Computer Science and Engineering Department Open Access Policy Deposits
Parent: Bourns College of Engineering
eScholarship stats: Breakdown by Item for May through August, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 6tx1g53v | Integrative analysis of multimodal mass spectrometry data in MZmine 3 | 429 | 259 | 170 | 60.4% |
| 8606f22r | On the Correctness of Metadata-Based SBOM Generation: A Differential Analysis Approach | 377 | 258 | 119 | 68.4% |
| 8q63m69f | Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking | 364 | 125 | 239 | 34.3% |
| 7xh2w6pw | Feature-based molecular networking in the GNPS analysis environment | 330 | 139 | 191 | 42.1% |
| 7gs1w3pb | A chromosome conformation capture ordered sequence of the barley genome | 324 | 202 | 122 | 62.3% |
| 23p905b3 | DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data | 323 | 155 | 168 | 48.0% |
| 9d4967pm | Drug target prediction through deep learning functional representation of gene signatures | 316 | 136 | 180 | 43.0% |
| 7wn084zt | A view of the pan‐genome of domesticated Cowpea (Vigna unguiculata [L.] Walp.) | 312 | 172 | 140 | 55.1% |
| 08s0n0j5 | Babesia duncani multi-omics identifies virulence factors and drug targets | 281 | 146 | 135 | 52.0% |
| 86x0713x | Fine-tuned protein language model identifies antigen-specific B cell receptors from immune repertoires | 281 | 201 | 80 | 71.5% |
| 1dr6q4x6 | Validating genome-wide CRISPR-Cas9 function improves screening in the oleaginous yeast Yarrowia lipolytica | 268 | 131 | 137 | 48.9% |
| 4gb5t10z | Probabilistic Path Prioritization for Hybrid Fuzzing | 249 | 86 | 163 | 34.5% |
| 7b4425nr | Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins | 235 | 95 | 140 | 40.4% |
| 69w275j2 | How to build better memory training games | 233 | 127 | 106 | 54.5% |
| 31m0z7qf | Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation | 227 | 92 | 135 | 40.5% |
| 0tt974fv | GNPS Dashboard: Collaborative Analysis of Mass Spectrometry Data in the Web Browser | 211 | 151 | 60 | 71.6% |
| 93k4j92j | On the prediction of non-CG DNA methylation using machine learning | 206 | 129 | 77 | 62.6% |
| 9tp855xw | Reverse metabolomics for the discovery of chemical structures from humans | 202 | 73 | 129 | 36.1% |
| 6hg3w5rc | DNS Exfiltration Guided by Generative Adversarial Networks | 198 | 120 | 78 | 60.6% |
| 2hn3z2rg | Prediction of DNA Methylation With Long-Range State-Space Models | 193 | 75 | 118 | 38.9% |
| 1sj3d7f5 | <i>Babesia hegotelforum</i> sp. nov., a zoonotic <i>Babesia</i> species previously referred to as <i>Babesia sp</i>. <i>MO1</i>. | 188 | 75 | 113 | 39.9% |
| 2bt8n2ss | ChemStor: Using Formal Methods To Guarantee Safe Storage and Disposal of Chemicals | 184 | 41 | 143 | 22.3% |
| 2kx4r5g7 | Somatic SF3B1 hotspot mutation in prolactinomas | 180 | 29 | 151 | 16.1% |
| 739415xm | Higher order divergence-free and curl-free interpolation on MAC grids | 177 | 76 | 101 | 42.9% |
| 6xg1852d | High-Level Language Tools for Reconfigurable Computing | 175 | 85 | 90 | 48.6% |
| 79t6410z | Enhancing untargeted metabolomics using metadata-based source annotation | 175 | 67 | 108 | 38.3% |
| 02z063sp | A Mid‐Density Single‐Nucleotide Polymorphism Panel for Molecular Applications in Cowpea (Vigna unguiculata (L.) Walp) | 169 | 65 | 104 | 38.5% |
| 2gd202bj | ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity | 168 | 68 | 100 | 40.5% |
| 3jh0x2hh | Recent developments in microfluidic large scale integration | 164 | 83 | 81 | 50.6% |
| 86n1p4qm | Impact of various high fat diets on gene expression and the microbiome across the mouse intestines | 164 | 111 | 53 | 67.7% |
| 0qj532xn | Comparative structural analysis of protein complexes with SPICE. | 163 | 50 | 113 | 30.7% |
| 3tv4530n | A mini-review of single-cell Hi-C embedding methods | 162 | 47 | 115 | 29.0% |
| 6qg0w6sw | SHICEDO: single-cell Hi-C data enhancement with reduced over-smoothing | 162 | 64 | 98 | 39.5% |
| 6nh112gz | NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products | 161 | 46 | 115 | 28.6% |
| 4dv456qx | Author Correction: A universal language for finding mass spectrometry data patterns | 160 | 21 | 139 | 13.1% |
| 0080h493 | Leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery | 152 | 48 | 104 | 31.6% |
| 4n64r36r | Balanced Training Sets Improve Deep Learning-Based Prediction of CRISPR sgRNA Activity | 151 | 50 | 101 | 33.1% |
| 11z974mj | Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment | 150 | 69 | 81 | 46.0% |
| 28x5h3tn | A universal language for finding mass spectrometry data patterns | 150 | 66 | 84 | 44.0% |
| 5nq8r43t | Towards optimal selection of ultra-deep sequencing reads for de novo genome assembly | 149 | 52 | 97 | 34.9% |
| 0q63c9z2 | TIMSCONVERT: a workflow to convert trapped ion mobility data to open data formats | 148 | 79 | 69 | 53.4% |
| 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 | 147 | 79 | 68 | 53.7% |
| 8xc8s9df | Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins | 146 | 50 | 96 | 34.2% |
| 0282t6n7 | H-PoP and H-PoPG: heuristic partitioning algorithms for single individual haplotyping of polyploids | 145 | 29 | 116 | 20.0% |
| 0z839098 | Comprehensive Memory Safety Validation: An Alternative Approach to Memory Safety | 145 | 62 | 83 | 42.8% |
| 2vb1s2kb | Lightweight Coordinated Sampling for Dynamic Flows under Budget Constraints | 145 | 60 | 85 | 41.4% |
| 4mx9j6pd | MOPSA: A microfluidics-optimized particle simulation algorithm | 144 | 112 | 32 | 77.8% |
| 31t6m7w8 | Using printer ink color to control the behavior of paper microfluidics | 143 | 63 | 80 | 44.1% |
| 1jn5p5sf | Comprehensive assessment of 11 de novo HiFi assemblers on complex eukaryotic genomes and metagenomes | 140 | 57 | 83 | 40.7% |
| 4xx8p7nh | Enabling pan-repository reanalysis for big data science of public metabolomics data | 140 | 50 | 90 | 35.7% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.