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Institution

University of Utah

EducationSalt Lake City, Utah, United States
About: University of Utah is a education organization based out in Salt Lake City, Utah, United States. It is known for research contribution in the topics: Population & Medicine. The organization has 52894 authors who have published 124076 publications receiving 5265834 citations. The organization is also known as: The U & The University of Utah.


Papers
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Journal ArticleDOI
21 Sep 2000-Nature
TL;DR: The functional implications of the high-resolution 30S crystal structure are described, and details of the interactions between the 30S subunit and its tRNA and mRNA ligands are inferred, which lead to a model for the role of the universally conserved 16S RNA residues A1492 and A1493 in the decoding process.
Abstract: The 30S ribosomal subunit has two primary functions in protein synthesis. It discriminates against aminoacyl transfer RNAs that do not match the codon of messenger RNA, thereby ensuring accuracy in translation of the genetic message in a process called decoding. Also, it works with the 50S subunit to move the tRNAs and associated mRNA by precisely one codon, in a process called translocation. Here we describe the functional implications of the high-resolution 30S crystal structure presented in the accompanying paper, and infer details of the interactions between the 30S subunit and its tRNA and mRNA ligands. We also describe the crystal structure of the 30S subunit complexed with the antibiotics paromomycin, streptomycin and spectinomycin, which interfere with decoding and translocation. This work reveals the structural basis for the action of these antibiotics, and leads to a model for the role of the universally conserved 16S RNA residues A1492 and A1493 in the decoding process.

1,508 citations

Journal ArticleDOI
TL;DR: In this paper, the steric repulsion free energy and van der Waals attraction free energy of polyethylene oxide (PEO) chains were calculated as a function of surface density and chain length of PEO.

1,507 citations

Journal ArticleDOI
TL;DR: It is suggested that synthesis of NO mediates much of the antimicrobial activity of mouse macrophages against some fungal, helminthic, protozoal and bacterial pathogens.

1,507 citations

Journal ArticleDOI
TL;DR: MAKER2 is the first annotation engine specifically designed for second-generation genome projects, which scales to datasets of any size, requires little in the way of training data, and can use mRNA-seq data to improve annotation quality.
Abstract: Second-generation sequencing technologies are precipitating major shifts with regards to what kinds of genomes are being sequenced and how they are annotated. While the first generation of genome projects focused on well-studied model organisms, many of today's projects involve exotic organisms whose genomes are largely terra incognita. This complicates their annotation, because unlike first-generation projects, there are no pre-existing 'gold-standard' gene-models with which to train gene-finders. Improvements in genome assembly and the wide availability of mRNA-seq data are also creating opportunities to update and re-annotate previously published genome annotations. Today's genome projects are thus in need of new genome annotation tools that can meet the challenges and opportunities presented by second-generation sequencing technologies. We present MAKER2, a genome annotation and data management tool designed for second-generation genome projects. MAKER2 is a multi-threaded, parallelized application that can process second-generation datasets of virtually any size. We show that MAKER2 can produce accurate annotations for novel genomes where training-data are limited, of low quality or even non-existent. MAKER2 also provides an easy means to use mRNA-seq data to improve annotation quality; and it can use these data to update legacy annotations, significantly improving their quality. We also show that MAKER2 can evaluate the quality of genome annotations, and identify and prioritize problematic annotations for manual review. MAKER2 is the first annotation engine specifically designed for second-generation genome projects. MAKER2 scales to datasets of any size, requires little in the way of training data, and can use mRNA-seq data to improve annotation quality. It can also update and manage legacy genome annotation datasets.

1,504 citations

Journal ArticleDOI
TL;DR: The results demonstrate that MAKER provides a simple and effective means to convert a genome sequence into a community-accessible genome database, and should prove especially useful for emerging model organism genome projects for which extensive bioinformatics resources may not be readily available.
Abstract: We have developed a portable and easily configurable genome annotation pipeline called MAKER. Its purpose is to allow investigators to independently annotate eukaryotic genomes and create genome databases. MAKER identifies repeats, aligns ESTs and proteins to a genome, produces ab initio gene predictions, and automatically synthesizes these data into gene annotations having evidence-based quality indices. MAKER is also easily trainable: Outputs of preliminary runs are used to automatically retrain its gene-prediction algorithm, producing higher-quality gene-models on subsequent runs. MAKER’s inputs are minimal, and its outputs can be used to create a GMOD database. Its outputs can also be viewed in the Apollo Genome browser; this feature of MAKER provides an easy means to annotate, view, and edit individual contigs and BACs without the overhead of a database. As proof of principle, we have used MAKER to annotate the genome of the planarian Schmidtea mediterranea and to create a new genome database, SmedGD. We have also compared MAKER’s performance to other published annotation pipelines. Our results demonstrate that MAKER provides a simple and effective means to convert a genome sequence into a community-accessible genome database. MAKER should prove especially useful for emerging model organism genome projects for which extensive bioinformatics resources may not be readily available.

1,503 citations


Authors

Showing all 53431 results

NameH-indexPapersCitations
Bert Vogelstein247757332094
George M. Whitesides2401739269833
Hongjie Dai197570182579
Robert M. Califf1961561167961
Frank E. Speizer193636135891
Yusuke Nakamura1792076160313
David L. Kaplan1771944146082
Marc G. Caron17367499802
George M. Church172900120514
Steven P. Gygi172704129173
Lily Yeh Jan16246773655
Tobin J. Marks1591621111604
David W. Bates1591239116698
Alfred L. Goldberg15647488296
Charles M. Perou156573202951
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023203
2022769
20217,364
20207,015
20196,309
20185,651