Search Results - dna+sequencing

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Subgraph Matching for High-Throughput DNA-Aptamer Secondary Structure Classification and Machine Learning Interpretability (Case No. 2025-104)

Intro Sentence: UCLA researchers in the Department of Mathematics have developed machine learning methods to rapidly identify novel aptamer sequences for target binding to accelerate highly-accurate diagnostic and therapeutic development. Background: Aptamers are single-stranded nucleotide polymers that bind with high affinity to targets such as...

Published: 8/19/2025 | Inventor(s): Andrea Bertozzi, Anne Andrews, Matthew Tyler, Paolo Climaco, Noelle Mitchell

Keywords(s): Advanced Computing / AI, advanced computing methods, Aptamers, Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence/machine learning models, bioinformatics pipeline, cancer target, clustering, computational efficiency, computational efficiency and analysis, design software, DNA clustering, DNA oligomer, DNA Sequencing, Drug, Drug Delivery, Drug Development, Drug Discovery, drug screening, high throughput, high throughput assays, high throughput testing, high-throughput analysis, High-Throughput Screening, interpretability, pipeline, large-scale parallelization, Machine Learning, machine learning modeling, motif structures, open source, open source code, OpenAI, Pharmaceutical Drug, protein classification, secondary structure, SELEX, sequences of interest, single strand DNA sequences, Software, Software & Algorithms, Software Development Tools, Software-enabled learning, subgraph matching, target binding, target detection, Targeted Therapy, Targets And Assays, tissue targeting accuracy

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Life Science Research Tools, Life Science Research Tools > Research Methods, Life Science Research Tools > Screening Libraries, Platforms, Platforms > Drug Delivery, Diagnostic Markers > Targets And Assays, Diagnostic Markers, Software & Algorithms > Bioinformatics

Swabseq Agnostic Diagnostic Platform (Case No. 2023-293)

Summary: UCLA researchers in the Departments of Computer Science and Anatomic Pathology have developed an untargeted NGS diagnostic tool capable of detecting all known and emerging respiratory RNA viruses in a single test, enhancing our capacity to rapidly address public health crises through improved diagnostics. Background: Most clinical diagnostic...

Published: 3/20/2025 | Inventor(s): Eleazar Eskin, Valerie Arboleda

Keywords(s): agnostic detection, Bioinformatics, bioinformatics pipeline, Computer-Aided Diagnosis, Diagnostic Markers & Platforms, Diagnostic Test, DNA Sequencing, Medical diagnostics, metagenomic diagnostic platform, meta-genomics, next generation sequencing (NGS), Pathogen, Pathogenesis, Sequencing

Category(s): Platforms, Platforms > Diagnostic Platform Technologies, Life Science Research Tools, Life Science Research Tools > Research Methods, Diagnostic Markers > Targets And Assays, Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Bioinformatics

2021-255 Benchmarking Computational Doublet-detection Methods For Single-cell RNA Sequencing Data

SUMMARY: UCLA researchers in the Department of Statistics have developed a software to compare existing doublet detection algorithms for Single-Cell RNA Sequencing Data. BACKGROUND: Single-cell RNA sequencing (scRNA-seq) provides the expression profiles of individual cells and is considered the gold standard for defining cell states and phenotypes...

Published: 2/14/2025 | Inventor(s):

Keywords(s): Algorithm, DNA Sequencing, Error Detection And Correction, Nucleotide, Polymorphism (Biology), RNA, RNA-Seq, Sequencing, Software, Software & Algorithms

Category(s): Software & Algorithms, Software & Algorithms > Bioinformatics, Life Science Research Tools > Research Methods, Software & Algorithms > Programs