Latest Research in Advanced Biosensing Techniques and Applications
15 research papers · 2026 median publication year
Top Research Topics in Advanced Biosensing Techniques and Applications
- Advanced Biosensing Techniques and Applications — 2 papers
- DNA and Nucleic Acid Chemistry — 2 papers
- Genomics and Chromatin Dynamics — 2 papers
- Advanced Proteomics Techniques and Applications — 1 papers
- Biochemical and Structural Characterization — 1 papers
- Gene Regulatory Network Analysis — 1 papers
- Advanced Fluorescence Microscopy Techniques — 1 papers
- Advanced Topics in Algebra — 1 papers
- Animal Genetics and Reproduction — 1 papers
- Invertebrate Immune Response Mechanisms — 1 papers
Highest-Cited Papers
- MoDPA: Inferring Modification-dependent Protein Associations from Uniformly Reprocessed Mass Spectrometry
- Topologically complex knotted proteins are processed differentially by ATP ‐dependent proteases ClpXP and ClpAP
- RaspArray and MADApp: System for reproducible microarray imaging and data analysis across research settings
- Quantitative Model of Transcriptional Noise Regulation by mRNA Condensates
- Sacred Geometry in DNA: A Quantitative Evidence Gap — E8 Intelligence Research
- Sacred Geometry in DNA: A Quantitative Evidence Gap — E8 Intelligence Research
- Quantitative In-Cell Localization Microscopy: From Single-Molecule Localizations to Mechanistic Inference
- Phenotype algebra and the dominance map
- Generation of full-length wild-type and mutated futsch transgenes in Drosophila —efficient Gibson Assembly of ultra-large cDNAs
- Fluorescent protein ticker tape (FPTT): Multiplexed recording of transcriptional dynamics in living cells and in vivo
- Deep Learning Analysis of High‐Throughput Transcription Factor– DNA Binding Affinity Data: A Quantitative Comparison With Pairwise‐Additive Models
- The serine protease homolog Skanda modulates Toll-Phenoloxidase-mediated immunity in Drosophila
- Non-Euclidean DNA Chromatin Folding via 240 Root Vector Dynamics — E8 Intelligence Research
- A QC-guided framework for performance assessment in plate-based RNAi screening with fluorescence and metabolic readouts
- Efficient Auto-Interpretability of AI Models in Biology