Detalhe da pesquisa
1.
Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR.
Nucleic Acids Res
; 51(D1): D678-D689, 2023 01 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-36350631
2.
Multiple spillovers from humans and onward transmission of SARS-CoV-2 in white-tailed deer.
Proc Natl Acad Sci U S A
; 119(6)2022 02 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35078920
3.
A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes.
Brief Bioinform
; 22(6)2021 11 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-34379107
4.
Signals of Significantly Increased Vaccine Breakthrough, Decreased Hospitalization Rates, and Less Severe Disease in Patients with Coronavirus Disease 2019 Caused by the Omicron Variant of Severe Acute Respiratory Syndrome Coronavirus 2 in Houston, Texas.
Am J Pathol
; 192(4): 642-652, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-35123975
5.
Delta Variants of SARS-CoV-2 Cause Significantly Increased Vaccine Breakthrough COVID-19 Cases in Houston, Texas.
Am J Pathol
; 192(2): 320-331, 2022 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34774517
6.
Sequence Analysis of 20,453 Severe Acute Respiratory Syndrome Coronavirus 2 Genomes from the Houston Metropolitan Area Identifies the Emergence and Widespread Distribution of Multiple Isolates of All Major Variants of Concern.
Am J Pathol
; 191(6): 983-992, 2021 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-33741335
7.
Trajectory of Growth of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants in Houston, Texas, January through May 2021, Based on 12,476 Genome Sequences.
Am J Pathol
; 191(10): 1754-1773, 2021 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34303698
8.
The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities.
Nucleic Acids Res
; 48(D1): D606-D612, 2020 01 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-31667520
9.
PATRIC as a unique resource for studying antimicrobial resistance.
Brief Bioinform
; 20(4): 1094-1102, 2019 07 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-28968762
10.
Predicting antimicrobial resistance using conserved genes.
PLoS Comput Biol
; 16(10): e1008319, 2020 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-33075053
11.
Predicting antimicrobial susceptibility from the bacterial genome: A new paradigm for one health resistance monitoring.
J Vet Pharmacol Ther
; 44(2): 223-237, 2021 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-33010049
12.
Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal Salmonella.
J Clin Microbiol
; 57(2)2019 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-30333126
13.
Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center.
Nucleic Acids Res
; 45(D1): D535-D542, 2017 01 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-27899627
14.
The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST).
Nucleic Acids Res
; 42(Database issue): D206-14, 2014 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-24293654
15.
Similarity of genes horizontally acquired by Escherichia coli and Salmonella enterica is evidence of a supraspecies pangenome.
Proc Natl Acad Sci U S A
; 108(50): 20154-9, 2011 Dec 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-22128332
16.
Genomes of the class Erysipelotrichia clarify the firmicute origin of the class Mollicutes.
Int J Syst Evol Microbiol
; 63(Pt 7): 2727-2741, 2013 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-23606477
17.
18F-fluorothymidine-pet imaging of glioblastoma multiforme: effects of radiation therapy on radiotracer uptake and molecular biomarker patterns.
ScientificWorldJournal
; 2013: 796029, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23690748
18.
Predicting variable gene content in Escherichia coli using conserved genes.
mSystems
; 8(4): e0005823, 2023 08 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-37314210
19.
Characterizing the native codon usages of a genome: an axis projection approach.
Mol Biol Evol
; 28(1): 211-21, 2011 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-20679093
20.
Classification of bacterial plasmid and chromosome derived sequences using machine learning.
PLoS One
; 17(12): e0279280, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36525447