Computer Science and Engineering Department Open Access Policy Deposits
Parent: Bourns College of Engineering
eScholarship stats: History by Item for June through September, 2026
| Item | Title | Total requests | 2026-09 | 2026-08 | 2026-07 | 2026-06 |
|---|---|---|---|---|---|---|
| 8606f22r | On the Correctness of Metadata-Based SBOM Generation: A Differential Analysis Approach | 440 | 128 | 122 | 99 | 91 |
| 6tx1g53v | Integrative analysis of multimodal mass spectrometry data in MZmine 3 | 398 | 100 | 102 | 88 | 108 |
| 7xh2w6pw | Feature-based molecular networking in the GNPS analysis environment | 351 | 124 | 91 | 63 | 73 |
| 8q63m69f | Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking | 299 | 64 | 64 | 67 | 104 |
| 9d4967pm | Drug target prediction through deep learning functional representation of gene signatures | 295 | 53 | 78 | 75 | 89 |
| 7gs1w3pb | A chromosome conformation capture ordered sequence of the barley genome | 277 | 65 | 74 | 46 | 92 |
| 86x0713x | Fine-tuned protein language model identifies antigen-specific B cell receptors from immune repertoires | 245 | 59 | 53 | 48 | 85 |
| 7wn084zt | A view of the pan‐genome of domesticated Cowpea (Vigna unguiculata [L.] Walp.) | 243 | 41 | 54 | 54 | 94 |
| 7b4425nr | Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins | 225 | 50 | 65 | 39 | 71 |
| 23p905b3 | DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data | 223 | 51 | 86 | 31 | 55 |
| 1dr6q4x6 | Validating genome-wide CRISPR-Cas9 function improves screening in the oleaginous yeast Yarrowia lipolytica | 221 | 52 | 49 | 56 | 64 |
| 08s0n0j5 | Babesia duncani multi-omics identifies virulence factors and drug targets | 212 | 28 | 30 | 60 | 94 |
| 0tt974fv | GNPS Dashboard: Collaborative Analysis of Mass Spectrometry Data in the Web Browser | 210 | 48 | 38 | 62 | 62 |
| 4gb5t10z | Probabilistic Path Prioritization for Hybrid Fuzzing | 205 | 49 | 39 | 50 | 67 |
| 9tp855xw | Reverse metabolomics for the discovery of chemical structures from humans | 202 | 47 | 76 | 39 | 40 |
| 31m0z7qf | Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation | 194 | 48 | 68 | 29 | 49 |
| 4dv456qx | Author Correction: A universal language for finding mass spectrometry data patterns | 175 | 72 | 23 | 14 | 66 |
| 2kx4r5g7 | Somatic SF3B1 hotspot mutation in prolactinomas | 164 | 22 | 93 | 26 | 23 |
| 6hg3w5rc | DNS Exfiltration Guided by Generative Adversarial Networks | 162 | 42 | 33 | 36 | 51 |
| 4n64r36r | Balanced Training Sets Improve Deep Learning-Based Prediction of CRISPR sgRNA Activity | 157 | 57 | 45 | 34 | 21 |
| 2bt8n2ss | ChemStor: Using Formal Methods To Guarantee Safe Storage and Disposal of Chemicals | 151 | 20 | 90 | 22 | 19 |
| 2gd202bj | ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity | 150 | 53 | 36 | 23 | 38 |
| 739415xm | Higher order divergence-free and curl-free interpolation on MAC grids | 146 | 36 | 41 | 25 | 44 |
| 28x5h3tn | A universal language for finding mass spectrometry data patterns | 145 | 47 | 52 | 16 | 30 |
| 6xg1852d | High-Level Language Tools for Reconfigurable Computing | 144 | 29 | 46 | 36 | 33 |
| 3tv4530n | A mini-review of single-cell Hi-C embedding methods | 142 | 29 | 53 | 14 | 46 |
| 79t6410z | Enhancing untargeted metabolomics using metadata-based source annotation | 141 | 41 | 29 | 34 | 37 |
| 11z974mj | Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment | 139 | 37 | 26 | 25 | 51 |
| 4xx8p7nh | Enabling pan-repository reanalysis for big data science of public metabolomics data | 138 | 45 | 31 | 32 | 30 |
| 1s4297xt | TRFill: synergistic use of HiFi and Hi-C sequencing enables accurate assembly of tandem repeats for population-level analysis. | 134 | 51 | 29 | 23 | 31 |
| 47c9p5cn | NPOmix: A machine learning classifier to connect mass spectrometry fragmentation data to biosynthetic gene clusters | 134 | 42 | 42 | 17 | 33 |
| 86n1p4qm | Impact of various high fat diets on gene expression and the microbiome across the mouse intestines | 134 | 20 | 60 | 21 | 33 |
| 6qg0w6sw | SHICEDO: single-cell Hi-C data enhancement with reduced over-smoothing | 133 | 44 | 39 | 13 | 37 |
| 3jh0x2hh | Recent developments in microfluidic large scale integration | 132 | 28 | 32 | 42 | 30 |
| 106675xj | SCALE method for single-cell ATAC-seq analysis via latent feature extraction | 130 | 28 | 42 | 16 | 44 |
| 7j43n4qr | Efficient and Accurate Construction of Genetic Linkage Maps from the Minimum Spanning Tree of a Graph | 130 | 55 | 46 | 13 | 16 |
| 9006p69g | Skull-stripping with machine learning deformable organisms | 130 | 63 | 32 | 8 | 27 |
| 5kt560ff | MSTmap Online: enhanced usability, visualization, and accessibility | 127 | 37 | 40 | 31 | 19 |
| 1jn5p5sf | Comprehensive assessment of 11 de novo HiFi assemblers on complex eukaryotic genomes and metagenomes | 126 | 49 | 20 | 18 | 39 |
| 2hn3z2rg | Prediction of DNA Methylation With Long-Range State-Space Models | 126 | 36 | 26 | 22 | 42 |
| 0rn2j1x1 | ModiFinder: Tandem Mass Spectral Alignment Enables Structural Modification Site Localization | 125 | 40 | 24 | 24 | 37 |
| 6nh112gz | NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products | 123 | 27 | 34 | 17 | 45 |
| 71k8c9hg | ENVnet provides a global molecular resource of dissolved organic matter | 123 | 52 | 56 | 15 | |
| 2nd2352b | TRFill: synergistic use of HiFi and Hi-C sequencing enables accurate assembly of tandem repeats for population-level analysis | 122 | 39 | 20 | 17 | 46 |
| 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 | 122 | 31 | 24 | 21 | 46 |
| 0q63c9z2 | TIMSCONVERT: a workflow to convert trapped ion mobility data to open data formats | 120 | 23 | 36 | 24 | 37 |
| 2cv9x5hn | RAmbler: de novo genome assembly of complex repetitive regions | 120 | 30 | 31 | 14 | 45 |
| 79m5n368 | ReDU: a framework to find and reanalyze public mass spectrometry data | 119 | 42 | 37 | 16 | 24 |
| 4mx9j6pd | MOPSA: A microfluidics-optimized particle simulation algorithm | 118 | 32 | 36 | 18 | 32 |
| 02z063sp | A Mid‐Density Single‐Nucleotide Polymorphism Panel for Molecular Applications in Cowpea (Vigna unguiculata (L.) Walp) | 117 | 20 | 24 | 25 | 48 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.