A5091601361- Genetics, Bioinformatics, and Biomedical Research
- Cancer Genomics and Diagnostics
- Research Data Management Practices
- Gene expression and cancer classification
- Scientific Computing and Data Management
- Biomedical Text Mining and Ontologies
- Advanced biosensing and bioanalysis techniques
- Advances in Oncology and Radiotherapy
- Economic and Financial Impacts of Cancer
- Multiple and Secondary Primary Cancers
- Cell Image Analysis Techniques
- AI in cancer detection
- Genetic factors in colorectal cancer
- Advanced Biosensing Techniques and Applications
- Data Quality and Management
- Nanotechnology research and applications
- Radiomics and Machine Learning in Medical Imaging
- Biosensors and Analytical Detection
- Cancer-related molecular mechanisms research
- Computational Drug Discovery Methods
- Molecular Biology Techniques and Applications
- Geochemistry and Geologic Mapping
- Biomedical and Engineering Education
- Molecular Communication and Nanonetworks
Leidos (United States)
2013-2024
Frederick National Laboratory for Cancer Research
2013-2024
Leidos Biomedical Research Inc. (United States)
2016-2019
Science Applications International Corporation (United States)
2011-2013
We present a systematic analysis of the effects synchronizing large-scale, deeply characterized, multi-omic dataset to current human reference genome, using updated software, pipelines, and annotations. For each 5 molecular data platforms in The Cancer Genome Atlas (TCGA)—mRNA miRNA expression, single nucleotide variants, DNA methylation copy number alterations—comprehensive sample, gene, probe-level studies were performed, towards quantifying degree similarity between 'legacy' GRCh37 (hg19)...
Abstract Since 2014, the NCI has launched a series of data commons as part Cancer Research Data Commons (CRDC) ecosystem housing genomic, proteomic, imaging, and clinical to support cancer research promote sharing NCI-funded studies. This review describes each (Genomic Commons, Proteomic Integrated Canine Service, Imaging Clinical Translational Commons), including their unique shared features, accomplishments, challenges. Also discussed is how CRDC implement Findable, Accessible,...
Abstract Background and motivation The high-throughput genomics communities have been successfully using standardized spreadsheet-based formats to capture share data within labs among public repositories. nanomedicine community has yet adopt similar standards the diverse multi-dimensional types of (including metadata) pertaining description characterization nanomaterials. Owing lack standardization in representing sharing nanomaterial data, most currently shared via publications resources...
Many groups within the broad field of nanoinformatics are already developing data repositories and analytical tools driven by their individual organizational goals. Integrating these resources across disciplines with non-nanotechnology can support multiple objectives enabling reuse same information. Integration also serve as impetus for novel scientific discoveries providing framework to deeper analyses. This article discusses current integration practices in comparable mature fields,...
The use of nanotechnology in biomedicine involves the engineering nanomaterials to act as therapeutic carriers, targeting agents and diagnostic imaging devices. application cancer aims transform early detection, targeted therapeutics prevention control. To assist expediting validating biomedicine, National Cancer Institute (NCI) Center for Biomedical Informatics Information Technology, collaboration with NCI Alliance Nanotechnology (Alliance), has developed a data sharing portal called...
There is a critical opportunity in the field of nanoscience to compare and integrate information across diverse fields study through informatics (i.e., nanoinformatics). This paper one series articles on data curation process nanoinformatics (nanocuration). Other this discuss key aspects nanocuration (temporal metadata, completeness, database integration), while focus article workflow, or identifying, inputting, reviewing nanomaterial repository. In particular, discusses: 1) rationale...
The quantity of information on nanomaterial properties and behavior continues to grow rapidly. Without a concerted effort collect, organize mine disparate coming out current research efforts, the value effective use this will be limited at best. Data not translated knowledge. At worst, erroneous conclusions drawn future may misdirected. Nanoinformatics can powerful approach enhance global in nanoscience nanotechnology. Much progress has been made through grassroots efforts nanoinformatics...
The cancer Nanotechnology Laboratory (caNanoLab) data portal is an online nanomaterial database that allows users to submit and retrieve information on well-characterized nanomaterials, including composition, in vitro vivo experimental characterizations, protocols, related publications. Initiated 2006, caNanoLab serves as established resource with infrastructure supporting the structured collection of nanotechnology address needs biomedical communities. contains over 1,000 curated records...
The application of nanotechnology to medicine enables the development research tools, and multifunctional diagnostic therapeutic agents with potential greatly improve clinical care patients. Although still an emerging field, nanoinformatics seeks identify information relevant that can be used in knowledge discovery, case biomedicine, facilitate advancement these technologies tools environment through data collection, sharing, validation, analysis. In this paper, we describe cancer...
<div>Abstract<p>Since 2014, the NCI has launched a series of data commons as part Cancer Research Data Commons (CRDC) ecosystem housing genomic, proteomic, imaging, and clinical to support cancer research promote sharing NCI-funded studies. This review describes each (Genomic Commons, Proteomic Integrated Canine Service, Imaging Clinical Translational Commons), including their unique shared features, accomplishments, challenges. Also discussed is how CRDC implement Findable,...
<p>CRDC Program Collaborator</p>
<div>Abstract<p>Since 2014, the NCI has launched a series of data commons as part Cancer Research Data Commons (CRDC) ecosystem housing genomic, proteomic, imaging, and clinical to support cancer research promote sharing NCI-funded studies. This review describes each (Genomic Commons, Proteomic Integrated Canine Service, Imaging Clinical Translational Commons), including their unique shared features, accomplishments, challenges. Also discussed is how CRDC implement Findable,...
<p>CRDC Program Collaborator</p>