The use of distributed data storage and processing systems in bioinformatic data analysis

Michał Bochenek; Kamil Folkert; Roman Jaksik; Michał Krzesiak; Marcin Michalak; Marek Sikora; Tomasz Stȩclik; Łukasz Wróbel

doi:10.1007/978-3-319-99987-6_2

The use of distributed data storage and processing systems in bioinformatic data analysis

Michał Bochenek
, Kamil Folkert
, Roman Jaksik
, Michał Krzesiak
, Marcin Michalak
, Marek Sikora
, Tomasz Stȩclik
, Łukasz Wróbel

3 Soft S.A.
Institute of Innovative Technologies EMAG

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

Abstrakt

The cancer and the cancer mortality may seem the sign of the present times. This leads hundreds of scientists to handle the issue of finding significant premises of cancer occurrence. In this paper a set of data mining tasks is defined that joins the observed genes mutation with the specific cancer type observation. Due to the high computational complexity of this kind of data a Hadoop ecosystem cluster was developed to perform the required calculations. The results may be satisfactory in the domains of distributed data storage (processing) and the genes mutation occurrence interpretation.

Język oryginału	angielski
Tytuł publikacji goszczącej	Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings
Redaktorzy	Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bozena Malysiak-Mrozek, Daniel Kostrzewa
Wydawca	Springer Verlag
Strony	18-32
Liczba stron	15
ISBN (drukowany)	9783319999869
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-99987-6_2
Status publikacji	Opublikowano - 2018
Wydarzenie	14th International Conference on Beyond Databases, Architectures and Structures, BDAS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018 - Poznan, Polska Czas trwania: 18 wrz 2018 → 20 wrz 2018

Seria publikacji

Nazwa	Communications in Computer and Information Science
Tom	928
ISSN (drukowany)	1865-0929

Konferencja

Konferencja	14th International Conference on Beyond Databases, Architectures and Structures, BDAS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018
Kraj/Terytorium	Polska
Miejscowość	Poznan
Okres	18/09/18 → 20/09/18

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 3 Dobre zdrowie i dobre samopoczucie

Obszary tematyczne ASJC Scopus

Informatyka ogólna
Matematyka ogólna

Uzyskaj dostęp do dokumentu

10.1007/978-3-319-99987-6_2

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Bochenek, M., Folkert, K., Jaksik, R., Krzesiak, M., Michalak, M., Sikora, M., Stȩclik, T., & Wróbel, Ł. (2018). The use of distributed data storage and processing systems in bioinformatic data analysis. W S. Kozielski, D. Mrozek, P. Kasprowski, B. Malysiak-Mrozek, & D. Kostrzewa (Red.), Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings (str. 18-32). (Communications in Computer and Information Science; Tom 928). Springer Verlag. https://doi.org/10.1007/978-3-319-99987-6_2

Bochenek, Michał ; Folkert, Kamil ; Jaksik, Roman i in. / The use of distributed data storage and processing systems in bioinformatic data analysis. Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings. redaktor / Stanislaw Kozielski ; Dariusz Mrozek ; Pawel Kasprowski ; Bozena Malysiak-Mrozek ; Daniel Kostrzewa. Springer Verlag, 2018. str. 18-32 (Communications in Computer and Information Science).

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title = "The use of distributed data storage and processing systems in bioinformatic data analysis",

abstract = "The cancer and the cancer mortality may seem the sign of the present times. This leads hundreds of scientists to handle the issue of finding significant premises of cancer occurrence. In this paper a set of data mining tasks is defined that joins the observed genes mutation with the specific cancer type observation. Due to the high computational complexity of this kind of data a Hadoop ecosystem cluster was developed to perform the required calculations. The results may be satisfactory in the domains of distributed data storage (processing) and the genes mutation occurrence interpretation.",

keywords = "Biomedical data, Distributed computing, Gene mutations, Hadoop ecosystem, TCGA data analysis",

author = "Micha{\l} Bochenek and Kamil Folkert and Roman Jaksik and Micha{\l} Krzesiak and Marcin Michalak and Marek Sikora and Tomasz Stȩclik and {\L}ukasz Wr{\'o}bel",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 14th International Conference on Beyond Databases, Architectures and Structures, BDAS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018 ; Conference date: 18-09-2018 Through 20-09-2018",

year = "2018",

doi = "10.1007/978-3-319-99987-6\_2",

language = "English",

isbn = "9783319999869",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

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editor = "Stanislaw Kozielski and Dariusz Mrozek and Pawel Kasprowski and Bozena Malysiak-Mrozek and Daniel Kostrzewa",

booktitle = "Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings",

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Bochenek, M, Folkert, K, Jaksik, R, Krzesiak, M, Michalak, M , Sikora, M , Stȩclik, T & Wróbel, Ł 2018, The use of distributed data storage and processing systems in bioinformatic data analysis. w S Kozielski, D Mrozek, P Kasprowski, B Malysiak-Mrozek & D Kostrzewa (red), Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings. Communications in Computer and Information Science, tom 928, Springer Verlag, str. 18-32, 14th International Conference on Beyond Databases, Architectures and Structures, BDAS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Polska, 18/09/18. https://doi.org/10.1007/978-3-319-99987-6_2

The use of distributed data storage and processing systems in bioinformatic data analysis. / Bochenek, Michał; Folkert, Kamil; Jaksik, Roman i in.
Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings. red. / Stanislaw Kozielski; Dariusz Mrozek; Pawel Kasprowski; Bozena Malysiak-Mrozek; Daniel Kostrzewa. Springer Verlag, 2018. str. 18-32 (Communications in Computer and Information Science; Tom 928).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - The use of distributed data storage and processing systems in bioinformatic data analysis

AU - Bochenek, Michał

AU - Folkert, Kamil

AU - Jaksik, Roman

AU - Krzesiak, Michał

AU - Michalak, Marcin

AU - Sikora, Marek

AU - Stȩclik, Tomasz

AU - Wróbel, Łukasz

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2018.

PY - 2018

Y1 - 2018

N2 - The cancer and the cancer mortality may seem the sign of the present times. This leads hundreds of scientists to handle the issue of finding significant premises of cancer occurrence. In this paper a set of data mining tasks is defined that joins the observed genes mutation with the specific cancer type observation. Due to the high computational complexity of this kind of data a Hadoop ecosystem cluster was developed to perform the required calculations. The results may be satisfactory in the domains of distributed data storage (processing) and the genes mutation occurrence interpretation.

AB - The cancer and the cancer mortality may seem the sign of the present times. This leads hundreds of scientists to handle the issue of finding significant premises of cancer occurrence. In this paper a set of data mining tasks is defined that joins the observed genes mutation with the specific cancer type observation. Due to the high computational complexity of this kind of data a Hadoop ecosystem cluster was developed to perform the required calculations. The results may be satisfactory in the domains of distributed data storage (processing) and the genes mutation occurrence interpretation.

KW - Biomedical data

KW - Distributed computing

KW - Gene mutations

KW - Hadoop ecosystem

KW - TCGA data analysis

UR - https://www.scopus.com/pages/publications/85053823325

U2 - 10.1007/978-3-319-99987-6_2

DO - 10.1007/978-3-319-99987-6_2

M3 - Conference contribution

AN - SCOPUS:85053823325

SN - 9783319999869

T3 - Communications in Computer and Information Science

SP - 18

EP - 32

BT - Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings

A2 - Kozielski, Stanislaw

A2 - Mrozek, Dariusz

A2 - Kasprowski, Pawel

A2 - Malysiak-Mrozek, Bozena

A2 - Kostrzewa, Daniel

PB - Springer Verlag

T2 - 14th International Conference on Beyond Databases, Architectures and Structures, BDAS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018

Y2 - 18 September 2018 through 20 September 2018

ER -

Bochenek M, Folkert K, Jaksik R, Krzesiak M, Michalak M , Sikora M i in. The use of distributed data storage and processing systems in bioinformatic data analysis. W Kozielski S, Mrozek D, Kasprowski P, Malysiak-Mrozek B, Kostrzewa D, redaktorzy, Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings. Springer Verlag. 2018. str. 18-32. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-99987-6_2

The use of distributed data storage and processing systems in bioinformatic data analysis

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

Fingerprint

Cytowanie