Obtaining estimates for the ages of all the protein-coding genes and most of the ontology-identified noncoding genes of the human genome, assigned to 19 phylostrata

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Obtaining estimates for the ages of all the protein-coding genes and most of the ontology-identified noncoding genes of the human genome, assigned to 19 phylostrata. / Litman, Thomas; Stein, Wilfred D.

In: Seminars in Oncology, Vol. 46, No. 1, 2019, p. 3-9.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Litman, T & Stein, WD 2019, 'Obtaining estimates for the ages of all the protein-coding genes and most of the ontology-identified noncoding genes of the human genome, assigned to 19 phylostrata', Seminars in Oncology, vol. 46, no. 1, pp. 3-9. https://doi.org/10.1053/j.seminoncol.2018.11.002

APA

Litman, T., & Stein, W. D. (2019). Obtaining estimates for the ages of all the protein-coding genes and most of the ontology-identified noncoding genes of the human genome, assigned to 19 phylostrata. Seminars in Oncology, 46(1), 3-9. https://doi.org/10.1053/j.seminoncol.2018.11.002

Vancouver

Litman T, Stein WD. Obtaining estimates for the ages of all the protein-coding genes and most of the ontology-identified noncoding genes of the human genome, assigned to 19 phylostrata. Seminars in Oncology. 2019;46(1):3-9. https://doi.org/10.1053/j.seminoncol.2018.11.002

Author

Litman, Thomas ; Stein, Wilfred D. / Obtaining estimates for the ages of all the protein-coding genes and most of the ontology-identified noncoding genes of the human genome, assigned to 19 phylostrata. In: Seminars in Oncology. 2019 ; Vol. 46, No. 1. pp. 3-9.

Bibtex

@article{2ae68edd41234aa981a5749929e89f22,
title = "Obtaining estimates for the ages of all the protein-coding genes and most of the ontology-identified noncoding genes of the human genome, assigned to 19 phylostrata",
abstract = "Following Liebeskind et al [1], we have attempted to find consensus ages for the protein-coding and the noncoding genes of the human genome, using publicly-available ortholog databases. For each database separately, we determined its age estimate for the genes it listed, determining this by identifying the earliest ortholog for the gene in question. We assigned these ages to 1 of the 19 major phylostrata defined by Domazet-Loso and Tautz [2], 2 of which were further subdivided. From these various estimates, we found the modal value if 1 was present, defining this as the consensus age for the gene. For the genes where no consensus value could be found, we recorded the median value of the age estimates across the databases interrogated. We present a resource that lists the age, as so defined, of every one of the 19,660 protein-coding genes and of 5,981 of the 16,528 non-protein-coding genes of the human genome, the age being the time when the gene was accreted to the evolving human genome. We calculate the number of genes that accreted to the genome, epoch by epoch, and consider the rate at which they accreted.",
keywords = "Computational Biology, Databases, Genetic, Evolution, Molecular, Genome, Human/genetics, Humans, Open Reading Frames/genetics, Sequence Homology",
author = "Thomas Litman and Stein, {Wilfred D}",
note = "Copyright {\textcopyright} 2018 The Authors. Published by Elsevier Inc. All rights reserved.",
year = "2019",
doi = "10.1053/j.seminoncol.2018.11.002",
language = "English",
volume = "46",
pages = "3--9",
journal = "Seminars in Oncology",
issn = "0093-7754",
publisher = "W.B.Saunders Co.",
number = "1",

}

RIS

TY - JOUR

T1 - Obtaining estimates for the ages of all the protein-coding genes and most of the ontology-identified noncoding genes of the human genome, assigned to 19 phylostrata

AU - Litman, Thomas

AU - Stein, Wilfred D

N1 - Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

PY - 2019

Y1 - 2019

N2 - Following Liebeskind et al [1], we have attempted to find consensus ages for the protein-coding and the noncoding genes of the human genome, using publicly-available ortholog databases. For each database separately, we determined its age estimate for the genes it listed, determining this by identifying the earliest ortholog for the gene in question. We assigned these ages to 1 of the 19 major phylostrata defined by Domazet-Loso and Tautz [2], 2 of which were further subdivided. From these various estimates, we found the modal value if 1 was present, defining this as the consensus age for the gene. For the genes where no consensus value could be found, we recorded the median value of the age estimates across the databases interrogated. We present a resource that lists the age, as so defined, of every one of the 19,660 protein-coding genes and of 5,981 of the 16,528 non-protein-coding genes of the human genome, the age being the time when the gene was accreted to the evolving human genome. We calculate the number of genes that accreted to the genome, epoch by epoch, and consider the rate at which they accreted.

AB - Following Liebeskind et al [1], we have attempted to find consensus ages for the protein-coding and the noncoding genes of the human genome, using publicly-available ortholog databases. For each database separately, we determined its age estimate for the genes it listed, determining this by identifying the earliest ortholog for the gene in question. We assigned these ages to 1 of the 19 major phylostrata defined by Domazet-Loso and Tautz [2], 2 of which were further subdivided. From these various estimates, we found the modal value if 1 was present, defining this as the consensus age for the gene. For the genes where no consensus value could be found, we recorded the median value of the age estimates across the databases interrogated. We present a resource that lists the age, as so defined, of every one of the 19,660 protein-coding genes and of 5,981 of the 16,528 non-protein-coding genes of the human genome, the age being the time when the gene was accreted to the evolving human genome. We calculate the number of genes that accreted to the genome, epoch by epoch, and consider the rate at which they accreted.

KW - Computational Biology

KW - Databases, Genetic

KW - Evolution, Molecular

KW - Genome, Human/genetics

KW - Humans

KW - Open Reading Frames/genetics

KW - Sequence Homology

U2 - 10.1053/j.seminoncol.2018.11.002

DO - 10.1053/j.seminoncol.2018.11.002

M3 - Journal article

C2 - 30558821

VL - 46

SP - 3

EP - 9

JO - Seminars in Oncology

JF - Seminars in Oncology

SN - 0093-7754

IS - 1

ER -

ID: 222690014