Last updated on 2023-02-23T19:37:46+00:00 by LN Anderson Snekmer: A scalable pipeline for protein sequence fingerprinting using amino acid recoding (AAR) Snekmer is a software package designed to reduce the representation of protein sequences by combining amino acid reduction (AAR) with the kmer...
Filter results
Category
- (-) Computational Research (23)
- (-) Chemistry (10)
- (-) Materials Science (7)
- (-) Data Analytics & Machine Learning (3)
- Scientific Discovery (307)
- Biology (198)
- Earth System Science (136)
- Human Health (102)
- Integrative Omics (73)
- Microbiome Science (42)
- National Security (21)
- Computing & Analytics (14)
- Energy Resiliency (9)
- Data Analytics & Machine Learning (8)
- Visual Analytics (6)
- Chemical & Biological Signatures Science (5)
- Computational Mathematics & Statistics (5)
- Weapons of Mass Effect (5)
- Atmospheric Science (4)
- Coastal Science (4)
- Ecosystem Science (4)
- Renewable Energy (4)
- Plant Science (3)
- Cybersecurity (2)
- Distribution (2)
- Electric Grid Modernization (2)
- Energy Efficiency (2)
- Energy Storage (2)
- Grid Cybersecurity (2)
- Solar Energy (2)
- Bioenergy Technologies (1)
- Computational Mathematics & Statistics (1)
- Grid Analytics (1)
- High-Performance Computing (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Transportation (1)
- Wind Energy (1)
Tags
- Machine Learning (6)
- Type 1 Diabetes (6)
- Autoimmunity (5)
- Biomarkers (4)
- Mass Spectrometry (4)
- Molecular Profiling (4)
- Predictive Modeling (4)
- Mass spectrometry-based Omics (3)
- Omics (3)
- Software Data Analysis (3)
- Alternative Splicing (2)
- DNA Sequence Analysis (2)
- Functional Annotation Analysis (2)
- Kmers (2)
- Polymer Materials (2)
- Python (2)
- RNA Sequence Analysis (2)
- Snakemake (2)
- High-Performance Computing (1)
- Imaging (1)
- Mass Spectrometer (1)
- Microbeam (1)
- Microscopy (1)
- Output Databases (1)
- Proteomics (1)
- Spectroscopy (1)
- Statistics (1)
- ToF-SIMS (1)
- underwater video (1)
- X-Ray Diffraction (1)
This project is an interdisciplinary collaboration supported by US DOE Office of Science's Scientific Discovery through Advanced Computing (SciDAC) program. The project addresses a crucial but largely overlooked source of error in the Energy Exascale Earth System Model (E3SM) and other atmosphere...
Category
Datasets
2
The PNNL-SERDP database was constructed by PNNL to generate the quantitative infrared spectra of gases associated with biomass burning; the reference data are to allow detection and quantification of such gases via infrared absorption spectroscopy. Candidates for the database were selected based on...
Category
Datasets
2
Category
Datasets
1
The Environmental Determinants of Diabetes in the Young (TEDDY) study is searching for factors influencing the development of type 1 diabetes (T1D) in children. Research has shown that there are certain genes that correlate to higher risk of developing T1D, but not all children with these genes...
Datasets
1
The Diabetes Autoimmunity Study in the Young (DAISY) seeks to find environmental factors that can trigger the development of type 1 diabetes (T1D) in children. DAISY follows children with high-risk of developing T1D based on family history or genetic markers. Genes, diets, infections, and...
Datasets
1
Machine learning is a core technology that is rapidly advancing within type 1 diabetes (T1D) research. Our Human Islet Research Network (HIRN) grant is studying early cellular response initiating β cell stress in T1D through the generation of heterogenous low- and high-throughput molecular...
Datasets
3
Category
Category
Category
Biography Young-Mo Kim is a senior bioanalytical chemist at PNNL. He received his PhD from Pohang University of Science and Technology in the School of Environmental Science and Engineering, studying analysis of metabolites during the bacterial and fungal degradation of xenobiotic substrates using...
Biography Dr. Smith's research interests span the development of advanced analytical methods and instrumentation, with particular emphasis on high-resolution separations and mass spectrometry, and their applications in biological and biomedical research. This has included creating and applying new...
Elise Van Fossen is a Post-Doctorate Research Associate in the Biological Sciences Division. Her research focuses on developing synthetic and chemical biology techniques for microorganism engineering.
Category
PerCon SFA, Co-Investigator Vivian Lin earned her PhD in organic chemistry from the University of California, Berkeley with Professor Chris Chang, developing fluorescent probes for imaging redox active small molecules. Afterward, she traveled to Switzerland for a postdoctoral fellowship in the...
Category
Biography Kelly is a senior data scientist in the Computational Biology group within the Biological Sciences Division at Pacific Northwest National Laboratory (PNNL). After earning a MS in Biostatistics from the University of Washington in 2012, she worked at a cancer research company for two years...