Christine H Chang, William C Nelson, Abby Jerger, Aaron T Wright, Robert G Egbert, Jason E McDermott, Snekmer: a scalable pipeline for protein sequence fingerprinting based on amino acid recoding, Bioinformatics Advances , Volume 3, Issue 1, 2023, vbad005, https://doi.org/10.1093/bioadv/vbad005...
Filter results
Category
- (-) Computational Research (6)
- (-) Grid Cybersecurity (2)
- Scientific Discovery (9)
- Biology (8)
- Human Health (4)
- Data Analytics & Machine Learning (3)
- Cybersecurity (2)
- Distribution (2)
- Electric Grid Modernization (2)
- Energy Resiliency (2)
- Integrative Omics (2)
- National Security (2)
- Earth System Science (1)
- Grid Analytics (1)
Content type
Tags
- (-) Mass spectrometry-based Omics (3)
- (-) Software Data Analysis (3)
- (-) Electrical energy (2)
- Type 1 Diabetes (6)
- Autoimmunity (5)
- Machine Learning (5)
- Biomarkers (4)
- Molecular Profiling (4)
- Predictive Modeling (3)
- Alternative Splicing (2)
- Cybersecurity (2)
- DNA Sequence Analysis (2)
- Functional Annotation Analysis (2)
- Kmers (2)
- Python (2)
- RNA Sequence Analysis (2)
- Snakemake (2)
- Data Analysis (1)
- Fish Detection (1)
- High-Performance Computing (1)
- Hydropower (1)
- Marine and Hydrokinetic (1)
- Mass Spectrometry (1)
- Omics (1)
- Output Databases (1)
- Software Development (1)
- Statistical Expression Analysis (1)
- Statistics (1)
- underwater video (1)
pmartR Software Overview The pmartR package provides a single software tool for QC (filtering and normalization), exploratory data analysis (EDA), and statistical analysis (robust to missing data) and includes numerous visualization capabilities of mass spectrometry (MS) omics data (proteomic...
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
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...
This dataset includes one baseline and three cybersecurity based scenarios utilizing the IEEE 9 Bus Model. This instantiation of the IEEE 9 model was built utilizing the OpalRT Simulator ePhasorsim module, with Bus 7 represented by hardware in the loop (HiL). The HiL was represented by two SEL351s...
This dataset includes the results of high-fidelity, hardware in the loop experimentation on simulated models of representative electric and natural gas distribution systems with real cyber attack test cases. Such datasets are extremely important not only in understanding the system behavior during...