Finding our way through phenotypes.
Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental co...
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2015-01-01
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Series: | PLoS Biology |
Online Access: | https://doi.org/10.1371/journal.pbio.1002033 |
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doaj-c6769cb8ebf0434ea3c4cd1a41ec45d22021-07-02T17:09:42ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852015-01-01131e100203310.1371/journal.pbio.1002033Finding our way through phenotypes.Andrew R DeansSuzanna E LewisEva HualaSalvatore S AnzaldoMichael AshburnerJames P BalhoffDavid C BlackburnJudith A BlakeJ Gordon BurleighBruno ChanetLaurel D CooperMélanie CourtotSándor CsöszHong CuiWasila DahdulSandip DasT Alexander DececchiAgnes DettaiRui DiogoRobert E DruzinskyMichel DumontierNico M FranzFrank FriedrichGeorge V GkoutosMelissa HaendelLuke J HarmonTerry F HayamizuYongqun HeHeather M HinesNizar IbrahimLaura M JacksonPankaj JaiswalChristina James-ZornSebastian KöhlerGuillaume LecointreHilmar LappCarolyn J LawrenceNicolas Le NovèreJohn G LundbergJames MacklinAustin R MastPeter E MidfordIstván MikóChristopher J MungallAnika OellrichDavid Osumi-SutherlandHelen ParkinsonMartín J RamírezStefan RichterPeter N RobinsonAlan RuttenbergKatja S SchulzErik SegerdellKatja C SeltmannMichael J SharkeyAaron D SmithBarry SmithChelsea D SpechtR Burke SquiresRobert W ThackerAnne ThessenJose Fernandez-TrianaMauno VihinenPeter D VizeLars VogtChristine E WallRamona L WallsMonte WesterfeldRobert A WhartonChristian S WirknerJames B WoolleyMatthew J YoderAaron M ZornPaula MabeeDespite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across many key fields in biology, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. Here we survey the current phenomics landscape, including data resources and handling, and the progress that has been made to accurately capture relevant data descriptions for phenotypes. We present an example of the kind of integration across domains that computable phenotypes would enable, and we call upon the broader biology community, publishers, and relevant funding agencies to support efforts to surmount today's data barriers and facilitate analytical reproducibility.https://doi.org/10.1371/journal.pbio.1002033 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andrew R Deans Suzanna E Lewis Eva Huala Salvatore S Anzaldo Michael Ashburner James P Balhoff David C Blackburn Judith A Blake J Gordon Burleigh Bruno Chanet Laurel D Cooper Mélanie Courtot Sándor Csösz Hong Cui Wasila Dahdul Sandip Das T Alexander Dececchi Agnes Dettai Rui Diogo Robert E Druzinsky Michel Dumontier Nico M Franz Frank Friedrich George V Gkoutos Melissa Haendel Luke J Harmon Terry F Hayamizu Yongqun He Heather M Hines Nizar Ibrahim Laura M Jackson Pankaj Jaiswal Christina James-Zorn Sebastian Köhler Guillaume Lecointre Hilmar Lapp Carolyn J Lawrence Nicolas Le Novère John G Lundberg James Macklin Austin R Mast Peter E Midford István Mikó Christopher J Mungall Anika Oellrich David Osumi-Sutherland Helen Parkinson Martín J Ramírez Stefan Richter Peter N Robinson Alan Ruttenberg Katja S Schulz Erik Segerdell Katja C Seltmann Michael J Sharkey Aaron D Smith Barry Smith Chelsea D Specht R Burke Squires Robert W Thacker Anne Thessen Jose Fernandez-Triana Mauno Vihinen Peter D Vize Lars Vogt Christine E Wall Ramona L Walls Monte Westerfeld Robert A Wharton Christian S Wirkner James B Woolley Matthew J Yoder Aaron M Zorn Paula Mabee |
spellingShingle |
Andrew R Deans Suzanna E Lewis Eva Huala Salvatore S Anzaldo Michael Ashburner James P Balhoff David C Blackburn Judith A Blake J Gordon Burleigh Bruno Chanet Laurel D Cooper Mélanie Courtot Sándor Csösz Hong Cui Wasila Dahdul Sandip Das T Alexander Dececchi Agnes Dettai Rui Diogo Robert E Druzinsky Michel Dumontier Nico M Franz Frank Friedrich George V Gkoutos Melissa Haendel Luke J Harmon Terry F Hayamizu Yongqun He Heather M Hines Nizar Ibrahim Laura M Jackson Pankaj Jaiswal Christina James-Zorn Sebastian Köhler Guillaume Lecointre Hilmar Lapp Carolyn J Lawrence Nicolas Le Novère John G Lundberg James Macklin Austin R Mast Peter E Midford István Mikó Christopher J Mungall Anika Oellrich David Osumi-Sutherland Helen Parkinson Martín J Ramírez Stefan Richter Peter N Robinson Alan Ruttenberg Katja S Schulz Erik Segerdell Katja C Seltmann Michael J Sharkey Aaron D Smith Barry Smith Chelsea D Specht R Burke Squires Robert W Thacker Anne Thessen Jose Fernandez-Triana Mauno Vihinen Peter D Vize Lars Vogt Christine E Wall Ramona L Walls Monte Westerfeld Robert A Wharton Christian S Wirkner James B Woolley Matthew J Yoder Aaron M Zorn Paula Mabee Finding our way through phenotypes. PLoS Biology |
author_facet |
Andrew R Deans Suzanna E Lewis Eva Huala Salvatore S Anzaldo Michael Ashburner James P Balhoff David C Blackburn Judith A Blake J Gordon Burleigh Bruno Chanet Laurel D Cooper Mélanie Courtot Sándor Csösz Hong Cui Wasila Dahdul Sandip Das T Alexander Dececchi Agnes Dettai Rui Diogo Robert E Druzinsky Michel Dumontier Nico M Franz Frank Friedrich George V Gkoutos Melissa Haendel Luke J Harmon Terry F Hayamizu Yongqun He Heather M Hines Nizar Ibrahim Laura M Jackson Pankaj Jaiswal Christina James-Zorn Sebastian Köhler Guillaume Lecointre Hilmar Lapp Carolyn J Lawrence Nicolas Le Novère John G Lundberg James Macklin Austin R Mast Peter E Midford István Mikó Christopher J Mungall Anika Oellrich David Osumi-Sutherland Helen Parkinson Martín J Ramírez Stefan Richter Peter N Robinson Alan Ruttenberg Katja S Schulz Erik Segerdell Katja C Seltmann Michael J Sharkey Aaron D Smith Barry Smith Chelsea D Specht R Burke Squires Robert W Thacker Anne Thessen Jose Fernandez-Triana Mauno Vihinen Peter D Vize Lars Vogt Christine E Wall Ramona L Walls Monte Westerfeld Robert A Wharton Christian S Wirkner James B Woolley Matthew J Yoder Aaron M Zorn Paula Mabee |
author_sort |
Andrew R Deans |
title |
Finding our way through phenotypes. |
title_short |
Finding our way through phenotypes. |
title_full |
Finding our way through phenotypes. |
title_fullStr |
Finding our way through phenotypes. |
title_full_unstemmed |
Finding our way through phenotypes. |
title_sort |
finding our way through phenotypes. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS Biology |
issn |
1544-9173 1545-7885 |
publishDate |
2015-01-01 |
description |
Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across many key fields in biology, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. Here we survey the current phenomics landscape, including data resources and handling, and the progress that has been made to accurately capture relevant data descriptions for phenotypes. We present an example of the kind of integration across domains that computable phenotypes would enable, and we call upon the broader biology community, publishers, and relevant funding agencies to support efforts to surmount today's data barriers and facilitate analytical reproducibility. |
url |
https://doi.org/10.1371/journal.pbio.1002033 |
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