Computer Science and Engineering Department Open Access Policy Deposits
Parent: Bourns College of Engineering
eScholarship stats: History by Item for March through June, 2026
| Item | Title | Total requests | 2026-06 | 2026-05 | 2026-04 | 2026-03 |
|---|---|---|---|---|---|---|
| 8q63m69f | Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking | 429 | 104 | 129 | 114 | 82 |
| 86x0713x | Fine-tuned protein language model identifies antigen-specific B cell receptors from immune repertoires | 365 | 85 | 95 | 92 | 93 |
| 6tx1g53v | Integrative analysis of multimodal mass spectrometry data in MZmine 3 | 364 | 108 | 131 | 75 | 50 |
| 7xh2w6pw | Feature-based molecular networking in the GNPS analysis environment | 354 | 73 | 103 | 86 | 92 |
| 7gs1w3pb | A chromosome conformation capture ordered sequence of the barley genome | 348 | 92 | 112 | 89 | 55 |
| 08s0n0j5 | Babesia duncani multi-omics identifies virulence factors and drug targets | 334 | 94 | 97 | 89 | 54 |
| 23p905b3 | DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data | 325 | 55 | 151 | 61 | 58 |
| 8606f22r | On the Correctness of Metadata-Based SBOM Generation: A Differential Analysis Approach | 306 | 91 | 65 | 84 | 66 |
| 1sj3d7f5 | <i>Babesia hegotelforum</i> sp. nov., a zoonotic <i>Babesia</i> species previously referred to as <i>Babesia sp</i>. <i>MO1</i>. | 299 | 34 | 110 | 82 | 73 |
| 7wn084zt | A view of the pan‐genome of domesticated Cowpea (Vigna unguiculata [L.] Walp.) | 298 | 94 | 110 | 61 | 33 |
| 4gb5t10z | Probabilistic Path Prioritization for Hybrid Fuzzing | 286 | 67 | 93 | 69 | 57 |
| 1dr6q4x6 | Validating genome-wide CRISPR-Cas9 function improves screening in the oleaginous yeast Yarrowia lipolytica | 282 | 64 | 99 | 66 | 53 |
| 2hn3z2rg | Prediction of DNA Methylation With Long-Range State-Space Models | 276 | 42 | 103 | 72 | 59 |
| 6hg3w5rc | DNS Exfiltration Guided by Generative Adversarial Networks | 266 | 51 | 78 | 86 | 51 |
| 02z063sp | A Mid‐Density Single‐Nucleotide Polymorphism Panel for Molecular Applications in Cowpea (Vigna unguiculata (L.) Walp) | 264 | 48 | 72 | 83 | 61 |
| 9d4967pm | Drug target prediction through deep learning functional representation of gene signatures | 259 | 89 | 74 | 55 | 41 |
| 7b4425nr | Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins | 256 | 71 | 60 | 65 | 60 |
| 93k4j92j | On the prediction of non-CG DNA methylation using machine learning | 250 | 56 | 114 | 54 | 26 |
| 0080h493 | Leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery | 242 | 31 | 68 | 84 | 59 |
| 69w275j2 | How to build better memory training games | 233 | 32 | 134 | 37 | 30 |
| 8gb8n34b | Babesia BdFE1 esterase is required for the anti-parasitic activity of the ACE inhibitor fosinopril | 231 | 41 | 50 | 69 | 71 |
| 5nq8r43t | Towards optimal selection of ultra-deep sequencing reads for de novo genome assembly | 228 | 31 | 80 | 64 | 53 |
| 739415xm | Higher order divergence-free and curl-free interpolation on MAC grids | 222 | 44 | 67 | 55 | 56 |
| 4dv456qx | Author Correction: A universal language for finding mass spectrometry data patterns | 209 | 66 | 57 | 46 | 40 |
| 6qg0w6sw | SHICEDO: single-cell Hi-C data enhancement with reduced over-smoothing | 209 | 37 | 73 | 48 | 51 |
| 31m0z7qf | Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation | 208 | 49 | 81 | 47 | 31 |
| 70z8g918 | The Benefits and Challenges of Implementing Motivational Features to Boost Cognitive Training Outcome | 206 | 43 | 60 | 52 | 51 |
| 79t6410z | Enhancing untargeted metabolomics using metadata-based source annotation | 206 | 37 | 75 | 47 | 47 |
| 3tv4530n | A mini-review of single-cell Hi-C embedding methods | 203 | 46 | 49 | 52 | 56 |
| 0tt974fv | GNPS Dashboard: Collaborative Analysis of Mass Spectrometry Data in the Web Browser | 202 | 62 | 49 | 42 | 49 |
| 1jn5p5sf | Comprehensive assessment of 11 de novo HiFi assemblers on complex eukaryotic genomes and metagenomes | 201 | 39 | 63 | 60 | 39 |
| 6nh112gz | NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products | 201 | 45 | 65 | 39 | 52 |
| 11z974mj | Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment | 197 | 51 | 48 | 44 | 54 |
| 6xg1852d | High-Level Language Tools for Reconfigurable Computing | 191 | 33 | 60 | 50 | 48 |
| 0282t6n7 | H-PoP and H-PoPG: heuristic partitioning algorithms for single individual haplotyping of polyploids | 189 | 23 | 63 | 55 | 48 |
| 3rk8854c | Open access repository-scale propagated nearest neighbor suspect spectral library for untargeted metabolomics | 189 | 21 | 67 | 51 | 50 |
| 0rn2j1x1 | ModiFinder: Tandem Mass Spectral Alignment Enables Structural Modification Site Localization | 188 | 37 | 54 | 62 | 35 |
| 4b35w89t | Evaluation of Data-Dependent MS/MS Acquisition Parameters for Non-Targeted Metabolomics and Molecular Networking of Environmental Samples: Focus on the Q Exactive Platform | 185 | 46 | 56 | 42 | 41 |
| 8xc8s9df | Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins | 184 | 37 | 61 | 46 | 40 |
| 9tp855xw | Reverse metabolomics for the discovery of chemical structures from humans | 181 | 40 | 47 | 47 | 47 |
| 9b5681n9 | Recent Advances in Securing Networked Systems | 179 | 25 | 55 | 45 | 54 |
| 0n5635cx | Predicting Antibody–Antigen Interactions with Structure-Aware LLMs: Insights from SARS-CoV‑2 Variants | 178 | 43 | 35 | 54 | 46 |
| 2gd202bj | ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity | 178 | 38 | 71 | 31 | 38 |
| 23n9c3q0 | A model checking-based security analysis framework for IoT systems | 177 | 25 | 58 | 38 | 56 |
| 38z520bz | Comprehensive benchmarking and ensemble approaches for metagenomic classifiers | 177 | 37 | 45 | 48 | 47 |
| 4bq907gr | Network Topology Evaluation and Transitive Alignments for Molecular Networking | 176 | 32 | 50 | 56 | 38 |
| 0722h3xn | An association analysis between psychophysical characteristics and genome-wide gene expression changes in human adaptation to the extreme climate at the Antarctic Dome Argus | 175 | 32 | 55 | 45 | 43 |
| 0m48f2xh | Proton Pump Inhibitor Usage and the Risk of Myocardial Infarction in the General Population | 173 | 43 | 49 | 46 | 35 |
| 28x5h3tn | A universal language for finding mass spectrometry data patterns | 172 | 30 | 52 | 41 | 49 |
| 46n9208p | Finding the optimal design of a passive microfluidic mixer | 171 | 23 | 69 | 43 | 36 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.