Matej Lexa

发表

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

Matej Lexa, Pavel Jedlicka, Ivan Vanat, 2020, Bioinform..

cswHMM: A Novel Context Switching Hidden Markov Model for Biological Sequence Analysis

Matej Lexa, Vojtech Bystrý, 2012, BIOINFORMATICS.

PRIMEX: rapid identification of oligonucleotide matches in whole genomes

Giorgio Valle, Matej Lexa, 2003, Bioinform..

Virtual PCR

Matej Lexa, J. Horak, B. Brzobohaty, 2001, Bioinform..

Hardware acceleration of approximate palindromes searching

Tomás Martínek, Matej Lexa, 2008, 2008 International Conference on Field-Programmable Technology.

A dynamic programming algorithm for identification of triplex-forming sequences

Tomás Martínek, Matej Lexa, Ivana Burgetova, 2011, Bioinform..

Hardware Acceleration of Approximate Tandem Repeat Detection

Tomás Martínek, Matej Lexa, M. Lexa, 2010, 2010 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines.

Triplex: an R/Bioconductor package for identification and visualization of potential intramolecular triplex patterns in DNA sequences

Tomás Martínek, Matej Lexa, Kamil Rajdl, 2013, Bioinform..

pqsfinder: an exhaustive and imperfection‐tolerant search tool for potential quadruplex‐forming sequences in R

Tomás Martínek, Jaroslav Zendulka, Matej Lexa, 2017, Bioinform..

BIOINFORMATICS ORIGINAL PAPER Sequence analysis RAP: a new computer program for de novo identification of repeated sequences in whole genomes

Giorgio Valle, Chiara Romualdi, Nicola Cannata, 2004 .

The Possibilities of Filtering Pairs of SNPs in GWAS Studies - Exploratory Study on Public Protein-interaction and Pathway Data

Matej Lexa, Stanislav Stefanic, M. Lexa, 2014, BIOINFORMATICS.

Hammock: a hidden Markov model-based peptide clustering algorithm to identify protein-interaction consensus motifs in large datasets

Borivoj Vojtesek, Petr Müller, Matej Lexa, 2015, Bioinform..

TE-nester: a recursive software tool for structure-based discovery of nested transposable elements

Matej Lexa, Pavel Jedlicka, Ivan Vanat, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Data-Mining Protein Structure by Clustering, Segmentation and Evolutionary Algorithms

Ivan Zelinka, Václav Snásel, Matej Lexa, 2009, Foundations of Computational Intelligence.

Itat 2013: Information Technologies - Applications and Theory (Workshops, Posters, and Tutorials)

Peter Vojtáš, Ladislav Peska, Matej Lexa, 2013 .

Automatic generation of circuits for approximate string matching

Tomás Martínek, Matej Lexa, Otto Fucík, 2007, 2007 IEEE Design and Diagnostics of Electronic Circuits and Systems.

Genomic PCR simulation with hardware-accelerated approximatesequence matching

Matej Lexa, Tomáš Martínek, Patrik Beck, 2007 .

Combining rapid word searches with segment-to-segment alignmentfor sensitive similarity detection, domain identification andstructural modelling

Giorgio Valle, Matej Lexa, 2004 .

Prediction of Significant Cruciform Structures from Sequence in Topologically Constrained DNA - A Probabilistic Modelling Approach

Matej Lexa, Marie Brázdová, Lucie Navrátilová, 2012, BIOINFORMATICS.

A flexible technique for the automatic design of approximate string matching architectures

Tomás Martínek, Jan Korenek, Matej Lexa, 2006, 2006 IEEE Design and Diagnostics of Electronic Circuits and systems.

Statistical software reviews: DYMO version 1.0

Matej Lexa, David Greenhalgh, 1992 .

Architecture model for approximate palindrome detection

Tomás Martínek, Matej Lexa, Jan Vozenilek, 2009, 2009 12th International Symposium on Design and Diagnostics of Electronic Circuits & Systems.

pqsfinder web: G-quadruplex prediction using optimized pqsfinder algorithm

Matej Lexa, Dominika Labudová, Jiří Hon, 2019, Bioinform..

Bioinformatics Summer School 2014: Theoretical and practical aspects of processing and analysis of sequencing data

Alexandru Popa, Matej Lexa, Tomáš Martínek, 2014 .

Uneven Distribution of Potential Triplex Sequences in the Human Genome - In Silico Study using the R/Bioconductor Package Triplex

Tomás Martínek, Matej Lexa, Marie Brázdová, 2014, BIOINFORMATICS.

A Flexible Denormalization Technique for Data Analysis above a Deeply-Structured Relational Database: Biomedical Applications

Matej Lexa, Stanislav Stefanic, M. Lexa, 2015, IWBBIO.

R/Bioconductor package for identification of triplex-forming sequences

Matej Lexa, Tomáš Martínek, Kamil Rajdl, 2013 .

Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments

Jaroslav Zendulka, Matej Lexa, Ivana Rudolfova, 2010, ITBAM.

Semi-automatic mining of correlated data from a complex database: Correlation network visualization

Matej Lexa, Radovan Lapar, 2016, ICCABS.

Segmentation of texts and biological sequences into lexical and structural units using a machine-learning approach

Tomáš Hudík, Matej Lexa, 2005 .

Architecture model for approximate tandem repeat detection

Tomás Martínek, Matej Lexa, 2011, ASAP 2011 - 22nd IEEE International Conference on Application-specific Systems, Architectures and Processors.

Quadruplex-forming DNA sequences spread by retrotransposons may serve as genome regulators

Matej Lexa, Eduard Kejnovsky, M. Lexa, 2014, Mobile genetic elements.

Guanine quadruplexes are formed by specific regions of human transposable elements

Matej Lexa, Eduard Kejnovsky, Boris Vyskot, 2014, BMC Genomics.

Quadruplex DNA in long terminal repeats in maize LTR retrotransposons inhibits the expression of a reporter gene in yeast

Matej Lexa, Eduard Kejnovsky, Viktor Tokan, 2018, BMC Genomics.