| Properties and predicted functions of large genes and proteins of apicomplexan parasites T Fang, A Mohseni, S Lonardi, C Ben Mamoun NAR Genomics and Bioinformatics 6 (2), lqae032, 2024 | | 2024 |
| Identification of Candidate Genes Controlling Red Seed Coat Color in Cowpea (Vigna unguiculata [L.] Walp) IA Herniter, M Muñoz-Amatriaín, S Lo, YN Guo, S Lonardi, TJ Close Horticulturae 10 (2), 161, 2024 | 3 | 2024 |
| Comprehensive assessment of 11 de novo HiFi assemblers on complex eukaryotic genomes and metagenomes W Yu, H Luo, J Yang, S Zhang, H Jiang, X Zhao, X Hui, D Sun, L Li, X Wei, ... Genome Research 34 (2), 326-340, 2024 | 2* | 2024 |
| Predicting Differentially Methylated Cytosines in TET and DNMT3 Knockout Mutants via a Large Language Model saleh sereshki, S Lonardi bioRxiv, 2024.05. 02.592257, 2024 | | 2024 |
| Multiomics analysis reveals B. MO1 as a distinct Babesia species and provides insights into its evolution and virulence. P Singh, P Vydyam, T Fang, M Kumar, K Estrada, R Grande, ... bioRxiv, 2024.01. 17.575932, 2024 | 1 | 2024 |
| A Mid‐Density Single‐Nucleotide Polymorphism Panel for Molecular Applications in Cowpea (Vigna unguiculata (L.) Walp) PO Ongom, C Fatokun, A Togola, AL Garcia-Oliveira, EH Ng, A Kilian, ... International Journal of Genomics 2024 (1), 9912987, 2024 | 3 | 2024 |
| Babesia BdFE1 esterase is required for the anti-parasitic activity of the ACE inhibitor fosinopril P Vydyam, JY Choi, S Gihaz, M Chand, M Gewirtz, J Thekkiniath, ... Journal of Biological Chemistry 299 (11), 2023 | 2 | 2023 |
| acCRISPR: an activity-correction method for improving the accuracy of CRISPR screens A Ramesh, V Trivedi, S Lee, A Tafrishi, C Schwartz, A Mohseni, M Li, ... Communications biology 6 (1), 617, 2023 | 3 | 2023 |
| On the prediction of non-CG DNA methylation using machine learning S Sereshki, N Lee, M Omirou, D Fasoula, S Lonardi NAR genomics and bioinformatics 5 (2), lqad045, 2023 | 1 | 2023 |
| RAmbler: de novo genome assembly of complex repetitive regions S Chakravarty, G Logsdon, S Lonardi bioRxiv, 2023.05. 26.542525, 2023 | | 2023 |
| Babesia duncani multi-omics identifies virulence factors and drug targets P Singh, S Lonardi, Q Liang, P Vydyam, E Khabirova, T Fang, S Gihaz, ... Nature microbiology 8 (5), 845-859, 2023 | 13 | 2023 |
| A drug repurposing approach reveals targetable epigenetic pathways in Plasmodium vivax hypnozoites SP Maher, MA Bakowski, A Vantaux, EL Flannery, C Andolina, M Gupta, ... bioRxiv, 2023 | 5 | 2023 |
| A view of the pan-genome of domesticated Cowpea (Vigna unguiculata [L.] Walp.) S Liang, Q., Muñoz-Amatriaín, M., Shu, S., Lo, S., Wu, X., Carlson, J. W ... The Plant Genome, e20319, 2023 | 14* | 2023 |
| Karyotype variation, spontaneous genome rearrangements affecting chemical insensitivity, and expression level polymorphisms in the plant pathogen Phytophthora infestans … MEH Matson, Q Liang, S Lonardi, HS Judelson PLoS Pathogens 18 (10), e1010869, 2022 | 9 | 2022 |
| Genome-wide functional screens enable the prediction of high activity CRISPR-Cas9 and -Cas12a guides in Yarrowia lipolytica D Baisya, A Ramesh, C Schwartz, S Lonardi, I Wheeldon Nature Communications 13 (1), 922, 2022 | 31 | 2022 |
| Reference-agnostic representation and visualization of pan-genomes Q Liang, S Lonardi BMC bioinformatics 22, 1-9, 2021 | 6 | 2021 |
| Genome-wide cutting scores enable sgRNA activity predictions and definition of essential genes in the yeast Yarrowia lipolytica A Ramesh, D Baisya, V Trivedi, S Lonardi, I Wheeldon 71st Annual Meeting and Exhibition 2021, 2021 | | 2021 |
| Prediction of histone post-translational modifications using deep learning DR Baisya, S Lonardi Bioinformatics 36 (24), 5610-5617, 2020 | 13 | 2020 |
| Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation A Roayaei Ardakany, HT Gezer, S Lonardi, F Ay Genome biology 21, 1-17, 2020 | 122 | 2020 |
| DeeplyEssential: a deep neural network for predicting essential genes in microbes MA Hasan, S Lonardi BMC bioinformatics 21, 1-19, 2020 | 26 | 2020 |
Eamonn KeoghDistinguished Professor of Computer Science, University of California - Riverside在 cs.ucr.edu 的电子邮件经过验证
