A5049985774- Economic and Financial Impacts of Cancer
- Scientific Computing and Data Management
- Research Data Management Practices
- Cancer Genomics and Diagnostics
- Academic Publishing and Open Access
- Genetics, Bioinformatics, and Biomedical Research
- Advances in Oncology and Radiotherapy
- Data Quality and Management
- Parallel Computing and Optimization Techniques
- Plant Gene Expression Analysis
- Plant biochemistry and biosynthesis
- Plant Molecular Biology Research
- Plant and animal studies
- RNA and protein synthesis mechanisms
- Distributed and Parallel Computing Systems
- Artificial Intelligence in Healthcare
- Metabolomics and Mass Spectrometry Studies
- Biochemical and biochemical processes
- Semantic Web and Ontologies
- Essential Oils and Antimicrobial Activity
- Plant Virus Research Studies
- Genetic diversity and population structure
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Big Data and Business Intelligence
General Dynamics (United States)
2024-2025
University of California, Davis
2019-2022
Michigan State University
2009-2018
We identified a cis-prenyltransferase gene, neryl diphosphate synthase 1 (NDPS1), that is expressed in cultivated tomato (Solanum lycopersicum) cultivar M82 type VI glandular trichomes and encodes an enzyme catalyzes the formation of from isopentenyl dimethylallyl diphosphate. mRNA for terpene phellandrene (PHS1), was also these glands. It uses to produce beta-phellandrene as major product well variety other monoterpenes. The profile monoterpenes produced by PHS1 identical with found NDPS1...
<ns3:p>The khmer package is a freely available software library for working efficiently with fixed length DNA words, or k-mers. provides implementations of probabilistic k-mer counting data structure, compressible De Bruijn graph representation, partitioning, and digital normalization. implemented in C++ Python, under the BSD license at <ns3:ext-link xmlns:ns4="http://www.w3.org/1999/xlink" ext-link-type="uri"...
Glandular secreting trichomes of cultivated tomato (Solanum lycopersicum) and close relatives produce a variety structurally diverse volatile non-volatile specialized ('secondary') metabolites, including terpenes, flavonoids acyl sugars. A genetic screen is described here to profile leaf trichome surface metabolite extracts nearly isogenic chromosomal substitution lines covering the genome. These contain specific regions Solanum pennellii LA0716 genome in an otherwise 'wild-type' M82...
Glandular secreting trichomes on the surface of tomato plants and many its relatives in Solanaceae produce a mixture O -acyl sugars that contribute to insect resistance. The majority acyl sucroses produced by cultivated ( Solanum lycopersicum ) contain three or four short chain aliphatic esters, tetra-acyl have an acetyl group as one chains. We previously reported overlapping S. × pennellii introgression lines (ILs) fail accumulate high levels acetylated sucroses. A survey annotated genes...
Abstract The NCI Cancer Research Data Commons (CRDC) is a collection of data commons, analysis platforms, and tools that make existing cancer more findable accessible by the research community. In practice, two biggest hurdles to finding using for discovery are wide variety models ontologies used describe data, dispersed storage data. Here, we outline core CRDC services aggregate descriptive information from multiple studies findability via single interface provide access method spans...
Cancer research data is generated and managed in silos. Data repositories frequently use different models vocabularies to describe their holdings, many specialize certain types, necessitating that from a large integrative project be spread across several repositories. For researchers who want reuse existing cancer data, just navigating this ecosystem of repositories, formats can overwhelming. The Aggregator (CDA) new free National Institute (NCI) service aims increase the discoverability...
The Common Fund Data Ecosystem (CFDE) has created a flexible system of data federation that enables researchers to discover datasets from across the US National Institutes Health without requiring owners move, reformat, or rehost those data. This is centered on catalog integrates detailed descriptions biomedical individual Programs' Coordination Centers (DCCs) into uniform metadata model can then be indexed and searched centralized portal. Crosscut Metadata Model (C2M2) supports wide variety...
Abstract Approximately 200 weed species are responsible for more than 90% of crop losses and these comprise less one percent all named plant species, suggesting that there only a few evolutionary routes lead to weediness. Agricultural weeds can evolve along three main paths: they be escaped crops, wild or crop‐wild hybrids. We tested hypotheses in weedy radish, small grains an emerging model investigating the evolution agricultural weeds, using 21 CAPS SSR markers scored on 338 individuals...
Abstract As more datasets, tools, workflows, APIs, and other digital resources are produced by the research community, it is becoming increasingly difficult to harmonize organize these efforts for maximal synergistic integrated utilization. The Findable, Accessible, Interoperable, Reusable (FAIR) guiding principles have prompted many stakeholders consider strategies tackling this challenge making follow common standards best practices so that they can become organized. Faced with question of...
Abstract The Common Fund Data Ecosystem (CFDE) has created a flexible system of data federation that enables users to discover datasets from across the U.S. National Institutes Health without requiring owners move, reformat, or rehost those data. CFDE’s is centered on catalog ingests metadata individual Program’s Coordination Centers (DCCs) into uniform model can then be indexed and searched centralized portal. This Crosscut Metadata Model (C2M2) supports wide variety types terms used by...
<p>full list of CRDC consortium members, corresponding to 'CRDC Program' author</p>
<div>Abstract<p>The NCI Cancer Research Data Commons (CRDC) is a collection of data commons, analysis platforms, and tools that make existing cancer more findable accessible by the research community. In practice, two biggest hurdles to finding using for discovery are wide variety models ontologies used describe data, dispersed storage data. Here, we outline core CRDC services aggregate descriptive information from multiple studies findability via single interface provide access...
<div>Abstract<p>The NCI Cancer Research Data Commons (CRDC) is a collection of data commons, analysis platforms, and tools that make existing cancer more findable accessible by the research community. In practice, two biggest hurdles to finding using for discovery are wide variety models ontologies used describe data, dispersed storage data. Here, we outline core CRDC services aggregate descriptive information from multiple studies findability via single interface provide access...
<p>full list of CRDC consortium members, corresponding to 'CRDC Program' author</p>
<div>Abstract<p>The NCI Cancer Research Data Commons (CRDC) is a collection of data commons, analysis platforms, and tools that make existing cancer more findable accessible by the research community. In practice, two biggest hurdles to finding using for discovery are wide variety models ontologies used describe data, dispersed storage data. Here, we outline core CRDC services aggregate descriptive information from multiple studies findability via single interface provide access...
<p>full list of CRDC consortium members, corresponding to 'CRDC Program' author</p>
<p>full list of CRDC consortium members, corresponding to 'CRDC Program' author</p>
We present our lesson material and resources for introducing the use of Amazon Web Services (