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Correction to: Application of geographic population structure (GPS) algorithm for biogeographical analyses of populations with complex ancestries: a case study of South Asians from 1000 genomes project

BMC Genetics volume 19, Article number: 96 (2018) Cite this article

The Original Article was published on 28 December 2017

Correction

Following publication of the original article [1], the authors flagged that acknowledgment of their equal contribution is omitted in the article [1].

As such, please be advised that both authors contributed equally to this work.

We apologize for this processing error.

Reference

  1. Das, et al. Application of geographic population structure (GPS) algorithm for biogeographical analyses of populations with complex ancestries: a case study of South Asians from 1000 genomes project. BMC Genet. 2017;18(Suppl 1):109. https://doi.org/10.1186/s12863-017-0579-2.

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Author notes

  1. Ranajit Das and Priyanka Upadhyai contributed equally to this work.

Authors and Affiliations

  1. Manipal Centre for Natural Sciences (MCNS), Manipal Academy of Higher Education, Madhav Nagar, Manipal, Karnataka, 576104, India

    Ranajit Das

  2. Department of Medical Genetics, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India

    Priyanka Upadhyai

Authors
  1. Ranajit Das
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  2. Priyanka Upadhyai
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Correspondence to Ranajit Das.

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Das, R., Upadhyai, P. Correction to: Application of geographic population structure (GPS) algorithm for biogeographical analyses of populations with complex ancestries: a case study of South Asians from 1000 genomes project. BMC Genet 19, 96 (2018). https://doi.org/10.1186/s12863-018-0683-y

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  • DOI: https://doi.org/10.1186/s12863-018-0683-y

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