The correctness of large scale analysis of genomic data

• Autorzy: Wojciechowski Paweł , Krause Karol , Lukasiak Piotr , Blazewicz Jacek

Identyfikatory

DOI

10.2478/fcds-2021-0024

• Języki publikacji: EN

Abstrakty

EN

Implementing a large genomic project is a demanding task, also from the computer science point of view. Besides collecting many genome samples and sequencing them, there is processing of a huge amount of data at every stage of their production and analysis. Efficient transfer and storage of the data is also an important issue. During the execution of such a project, there is a need to maintain work standards and control quality of the results, which can be difficult if a part of the work is carried out externally. Here, we describe our experience with such data quality analysis on a number of levels - from an obvious check of the quality of the results obtained, to examining consistency of the data at various stages of their processing, to verifying, as far as possible, their compatibility with the data describing the sample.

Słowa kluczowe

EN

genomic data; large scale analysis; process pipelines

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2021
• Tom: Vol. 46, No. 4
• Strony: 423--436
• Opis fizyczny: Bibliogr. 24 poz., rys.

Twórcy

autor

Wojciechowski Paweł

• Institute of Computing Science, Poznan University of Technology, Poland
• Laboratory of Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences

autor

Krause Karol

• Institute of Computing Science, Poznan University of Technology, Poland

autor

Lukasiak Piotr

• Institute of Computing Science, Poznan University of Technology, Poland
• Laboratory of Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences

autor

Blazewicz Jacek

• Institute of Computing Science, Poznan University of Technology, Poland
• Laboratory of Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences

Bibliografia

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Uwagi

PL

Badania wykonano w oparciu o grant nr POIR.04.02.00-30-A004/16

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).