Zobrazeno 1 - 10
of 232
pro vyhledávání: '"Gary D Stormo"'
Autor:
Shuxiang Ruan, Gary D Stormo
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 7, p e1005638 (2017)
The specificities of transcription factors are most commonly represented with probabilistic models. These models provide a probability for each base occurring at each position within the binding site and the positions are assumed to contribute indepe
Externí odkaz:
https://doaj.org/article/b641f07510644fa488d56903fb9e01af
Autor:
Barrett C Foat, Gary D Stormo
Publikováno v:
Molecular Systems Biology, Vol 5, Iss 1, Pp 1-14 (2009)
Abstract Gene expression is regulated at each step from chromatin remodeling through translation and degradation. Several known RNA‐binding regulatory proteins interact with specific RNA secondary structures in addition to specific nucleotides. To
Externí odkaz:
https://doaj.org/article/cf3d5abcf5c5435f8bf3a372a83d679a
Autor:
Claudia Coronnello, Ryan Hartmaier, Arshi Arora, Luai Huleihel, Kusum V Pandit, Abha S Bais, Michael Butterworth, Naftali Kaminski, Gary D Stormo, Steffi Oesterreich, Panayiotis V Benos
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 12, p e1002830 (2012)
MicroRNAs (miRNAs) are post-transcriptional regulators that bind to their target mRNAs through base complementarity. Predicting miRNA targets is a challenging task and various studies showed that existing algorithms suffer from high number of false p
Externí odkaz:
https://doaj.org/article/339303221d764941b8c095c5b2d6688a
Autor:
Lala M Motlhabi, Gary D Stormo
Publikováno v:
PLoS ONE, Vol 6, Iss 9, p e24908 (2011)
Identifying the DNA binding sites for transcription factors is a key task in modeling the gene regulatory network of a cell. Predicting DNA binding sites computationally suffers from high false positives and false negatives due to various contributin
Externí odkaz:
https://doaj.org/article/7efd3e8258b3443285a76a925ccb1088
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 12, p e1000590 (2009)
We employ a biophysical model that accounts for the non-linear relationship between binding energy and the statistics of selected binding sites. The model includes the chemical potential of the transcription factor, non-specific binding affinity of t
Externí odkaz:
https://doaj.org/article/c4a8e23f9168473e837a5d2b31dd130b
Publikováno v:
PLoS ONE, Vol 4, Iss 8, p e6736 (2009)
BACKGROUND:The binding of transcription factors to their respective DNA sites is a key component of every regulatory network. Predictions of transcription factor binding sites are usually based on models for transcription factor specificity. These mo
Externí odkaz:
https://doaj.org/article/2b45baa793224610ab89df6e0b57f45c
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 4, p e1000338 (2009)
An increasing number of cis-regulatory RNA elements have been found to regulate gene expression post-transcriptionally in various biological processes in bacterial systems. Effective computational tools for large-scale identification of novel regulat
Externí odkaz:
https://doaj.org/article/dec0311a0f364940bf0627c5c976bae1
Publikováno v:
PLoS ONE, Vol 2, Iss 2, p e262 (2007)
Inverted repeats have been found to occur in both prokaryotic and eukaryotic genomes. Usually they are short and some have important functions in various biological processes. However, long inverted repeats are rare and can cause genome instability.
Externí odkaz:
https://doaj.org/article/c0edb721268141e88975dd1895c95905
Autor:
Olga Baidukova, Ian K. Blaby, Crysten E. Blaby-Haas, Michal Breker-Dekel, Rory J. Craig, Tatyana Darienko, Susan K. Dutcher, Benjamin D. Engel, Anne G. Glaesener, Ursula Goodenough, Peter Hegemann, Colleen Hui, Sunjoo Joo, Simon Kelterborn, Yusuke Kobayashi, Jae-Hyeok Lee, Xiaobo Li, Dianyi Liu, Luke C.M. Mackinder, Stephen M. Miller, Yoshiki Nishimura, Hisayoshi Nozaki, Thomas Pröschold, Stefan Schmollinger, Carolyn D. Silflow, Irina Sizova, William J. Snell, Maria J. Soto, Gary D. Stormo, Frej Tulin, James Umen, Olivier Vallon, Yulong Wang, Donald P. Weeks, Jenna Wingfield, Yuqing Yang
Publikováno v:
The Chlamydomonas Sourcebook ISBN: 9780128224571
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ee421528be3720187e44f6543536f42
https://doi.org/10.1016/b978-0-12-822457-1.00026-1
https://doi.org/10.1016/b978-0-12-822457-1.00026-1
Autor:
Susan K. Dutcher, Gary D. Stormo
Publikováno v:
The Chlamydomonas Sourcebook ISBN: 9780128224571
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::462d605402a13d83020a5826179b729d
https://doi.org/10.1016/b978-0-12-822457-1.00014-5
https://doi.org/10.1016/b978-0-12-822457-1.00014-5