandar Milosavljevic, Byoung-Hoon Min, Amber Morey, Martin Ng, John Nolan, Getulio P. De Oliveira Junior, Michael E. Paulaitis, Tuan Anh Phu, Robert L. Raffai, Eduardo Reátegui, Matthew E. Roth, David A. Routenberg, Joel Rozowsky, Joseph Rufo, Satyajyoti Senapati, Sigal Shachar, Himani Sharma, Anil K. Sood, Stavros Stavrakis, Alessandra Stürchler, Muneesh Tewari, Juan P. Tosar, Alexander K. Tucker-Schwartz, Andrey Turchinovich, Nedyalka Valkov, Kendall Van Keuren-Jensen, Kasey C. Vickers, Lucia Vojtech, Wyatt N. Vreeland, Ceming Wang, Kai Wang, ZeYu Wang, Joshua A. Welsh, Kenneth W. Witwer, David T.W. Wong, Jianping Xia, Ya-Hong Xie, Kaichun Yang, Mikołaj P. Zaborowski, Chenguang Zhang, Qin Zhang, Angela M. Zivkovic, Louise C. Laurent
Publikováno v:
iScience, vol 25, iss 8
iScience, 25 (8)
iScience, 25 (8)
The extracellular RNA communication consortium (ERCC) is an NIH-funded program aiming to promote the development of new technologies, resources, and knowledge about exRNAs and their carriers. After Phase 1 (2013-2018), Phase 2 of the program (ERCC2,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41098d05644c9cde67f957fa4e672b43
https://escholarship.org/uc/item/3kb836x3
https://escholarship.org/uc/item/3kb836x3
Publikováno v:
Journal of Computational Biology
Quantitative genetics has evolved dramatically in the past century, and the proliferation of genetic data, in quantity as well as type, enables the characterization of complex interactions and mechanisms beyond the scope of its theoretical foundation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::905b9bc5e0bd0176430c6d8657e25326
https://doi.org/10.1089/cmb.2020.0032
https://doi.org/10.1089/cmb.2020.0032
Autor:
David J. Galas, Nikita A. Sakhanenko
Publikováno v:
Entropy, Vol 21, Iss 1, p 88 (2019)
Relations between common information measures include the duality relations based on Möbius inversion on lattices, which are the direct consequence of the symmetries of the lattices of the sets of variables (subsets ordered by inclusion). In this pa
Externí odkaz:
https://doaj.org/article/6176b8efb1304e6ba68c58c77fa976ab
Autor:
David J. Galas, David J. Erle, Alton Etheridge, Louise C. Laurent, Andrea J. Barczak, Srimeenakshi Srinivasan, Paula M. Godoy, Peter DeHoff, Saumya Das
Publikováno v:
Cell Reports, Vol 29, Iss 12, Pp 4212-4222.e5 (2019)
Cell reports, vol 29, iss 12
Cell reports
Cell reports, vol 29, iss 12
Cell reports
SUMMARY Given the increasing interest in their use as disease biomarkers, the establishment of reproducible, accurate, sensitive, and specific platforms for microRNA (miRNA) quantification in biofluids is of high priority. We compare four platforms f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c0de09f4ea50fd7da3e62976be0dba7
http://www.sciencedirect.com/science/article/pii/S2211124719315694
http://www.sciencedirect.com/science/article/pii/S2211124719315694