activity
20132020
most citedMinCall - MinION end2end convolutional deep learning basecaller

6 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20203 cited

A step towards neural genome assembly

Lovro Vrček, Petar Veličković, Mile Šikić

De novo genome assembly focuses on finding connections between a vast amount of short sequences in order to reconstruct the original genome. The central problem of genome assembly…

cs.LG20192 cited

Read classification using semi-supervised deep learning

Tomislav Šebrek, Jan Tomljanović, Josip Krapac +1

In this paper, we propose a semi-supervised deep learning method for detecting the specific types of reads that impede the de novo genome assembly process. Instead of dealing direc…

q-bio.GN20196 cited

MinCall - MinION end2end convolutional deep learning basecaller

Neven Miculinić, Marko Ratković, Mile Šikić

The Oxford Nanopore Technologies's MinION is the first portable DNA sequencing device. It is capable of producing long reads, over 100 kBp were reported. However, it has significan…

cs.SI2018

Disentangling sources of influence in online social networks

Matija Piškorec, Tomislav Šmuc, Mile Šikić

Information propagation in online social networks is facilitated by two types of influence - endogenous (peer) influence that acts between users of the social network and exogenous…

cs.DC20135 cited

SW# - GPU enabled exact alignments on genome scale

Matija Korpar, Mile Sikic

Sequence alignment is one of the oldest and the most famous problems in bioinformatics. Even after 45 years, for one reason or another, this problem is still actual; current soluti…