Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sara Knaack"'
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-18 (2019)
Existing computational approaches to predict long-range regulatory interactions do not fully exploit high-resolution Hi-C datasets. Here the authors present a Random Forests regression-based approach to predict high-resolution Hi-C counts using one-d
Externí odkaz:
https://doaj.org/article/371269a5f21c4aab82d477791ec36389
Autor:
Alireza Fotuhi Siahpirani, Sara Knaack, Deborah Chasman, Morten Seirup, Rupa Sridharan, Ron Stewart, James Thomson, Sushmita Roy
Publikováno v:
Genome Research. 32:1367-1384
Changes in transcriptional regulatory networks can significantly alter cell fate. To gain insight into transcriptional dynamics, several studies have profiled bulk multi-omic data sets with parallel transcriptomic and epigenomic measurements at diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::599bf7044f7a598fe1cb9a2bc07797e4
https://doi.org/10.1101/gr.276542.121
https://doi.org/10.1101/gr.276542.121
Autor:
Thomas B Irving, Sanhita Chakraborty, Lucas Gontijo Silva Maia, Sara Knaack, Daniel Conde, Henry W Schmidt, Paolo M Triozzi, Carl H Simmons, Sushmita Roy, Matias Kirst, Jean-Michel Ané
Publikováno v:
Plant physiology. 190(3)
The transcription factor NODULE INCEPTION (NIN) has been studied extensively for its multiple roles in root nodule symbiosis within plants of the nitrogen-fixing clade (NFC) that associate with soil bacteria, such as rhizobia and Frankia. However, NI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0db11ad5b244d706dd0a50e4777a5bae
https://pubmed.ncbi.nlm.nih.gov/35929094
https://pubmed.ncbi.nlm.nih.gov/35929094