Detalhe da pesquisa
1.
METACLUSTER-an R package for context-specific expression analysis of metabolic gene clusters.
Bioinformatics
; 35(17): 3178-3180, 2019 09 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30657869
2.
Genomic diversity of a nectar yeast clusters into metabolically, but not geographically, distinct lineages.
Mol Ecol
; 27(8): 2067-2076, 2018 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-29446179
3.
Genome-Wide Prediction of Metabolic Enzymes, Pathways, and Gene Clusters in Plants.
Plant Physiol
; 173(4): 2041-2059, 2017 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-28228535
4.
ARSK1 activates TORC1 signaling to adjust growth to phosphate availability in Arabidopsis.
Curr Biol
; 33(9): 1778-1786.e5, 2023 05 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-36963384
5.
Hybrid allele-specific ChIP-seq analysis identifies variation in brassinosteroid-responsive transcription factor binding linked to traits in maize.
Genome Biol
; 24(1): 108, 2023 05 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-37158941
6.
Editorial: Modern machine learning approaches for quantitative inference of gene regulation from genomic and epigenomic features.
Front Plant Sci
; 14: 1330793, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38078107
7.
Computational inference of gene regulatory networks: Approaches, limitations and opportunities.
Biochim Biophys Acta Gene Regul Mech
; 1860(1): 41-52, 2017 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-27641093
8.
Enhancing gene regulatory network inference through data integration with markov random fields.
Sci Rep
; 7: 41174, 2017 02 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-28145456
9.
PictureSensation - a mobile application to help the blind explore the visual world through touch and sound.
J Rehabil Assist Technol Eng
; 3: 2055668316674582, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-31186914
10.
microProtein Prediction Program (miP3): A Software for Predicting microProteins and Their Target Transcription Factors.
Int J Genomics
; 2015: 734147, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26060811
11.
iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases.
Mol Plant
; 9(12): 1667-1670, 2016 12 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-27717919