Mile Sikic
Mile Sikic
University of Zagreb, Faculty of Electrical Engineering and Computing
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Zitiert von
Zitiert von
Fast and accurate de novo genome assembly from long uncorrected reads
R Vaser, I Sović, N Nagarajan, M Šikić
Genome research 27 (5), 737-746, 2017
SIFT missense predictions for genomes
R Vaser, S Adusumalli, SN Leng, M Sikic, PC Ng
Nature protocols 11 (1), 1-9, 2016
Fast and sensitive mapping of nanopore sequencing reads with GraphMap
I Sović, M Šikić, A Wilm, SN Fenlon, S Chen, N Nagarajan
Nature communications 7 (1), 1-11, 2016
Metals in proteins: correlation between the metal-ion type, coordination number and the amino-acid residues involved in the coordination
I Dokmanić, M Šikić, S Tomić
Acta Crystallographica Section D: Biological Crystallography 64 (3), 257-263, 2008
Prediction of protein–protein interaction sites in sequences and 3D structures by random forests
M Šikić, S Tomić, K Vlahoviček
PLoS computational biology 5 (1), e1000278, 2009
PSAIA–protein structure and interaction analyzer
J Mihel, M Šikić, S Tomić, B Jeren, K Vlahoviček
BMC structural biology 8 (1), 1-11, 2008
Edlib: a C/C++ library for fast, exact sequence alignment using edit distance
M Šošić, M Šikić
Bioinformatics 33 (9), 1394-1395, 2017
Hybrid metagenomic assembly enables high-resolution analysis of resistance determinants and mobile elements in human microbiomes
D Bertrand, J Shaw, M Kalathiyappan, AHQ Ng, MS Kumar, C Li, ...
Nature biotechnology 37 (8), 937-944, 2019
Large-scale functional organization of long-range chromatin interaction networks
KS Sandhu, G Li, HM Poh, YLK Quek, YY Sia, SQ Peh, FH Mulawadi, ...
Cell reports 2 (5), 1207-1219, 2012
Identification of patient zero in static and temporal networks: Robustness and limitations
N Antulov-Fantulin, A Lančić, T Šmuc, H Štefančić, M Šikić
Physical review letters 114 (24), 248701, 2015
SW#–GPU-enabled exact alignments on genome scale
M Korpar, M Šikić
Bioinformatics 29 (19), 2494–2495, 2013
Evaluation of tools for long read RNA-seq splice-aware alignment
K Križanović, A Echchiki, J Roux, M Šikić
Bioinformatics 34 (5), 748-754, 2018
Evaluation of hybrid and non-hybrid methods for de novo assembly of nanopore reads
I Sović, K Križanović, K Skala, M Šikić
Bioinformatics 32 (17), 2582-2589, 2016
Epidemic centrality-is there an underestimated epidemic impact of network peripheral nodes?
M Sikic, A Lancic, N Antulov-Fantulin, H Stefancic
The European Physical Journal B 86 (10), 2013
Time-and memory-efficient genome assembly with Raven
R Vaser, M Šikić
Nature Computational Science 1 (5), 332-336, 2021
BioMe: biologically relevant metals
A Tus, A Rakipović, G Peretin, S Tomić, M Šikić
Nucleic acids research 40 (W1), W352-W357, 2012
Raven: a de novo genome assembler for long reads
R Vaser, M Šikić
BioRxiv, 2020.08. 07.242461, 2021
Statistical inference framework for source detection of contagion processes on arbitrary network structures
N Antulov-Fantulin, A Lancic, H Stefancic, M Sikic, T Smuc
2014 IEEE Eighth International Conference on Self-Adaptive and Self …, 2014
FastSIR algorithm: A fast algorithm for the simulation of the epidemic spread in large networks by using the susceptible–infected–recovered compartment model
N Antulov-Fantulin, A Lančić, H Štefančić, M Šikić
Information sciences 239, 226-240, 2013
Yet another de novo genome assembler
R Vaser, M Šikić
2019 11th International Symposium on Image and Signal Processing and …, 2019
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