Igor Mandric
Igor Mandric
Verified email at illumina.com
Cited by
Cited by
ScaffMatch: scaffolding algorithm based on maximum weight matching
I Mandric, A Zelikovsky
Bioinformatics 31 (16), 2632-2638, 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
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
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
Repeat-aware evaluation of scaffolding tools
I Mandric, S Knyazev, A Zelikovsky
Bioinformatics 34 (15), 2530-2537, 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
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
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
Scaffolding algorithms
I Mandric, J Lindsay, II Măndoiu, A Zelikovsky
Computational Methods for Next Generation Sequencing Data Analysis, 107-132, 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
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
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
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
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
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
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
Gerrymandering and fair districting in parallel voting systems
I Mandric, I Roşca, R Buzatu
arXiv preprint arXiv:2002.06849, 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
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
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
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