Computer Science and Engineering Department Open Access Policy Deposits
Parent: Bourns College of Engineering
eScholarship stats: Breakdown by Item for June through September, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 8606f22r | On the Correctness of Metadata-Based SBOM Generation: A Differential Analysis Approach | 440 | 319 | 121 | 72.5% |
| 6tx1g53v | Integrative analysis of multimodal mass spectrometry data in MZmine 3 | 398 | 237 | 161 | 59.5% |
| 7xh2w6pw | Feature-based molecular networking in the GNPS analysis environment | 351 | 122 | 229 | 34.8% |
| 8q63m69f | Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking | 299 | 79 | 220 | 26.4% |
| 9d4967pm | Drug target prediction through deep learning functional representation of gene signatures | 295 | 119 | 176 | 40.3% |
| 7gs1w3pb | A chromosome conformation capture ordered sequence of the barley genome | 277 | 160 | 117 | 57.8% |
| 86x0713x | Fine-tuned protein language model identifies antigen-specific B cell receptors from immune repertoires | 245 | 176 | 69 | 71.8% |
| 7wn084zt | A view of the pan‐genome of domesticated Cowpea (Vigna unguiculata [L.] Walp.) | 243 | 132 | 111 | 54.3% |
| 7b4425nr | Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins | 225 | 75 | 150 | 33.3% |
| 23p905b3 | DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data | 223 | 72 | 151 | 32.3% |
| 1dr6q4x6 | Validating genome-wide CRISPR-Cas9 function improves screening in the oleaginous yeast Yarrowia lipolytica | 221 | 133 | 88 | 60.2% |
| 08s0n0j5 | Babesia duncani multi-omics identifies virulence factors and drug targets | 212 | 110 | 102 | 51.9% |
| 0tt974fv | GNPS Dashboard: Collaborative Analysis of Mass Spectrometry Data in the Web Browser | 210 | 147 | 63 | 70.0% |
| 4gb5t10z | Probabilistic Path Prioritization for Hybrid Fuzzing | 205 | 80 | 125 | 39.0% |
| 9tp855xw | Reverse metabolomics for the discovery of chemical structures from humans | 202 | 70 | 132 | 34.7% |
| 31m0z7qf | Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation | 194 | 77 | 117 | 39.7% |
| 4dv456qx | Author Correction: A universal language for finding mass spectrometry data patterns | 175 | 18 | 157 | 10.3% |
| 2kx4r5g7 | Somatic SF3B1 hotspot mutation in prolactinomas | 164 | 28 | 136 | 17.1% |
| 6hg3w5rc | DNS Exfiltration Guided by Generative Adversarial Networks | 162 | 94 | 68 | 58.0% |
| 4n64r36r | Balanced Training Sets Improve Deep Learning-Based Prediction of CRISPR sgRNA Activity | 157 | 51 | 106 | 32.5% |
| 2bt8n2ss | ChemStor: Using Formal Methods To Guarantee Safe Storage and Disposal of Chemicals | 151 | 16 | 135 | 10.6% |
| 2gd202bj | ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity | 150 | 35 | 115 | 23.3% |
| 739415xm | Higher order divergence-free and curl-free interpolation on MAC grids | 146 | 53 | 93 | 36.3% |
| 28x5h3tn | A universal language for finding mass spectrometry data patterns | 145 | 57 | 88 | 39.3% |
| 6xg1852d | High-Level Language Tools for Reconfigurable Computing | 144 | 64 | 80 | 44.4% |
| 3tv4530n | A mini-review of single-cell Hi-C embedding methods | 142 | 45 | 97 | 31.7% |
| 79t6410z | Enhancing untargeted metabolomics using metadata-based source annotation | 141 | 54 | 87 | 38.3% |
| 11z974mj | Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment | 139 | 69 | 70 | 49.6% |
| 4xx8p7nh | Enabling pan-repository reanalysis for big data science of public metabolomics data | 138 | 48 | 90 | 34.8% |
| 1s4297xt | TRFill: synergistic use of HiFi and Hi-C sequencing enables accurate assembly of tandem repeats for population-level analysis. | 134 | 49 | 85 | 36.6% |
| 47c9p5cn | NPOmix: A machine learning classifier to connect mass spectrometry fragmentation data to biosynthetic gene clusters | 134 | 50 | 84 | 37.3% |
| 86n1p4qm | Impact of various high fat diets on gene expression and the microbiome across the mouse intestines | 134 | 92 | 42 | 68.7% |
| 6qg0w6sw | SHICEDO: single-cell Hi-C data enhancement with reduced over-smoothing | 133 | 44 | 89 | 33.1% |
| 3jh0x2hh | Recent developments in microfluidic large scale integration | 132 | 76 | 56 | 57.6% |
| 106675xj | SCALE method for single-cell ATAC-seq analysis via latent feature extraction | 130 | 64 | 66 | 49.2% |
| 7j43n4qr | Efficient and Accurate Construction of Genetic Linkage Maps from the Minimum Spanning Tree of a Graph | 130 | 21 | 109 | 16.2% |
| 9006p69g | Skull-stripping with machine learning deformable organisms | 130 | 26 | 104 | 20.0% |
| 5kt560ff | MSTmap Online: enhanced usability, visualization, and accessibility | 127 | 39 | 88 | 30.7% |
| 1jn5p5sf | Comprehensive assessment of 11 de novo HiFi assemblers on complex eukaryotic genomes and metagenomes | 126 | 57 | 69 | 45.2% |
| 2hn3z2rg | Prediction of DNA Methylation With Long-Range State-Space Models | 126 | 40 | 86 | 31.7% |
| 0rn2j1x1 | ModiFinder: Tandem Mass Spectral Alignment Enables Structural Modification Site Localization | 125 | 58 | 67 | 46.4% |
| 6nh112gz | NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products | 123 | 33 | 90 | 26.8% |
| 71k8c9hg | ENVnet provides a global molecular resource of dissolved organic matter | 123 | 18 | 105 | 14.6% |
| 2nd2352b | TRFill: synergistic use of HiFi and Hi-C sequencing enables accurate assembly of tandem repeats for population-level analysis | 122 | 71 | 51 | 58.2% |
| 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 | 64 | 58 | 52.5% |
| 0q63c9z2 | TIMSCONVERT: a workflow to convert trapped ion mobility data to open data formats | 120 | 49 | 71 | 40.8% |
| 2cv9x5hn | RAmbler: de novo genome assembly of complex repetitive regions | 120 | 11 | 109 | 9.2% |
| 79m5n368 | ReDU: a framework to find and reanalyze public mass spectrometry data | 119 | 30 | 89 | 25.2% |
| 4mx9j6pd | MOPSA: A microfluidics-optimized particle simulation algorithm | 118 | 98 | 20 | 83.1% |
| 02z063sp | A Mid‐Density Single‐Nucleotide Polymorphism Panel for Molecular Applications in Cowpea (Vigna unguiculata (L.) Walp) | 117 | 50 | 67 | 42.7% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.