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Multimedia exploration framework

Type: 
Multimedia
One line description: 
Creation of efficient multimedia exploration applications
Annotation: 

Multimedia exploration framework is an extensible solution for creation of multimedia exploration applications.

It uses a modular architecture and already provides several implementantions for every component. Besides managing the software architecture and data flow, the framework also takes care of data source management, data retrieval, feature extraction, distance computation, metric indexing, query execution, data visiualization and GUI creation.

Contact the developers directly if you are interested in building an application using our framework.

Developers: 
jakub.lokoc
premek.cech
tomas.grosup
tomas.skopal

Multimedia exploration framework is an extensible solution for creation of multimedia exploration applications.

It uses a modular architecture and already provides several implementantions for every component. Besides managing the software architecture and data flow, the framework also takes care of data source management, data retrieval, feature extraction, distance computation, metric indexing, query execution, data visiualization and GUI creation.

Contact the developers directly if you are interested in building an application using our framework.

Using Neo4j for mining protein graphs: a case study

Authors: 
David Hoksza, Jan Jelínek
Indexed by WOS: 
Not indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Proceedings
State: 
Accepted
Language: 
EN
Conference/Journal name: 
NoSQL-Net - International Workshop on NoSQL Databases, Emerging Database Technologies and Applications, DEXA
Publisher: 
IEEE
Year: 
2015
Pages: 
230-235
Location: 
Valencia, Spain
ISBN: 
978-1-4799-5722-4

Efficient Extraction of Clustering-Based Feature Signatures Using GPU Architectures

Authors: 
M. Kruliš, J. Lokoč, T. Skopal
Indexed by WOS: 
Indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Journal
State: 
Accepted
Language: 
EN
Conference/Journal name: 
Multimedia tools and applications
Publisher: 
Springer
Year: 
2016
Volume: 
75
Issue: 
13
Pages: 
8071–8103
ISSN: 
1380-7501

Neo4j database of proteins for protein-protein interaction identification

The process of data extraction from PDB to the Neo4J DB is described in the paper "Using Neo4j for mining protein graphs: a case study" published at the 2nd International Workshop on NoSQL Databases, Emerging Database Technologies and Applications .

  • DB download (258 MB) generated using neo4jShell -c dump

Statistics:

Continuous Hierarchical Exploration of Multimedia Collections

Authors: 
T. Grošup, J. Moško, P. Čech
Indexed by WOS: 
Not indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Proceedings
State: 
Published
Language: 
EN
Conference/Journal name: 
Content-Based Multimedia Indexing (CBMI)
Publisher: 
IEEE
Year: 
2015
Location: 
Prague, Czech republic
ISBN: 
978-1-4673-6870-4

GAUK 201515

Name: 
Using metric indexes for efficient content-based multimedia exploration
Start year: 
2015
End year: 
2017
The multimedia exploration techniques become the most promising trends of the multimedia retrieval, because they allow an intuitive way of accessing the particular content of the multimedia databases. The exploration techniques are useful especially in cases, where traditional methods of data filtering fail or are insufficient.

rPredictor

Type: 
Bioinformatics & Cheminformatics
One line description: 
Infrastructure consisting of tools, a database and web interface that together enable predicting ribosomal RNA secondary structure and analysing it.
Annotation: 
rPredictor is a bioinformatical infrastructure consisting of tools, a database and a web interface that together enable predicting ribosomal RNA secondary structure and analysing it. The predicted structures, their analyses and further details about the rRNA molecules are accessible through this website.
The aim of rPredictor is to develop and deploy a technique of predicting ribosomal RNA secondary structure and make the resulting structural information readily available. At the same time, the rPredictor database contains rich annotations of rRNA structures and the underlying sequences.
The project is being developed at the Faculty of Mathematics and Physics, Charles University in Prague in close cooperation with the bioinformatics laboratory of Microbiology Institute AVČR.
Developers: 
david.hoksza

P2RANK: knowledge-based ligand binding site prediction using aggregated local features

Authors: 
Radoslav Krivák, David Hoksza
Indexed by WOS: 
Indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Proceedings
State: 
Accepted
Language: 
EN
Conference/Journal name: 
AlCoB
Publisher: 
Springer
Year: 
2015
Pages: 
41-52
Location: 
Mexico City, Mexico
ISBN: 
978-3-319-21232-6

GAUK 174615

Name: 
Adaptive virtual screening
Start year: 
2015
End year: 
2017

Biological screening is used to detect the ability of small molecules to trigger a response in a macromolecular target by binding to it. The main disadvantage of physical screening is its price and the need to own the tested molecules. An alternative to the physicial screening is its in-silico variant - virtual screening (VS). VS commonly takes place in the early stages of drug discovery as a molecular filter before physical screening.

Investigators
Investigator: 
petr.skoda
Investigator role: 
Principal investigator
Investigator: 
jan.jelinek
Investigator role: 
Co-Investigator
Investigator: 
radoslav.krivak
Investigator role: 
Co-Investigator

Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features

Authors: 
Radoslav Krivák, David Hoksza
Indexed by WOS: 
Indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Journal
State: 
Published
Language: 
EN
Conference/Journal name: 
Journal of Cheminformatics
Publisher: 
Chemistry Central
Year: 
2015
Volume: 
7
Issue: 
1
ISSN: 
1758-2946
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