ScaffMatch: scaffolding algorithm based on maximum weight matching I Mandric, A Zelikovsky Bioinformatics 31 (16), 2632-2638, 2015 | 38 | 2015 |
QUENTIN: reconstruction of disease transmissions from viral quasispecies genomic data P Skums, A Zelikovsky, R Singh, W Gussler, Z Dimitrova, S Knyazev, ... Bioinformatics 34 (1), 163-170, 2018 | 32 | 2018 |
Fast bootstrapping-based estimation of confidence intervals of expression levels and differential expression from RNA-Seq data I Mandric, Y Temate-Tiagueu, T Shcheglova, S Al Seesi, A Zelikovsky, ... Bioinformatics 33 (20), 3302-3304, 2017 | 30 | 2017 |
Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis I Mandric, T Schwarz, A Majumdar, K Hou, L Briscoe, R Perez, ... Nature communications 11 (1), 1-9, 2020 | 6 | 2020 |
Repeat-aware evaluation of scaffolding tools I Mandric, S Knyazev, A Zelikovsky Bioinformatics 34 (15), 2530-2537, 2018 | 6 | 2018 |
Inferring metabolic pathway activity levels from RNA-Seq data Y Temate-Tiagueu, S Al Seesi, M Mathew, I Mandric, A Rodriguez, ... BMC genomics 17 (5), 542, 2016 | 6 | 2016 |
Benchmarking of computational error-correction methods for next-generation sequencing data K Mitchell, JJ Brito, I Mandric, Q Wu, S Knyazev, S Chang, LS Martin, ... Genome biology 21 (1), 1-13, 2020 | 5 | 2020 |
Profiling adaptive immune repertoires across multiple human tissues by RNA Sequencing S Mangul, I Mandric, HT Yang, N Strauli, D Montoya, J Rotman, ... bioRxiv, 089235, 2016 | 5 | 2016 |
Scaffolding algorithms I Mandric, J Lindsay, II Măndoiu, A Zelikovsky Computational Methods for Next Generation Sequencing Data Analysis, 107-132, 2016 | 5 | 2016 |
Rrp6 Moonlights in an RNA Exosome-Independent Manner to Promote Cell Survival and Gene Expression during Stress C Wang, Y Liu, SM DeMario, I Mandric, C Gonzalez-Figueroa, ... Cell Reports 31 (10), 107754, 2020 | 3 | 2020 |
Silp3: Maximum likelihood approach to scaffolding I Mandric, J Lindsay, I Măndoiu, A Zelikovsky 2014 IEEE 4th International Conference on Computational Advances in Bio and …, 2014 | 3 | 2014 |
MiCoP: microbial community profiling method for detecting viral and fungal organisms in metagenomic samples N LaPierre, S Mangul, M Alser, I Mandric, NC Wu, D Koslicki, E Eskin BMC genomics 20 (5), 423, 2019 | 2 | 2019 |
Metabolic analysis of metatranscriptomic data from planktonic communities I Mandric, S Knyazev, C Padilla, F Stewart, II Măndoiu, A Zelikovsky International Symposium on Bioinformatics Research and Applications, 396-402, 2017 | 2 | 2017 |
Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing I Mandric, J Rotman, HT Yang, N Strauli, DJ Montoya, W Van Der Wey, ... Nature communications 11 (1), 1-14, 2020 | 1 | 2020 |
BATMAN: fast and accurate integration of single-cell RNA-Seq datasets via minimum-weight matching I Mandric, BL Hill, MK Freund, M Thompson, E Halperin Iscience, 101185, 2020 | 1 | 2020 |
Estimating Enzyme Participation in Metabolic Pathways for Microbial Communities from RNA-seq Data F Rondel, R Hosseini, B Sahoo, S Knyazev, I Mandric, F Stewart, ... International Symposium on Bioinformatics Research and Applications, 335-343, 2020 | | 2020 |
Gerrymandering and fair districting in parallel voting systems I Mandric, I Roşca, R Buzatu arXiv preprint arXiv:2002.06849, 2020 | | 2020 |
Single cell transcriptomic analyses reveal the impact of bHLH factors ATOH7 and Neurog2 on human retinal organoid development X Zhang, I Mandric, KH Nguyen, TTT Nguyen, M Pellegrini, JCR Grove, ... bioRxiv, 2020 | | 2020 |
Single cell transcriptomic analysis reveals the impact of elevating neurogenic factor expression on human retinal organoid development X Zhang, I Mandric, KH Nguyen, TTT Nguyen, M Pellegrini, JCR Grove, ... bioRxiv, 2020 | | 2020 |
Abstract LB-214: Imputation of single cell cancer genotypes A Zelikovsky, I Mandric, P Skums, I Mandoiu, B Pasaniuc, P Srivastava Cancer Research 79 (13 Supplement), LB-214-LB-214, 2019 | | 2019 |