<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

The correctness of large scale analysis of genomic data

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"The correctness of large scale analysis of genomic data"}

Implementing a large genomic project is a demanding task, also from the computer science point of view. Besides collecting many genome samples and sequencing...

The correctness of large scale analysis of genomic data

Online veröffentlicht: 17. Dez. 2021

Seitenbereich: 423 - 436

Eingereicht: 02. Okt. 2021

Akzeptiert: 27. Nov. 2021

DOI: https://doi.org/10.2478/fcds-2021-0024

Schlüsselwörter
genomic data, large scale analysis, processing pipeline

© 2021 Pawel Wojciechowski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The correctness of large scale analysis of genomic data

Online veröffentlicht: 17. Dez. 2021

Seitenbereich: 423 - 436

Eingereicht: 02. Okt. 2021

Akzeptiert: 27. Nov. 2021

DOI: https://doi.org/10.2478/fcds-2021-0024

Schlüsselwörtergenomic data, large scale analysis, processing pipeline

© 2021 Pawel Wojciechowski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
genomic data, large scale analysis, processing pipeline