An evolutionary approach reveals a high protein-coding capacity of the human genome

Anton Nekrutenko; Wen Yu Chung; Wen Hsiung Li

doi:10.1016/S0168-9525(03)00114-8

An evolutionary approach reveals a high protein-coding capacity of the human genome

Anton Nekrutenko, Wen Yu Chung, Wen Hsiung Li

Research output: Contribution to journal › Review article › peer-review

29 Scopus citations

Abstract

We developed a new evolutionary method for identifying exons from genomic sequences and found 19 000 potential coding exons that are absent from all existing annotations of the human genome. Of these, 13 700 satisfied very stringent criteria and can with confidence be considered as novel exons. Evidently, a large number of new human genes can be identified using evolutionary approaches.

Original language	English (US)
Pages (from-to)	306-310
Number of pages	5
Journal	Trends in Genetics
Volume	19
Issue number	6
DOIs	https://doi.org/10.1016/S0168-9525(03)00114-8
State	Published - Jun 1 2003

All Science Journal Classification (ASJC) codes

Genetics

Access to Document

10.1016/S0168-9525(03)00114-8

Cite this

@article{910804cf267b4d5aab2ee8c5c03c7467,

title = "An evolutionary approach reveals a high protein-coding capacity of the human genome",

abstract = "We developed a new evolutionary method for identifying exons from genomic sequences and found 19 000 potential coding exons that are absent from all existing annotations of the human genome. Of these, 13 700 satisfied very stringent criteria and can with confidence be considered as novel exons. Evidently, a large number of new human genes can be identified using evolutionary approaches.",

author = "Anton Nekrutenko and Chung, {Wen Yu} and Li, {Wen Hsiung}",

note = "Funding Information: The authors thank Kateryna Makova, Henrik Kaessmann, and the reviewers for suggestions, Simon Cawley for help with Affymetrix expression data, and Rick Stevens for granting access to the Argonne National Laboratory Linux cluster. This work was funded by NIH grants GM30998, GM65499, and HD3887 and Academia Sinica, Taiwan.",

year = "2003",

month = jun,

day = "1",

doi = "10.1016/S0168-9525(03)00114-8",

language = "English (US)",

volume = "19",

pages = "306--310",

journal = "Trends in Genetics",

issn = "0168-9525",

publisher = "Elsevier Ltd",

number = "6",

}

TY - JOUR

T1 - An evolutionary approach reveals a high protein-coding capacity of the human genome

AU - Nekrutenko, Anton

AU - Chung, Wen Yu

AU - Li, Wen Hsiung

N1 - Funding Information: The authors thank Kateryna Makova, Henrik Kaessmann, and the reviewers for suggestions, Simon Cawley for help with Affymetrix expression data, and Rick Stevens for granting access to the Argonne National Laboratory Linux cluster. This work was funded by NIH grants GM30998, GM65499, and HD3887 and Academia Sinica, Taiwan.

PY - 2003/6/1

Y1 - 2003/6/1

N2 - We developed a new evolutionary method for identifying exons from genomic sequences and found 19 000 potential coding exons that are absent from all existing annotations of the human genome. Of these, 13 700 satisfied very stringent criteria and can with confidence be considered as novel exons. Evidently, a large number of new human genes can be identified using evolutionary approaches.

AB - We developed a new evolutionary method for identifying exons from genomic sequences and found 19 000 potential coding exons that are absent from all existing annotations of the human genome. Of these, 13 700 satisfied very stringent criteria and can with confidence be considered as novel exons. Evidently, a large number of new human genes can be identified using evolutionary approaches.

UR - http://www.scopus.com/inward/record.url?scp=0037866728&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0037866728&partnerID=8YFLogxK

U2 - 10.1016/S0168-9525(03)00114-8

DO - 10.1016/S0168-9525(03)00114-8

M3 - Review article

C2 - 12801721

AN - SCOPUS:0037866728

SN - 0168-9525

VL - 19

SP - 306

EP - 310

JO - Trends in Genetics

JF - Trends in Genetics

IS - 6

ER -

An evolutionary approach reveals a high protein-coding capacity of the human genome

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this