Published January 24, 2020
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Data Management and Summary Statistics with PLINK
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Abstract
PLINK is a versatile program which supports data management, quality control, and common statistical computations on matrices of genomic variant calls, in a computationally efficient manner. In population genomics, it is frequently used to take care of the "basics," so they do not need to be reimplemented when a new type of analysis needs to be performed on such a matrix. I describe several of these basic operations, and discuss uses and pitfalls.
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© 2020 The Author(s). This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. First Online: 24 January 2020.Attached Files
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Identifiers
- Eprint ID
- 100952
- Resolver ID
- CaltechAUTHORS:20200127-141801552
Dates
- Created
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2020-01-28Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
Caltech Custom Metadata
- Series Name
- Methods in Molecular Biology
- Series Volume or Issue Number
- 2090