Matej Lexa

Matej Lexa

Masarykova univerzita

H-index: 21

Europe-Czech Republic

About Matej Lexa

Matej Lexa, With an exceptional h-index of 21 and a recent h-index of 16 (since 2020), a distinguished researcher at Masarykova univerzita, specializes in the field of Bioinformatics, Computer Science, Molecular Biology, Plant Physiology.

His recent articles reflect a diverse array of research interests and contributions to the field:

High-throughput spike detection in greenhouse cultivated grain crops with attention mechanisms based deep learning models

Alternatives to classical HiC data analysis

TE-greedy-nester: a tool for reconstruction of transposable elements in plant genomes

Analysis and classification of long terminal repeat sequences from plant LTR-retrotransposons

HiC-TE: a computational pipeline for Hi-C data analysis to study the role of repeat family interactions in the genome 3D organization

Significant mutation enrichment in inverted repeat sites of new SARS-CoV-2 strains

Escherichia coli Strains Producing Selected Bacteriocins Inhibit Porcine Enterotoxigenic Escherichia coli (ETEC) under both In Vitro and In Vivo Conditions

Patients with common variable immunodeficiency (CVID) show higher gut bacterial diversity and levels of low-abundance genes than the healthy housemates

Matej Lexa Information

University

Position

Czech Republic

Citations(all)

1356

Citations(since 2020)

740

Cited By

878

hIndex(all)

21

hIndex(since 2020)

16

i10Index(all)

34

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Matej Lexa Skills & Research Interests

Bioinformatics

Computer Science

Molecular Biology

Plant Physiology

Top articles of Matej Lexa

High-throughput spike detection in greenhouse cultivated grain crops with attention mechanisms based deep learning models

Plant Phenomics

2024

Alternatives to classical HiC data analysis

2023

Matej Lexa
Matej Lexa

H-Index: 13

Hedi Hegyi
Hedi Hegyi

H-Index: 13

TE-greedy-nester: a tool for reconstruction of transposable elements in plant genomes

2023

Matej Lexa
Matej Lexa

H-Index: 13

Analysis and classification of long terminal repeat sequences from plant LTR-retrotransposons

2023

Matej Lexa
Matej Lexa

H-Index: 13

HiC-TE: a computational pipeline for Hi-C data analysis to study the role of repeat family interactions in the genome 3D organization

Bioinformatics

2022/8/15

Matej Lexa
Matej Lexa

H-Index: 13

Monika Cechova
Monika Cechova

H-Index: 8

Significant mutation enrichment in inverted repeat sites of new SARS-CoV-2 strains

Briefings in Bioinformatics

2021/9

Escherichia coli Strains Producing Selected Bacteriocins Inhibit Porcine Enterotoxigenic Escherichia coli (ETEC) under both In Vitro and In Vivo Conditions

Applied and Environmental Microbiology

2021/6/25

Matej Lexa
Matej Lexa

H-Index: 13

Patients with common variable immunodeficiency (CVID) show higher gut bacterial diversity and levels of low-abundance genes than the healthy housemates

Frontiers in Immunology

2021/5/14

Matej Lexa
Matej Lexa

H-Index: 13

SARS-CoV-2 hot-spot mutations are significantly enriched within inverted repeats and CpG island loci

Briefings in Bioinformatics

2021/3

TE-greedy-nester: structure-based detection of LTR retrotransposons and their nesting

Bioinformatics

2020/10/15

Matej Lexa
Matej Lexa

H-Index: 13

What can long terminal repeats tell us about the age of LTR retrotransposons, gene conversion and ectopic recombination?

Frontiers in plant science

2020/5/20

Matej Lexa
Matej Lexa

H-Index: 13

pqsfinder: User Guide

2020/4/27

pqsfinder web: G-quadruplex prediction using optimized pqsfinder algorithm

Bioinformatics

2020/4/15

Matej Lexa
Matej Lexa

H-Index: 13

See List of Professors in Matej Lexa University(Masarykova univerzita)

Co-Authors

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