Finding a common path: Predicting gene function using inferred evolutionary trees

Research output: Contribution to journalArticle

Abstract

Reporting in Cell, Li and colleagues (2014) describe an innovative method to functionally classify genes using evolutionary information. This approach demonstrates broad utility for eukaryotic gene annotation and suggests an intriguing new decomposition of pathways and complexes into evolutionarily conserved modules.

Original languageEnglish (US)
Pages (from-to)4-5
Number of pages2
JournalDevelopmental Cell
Volume30
Issue number1
DOIs
StatePublished - Jul 14 2014

Fingerprint

Molecular Sequence Annotation
Genes
Decomposition

ASJC Scopus subject areas

  • Developmental Biology

Cite this

Finding a common path : Predicting gene function using inferred evolutionary trees. / Reynolds, Kimberly A.

In: Developmental Cell, Vol. 30, No. 1, 14.07.2014, p. 4-5.

Research output: Contribution to journalArticle

@article{bbe8ffacbc8546aa9f733e475be977eb,
title = "Finding a common path: Predicting gene function using inferred evolutionary trees",
abstract = "Reporting in Cell, Li and colleagues (2014) describe an innovative method to functionally classify genes using evolutionary information. This approach demonstrates broad utility for eukaryotic gene annotation and suggests an intriguing new decomposition of pathways and complexes into evolutionarily conserved modules.",
author = "Reynolds, {Kimberly A.}",
year = "2014",
month = "7",
day = "14",
doi = "10.1016/j.devcel.2014.06.029",
language = "English (US)",
volume = "30",
pages = "4--5",
journal = "Developmental Cell",
issn = "1534-5807",
publisher = "Cell Press",
number = "1",

}

TY - JOUR

T1 - Finding a common path

T2 - Predicting gene function using inferred evolutionary trees

AU - Reynolds, Kimberly A.

PY - 2014/7/14

Y1 - 2014/7/14

N2 - Reporting in Cell, Li and colleagues (2014) describe an innovative method to functionally classify genes using evolutionary information. This approach demonstrates broad utility for eukaryotic gene annotation and suggests an intriguing new decomposition of pathways and complexes into evolutionarily conserved modules.

AB - Reporting in Cell, Li and colleagues (2014) describe an innovative method to functionally classify genes using evolutionary information. This approach demonstrates broad utility for eukaryotic gene annotation and suggests an intriguing new decomposition of pathways and complexes into evolutionarily conserved modules.

UR - http://www.scopus.com/inward/record.url?scp=84904268512&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84904268512&partnerID=8YFLogxK

U2 - 10.1016/j.devcel.2014.06.029

DO - 10.1016/j.devcel.2014.06.029

M3 - Article

C2 - 25026031

AN - SCOPUS:84904268512

VL - 30

SP - 4

EP - 5

JO - Developmental Cell

JF - Developmental Cell

SN - 1534-5807

IS - 1

ER -