Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Gonzalez Jr, Ruben L."'
A critical step in data analysis for many different types of experiments is the identification of features with theoretically defined shapes in N-dimensional datasets; examples of this process include finding peaks in multi-dimensional molecular spec
Externí odkaz:
http://arxiv.org/abs/2109.12462
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ghanti, Dipanwita, Caban, Kelvin, Frank, Joachim, Gonzalez, Jr., Ruben L., Chowdhury, Debashish
During the initiation stage of protein synthesis, a ribosomal initiation complex (IC) is assembled on a messenger RNA (mRNA) template. In bacteria, the speed and accuracy of this assembly process are regulated by the complementary activities of three
Externí odkaz:
http://arxiv.org/abs/1802.02066
Autor:
Kinz-Thompson, Colin D., Sharma, Ajeet K., Frank, Joachim, Gonzalez, Jr., Ruben L., Chowdhury, Debashish
Publikováno v:
Journal of Physical Chemistry B (ACS, USA, 2015), vol. 119, 10888 (2015)
At equilibrium, thermodynamic and kinetic information can be extracted from biomolecular energy landscapes by many techniques. However, while static, ensemble techniques yield thermodynamic data, often only dynamic, single-molecule techniques can yie
Externí odkaz:
http://arxiv.org/abs/1705.10286
Autor:
van de Meent, Jan-Willem, Bronson, Jonathan E., Wood, Frank, Gonzalez Jr., Ruben L., Wiggins, Chris H.
Publikováno v:
International Conference on Machine Learning 2013
We address the problem of analyzing sets of noisy time-varying signals that all report on the same process but confound straightforward analyses due to complex inter-signal heterogeneities and measurement artifacts. In particular we consider single-m
Externí odkaz:
http://arxiv.org/abs/1305.3640
Autor:
Bronson, Jonathan E., Hofman, Jake M., Fei, Jingyi, Gonzalez Jr., Ruben L., Wiggins, Chris H.
Background: The recent explosion of experimental techniques in single molecule biophysics has generated a variety of novel time series data requiring equally novel computational tools for analysis and inference. This article describes in general term
Externí odkaz:
http://arxiv.org/abs/1009.0857
Autor:
Fei, Jingyi, Bronson, Jonathan E., Hofman, Jake M., Srinivas, Rathi L., Wiggins, Chris H., Gonzalez, Jr, Ruben L.
Determining the mechanism by which transfer RNAs (tRNAs) rapidly and precisely transit through the ribosomal A, P and E sites during translation remains a major goal in the study of protein synthesis. Here, we report the real-time dynamics of the L1
Externí odkaz:
http://arxiv.org/abs/0909.0466
Autor:
Bronson, Jonathan E., Fei, Jingyi, Hofman, Jake M., Gonzalez, Jr., Ruben L., Wiggins, Chris H.
Time series data provided by single-molecule Forster resonance energy transfer (sm-FRET) experiments offer the opportunity to infer not only model parameters describing molecular complexes, e.g. rate constants, but also information about the model it
Externí odkaz:
http://arxiv.org/abs/0907.3156
A critical step in data analysis for many different types of experiments is the identification of features with theoretically defined shapes in N-dimensional datasets; examples of this process include finding peaks in multi-dimensional molecular spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c971404ea9c756194c211f834f9348a
Autor:
Hassan, Asem, Byju, Sandra, Freitas, Frederico Campos, Roc, Claude, Pender, Nisaa, Nguyen, Kien, Kimbrough, Evelyn M, Mattingly, Jacob M, Gonzalez Jr., Ruben L, de Oliveira, Ronaldo Junio, Dunham, Christine M, Whitford, Paul C
Publikováno v:
Nucleic Acids Research; 1/25/2023, Vol. 51 Issue 2, p919-934, 16p