BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

238 related articles for article (PubMed ID: 32171029)

  • 1. Enabling reusability of plant phenomic datasets with MIAPPE 1.1.
    Papoutsoglou EA; Faria D; Arend D; Arnaud E; Athanasiadis IN; Chaves I; Coppens F; Cornut G; Costa BV; Ćwiek-Kupczyńska H; Droesbeke B; Finkers R; Gruden K; Junker A; King GJ; Krajewski P; Lange M; Laporte MA; Michotey C; Oppermann M; Ostler R; Poorter H; Ramı Rez-Gonzalez R; Ramšak Ž; Reif JC; Rocca-Serra P; Sansone SA; Scholz U; Tardieu F; Uauy C; Usadel B; Visser RGF; Weise S; Kersey PJ; Miguel CM; Adam-Blondon AF; Pommier C
    New Phytol; 2020 Jul; 227(1):260-273. PubMed ID: 32171029
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The benefits and struggles of FAIR data: the case of reusing plant phenotyping data.
    Papoutsoglou EA; Athanasiadis IN; Visser RGF; Finkers R
    Sci Data; 2023 Jul; 10(1):457. PubMed ID: 37443110
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS.
    Pommier C; Michotey C; Cornut G; Roumet P; Duchêne E; Flores R; Lebreton A; Alaux M; Durand S; Kimmel E; Letellier T; Merceron G; Laine M; Guerche C; Loaec M; Steinbach D; Laporte MA; Arnaud E; Quesneville H; Adam-Blondon AF
    Plant Phenomics; 2019; 2019():1671403. PubMed ID: 33313522
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computational aspects underlying genome to phenome analysis in plants.
    Bolger AM; Poorter H; Dumschott K; Bolger ME; Arend D; Osorio S; Gundlach H; Mayer KFX; Lange M; Scholz U; Usadel B
    Plant J; 2019 Jan; 97(1):182-198. PubMed ID: 30500991
    [TBL] [Abstract][Full Text] [Related]  

  • 5. PGP repository: a plant phenomics and genomics data publication infrastructure.
    Arend D; Junker A; Scholz U; Schüler D; Wylie J; Lange M
    Database (Oxford); 2016; 2016():. PubMed ID: 27087305
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Traceable Research Data Sharing in a German Medical Data Integration Center With FAIR (Findability, Accessibility, Interoperability, and Reusability)-Geared Provenance Implementation: Proof-of-Concept Study.
    Gierend K; Waltemath D; Ganslandt T; Siegel F
    JMIR Form Res; 2023 Dec; 7():e50027. PubMed ID: 38060305
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System.
    Neveu P; Tireau A; Hilgert N; Nègre V; Mineau-Cesari J; Brichet N; Chapuis R; Sanchez I; Pommier C; Charnomordic B; Tardieu F; Cabrera-Bosquet L
    New Phytol; 2019 Jan; 221(1):588-601. PubMed ID: 30152011
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Converging phenomics and genomics to study natural variation in plant photosynthetic efficiency.
    van Bezouw RFHM; Keurentjes JJB; Harbinson J; Aarts MGM
    Plant J; 2019 Jan; 97(1):112-133. PubMed ID: 30548574
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Developing a standardized but extendable framework to increase the findability of infectious disease datasets.
    Tsueng G; Cano MAA; Bento J; Czech C; Kang M; Pache L; Rasmussen LV; Savidge TC; Starren J; Wu Q; Xin J; Yeaman MR; Zhou X; Su AI; Wu C; Brown L; Shabman RS; Hughes LD;
    Sci Data; 2023 Feb; 10(1):99. PubMed ID: 36823157
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Challenges for a Massive Implementation of Phenomics in Plant Breeding Programs.
    Lobos GA; Estrada F; Del Pozo A; Romero-Bravo S; Astudillo CA; Mora-Poblete F
    Methods Mol Biol; 2022; 2539():135-157. PubMed ID: 35895202
    [TBL] [Abstract][Full Text] [Related]  

  • 11. From data to knowledge - big data needs stewardship, a plant phenomics perspective.
    Arend D; Psaroudakis D; Memon JA; Rey-Mazón E; Schüler D; Szymanski JJ; Scholz U; Junker A; Lange M
    Plant J; 2022 Jul; 111(2):335-347. PubMed ID: 35535481
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Modern phenomics to empower holistic crop science, agronomy, and breeding research.
    Jiang N; Zhu XG
    J Genet Genomics; 2024 May; ():. PubMed ID: 38734136
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users.
    Honerlaw J; Ho YL; Fontin F; Murray M; Galloway A; Heise D; Connatser K; Davies L; Gosian J; Maripuri M; Russo J; Sangar R; Tanukonda V; Zielinski E; Dubreuil M; Zimolzak AJ; Panickan VA; Cheng SC; Whitbourne SB; Gagnon DR; Cai T; Liao KP; Ramoni RB; Gaziano JM; Muralidhar S; Cho K
    J Am Med Inform Assoc; 2024 Apr; 31(5):1126-1134. PubMed ID: 38481028
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Developing data interoperability using standards: A wheat community use case.
    Dzale Yeumo E; Alaux M; Arnaud E; Aubin S; Baumann U; Buche P; Cooper L; Ćwiek-Kupczyńska H; Davey RP; Fulss RA; Jonquet C; Laporte MA; Larmande P; Pommier C; Protonotarios V; Reverte C; Shrestha R; Subirats I; Venkatesan A; Whan A; Quesneville H
    F1000Res; 2017; 6():1843. PubMed ID: 29333241
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Phenomic data-driven biological prediction of maize through field-based high-throughput phenotyping integration with genomic data.
    Adak A; Kang M; Anderson SL; Murray SC; Jarquin D; Wong RKW; Katzfuß M
    J Exp Bot; 2023 Sep; 74(17):5307-5326. PubMed ID: 37279568
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase.
    Honerlaw J; Ho YL; Fontin F; Gosian J; Maripuri M; Murray M; Sangar R; Galloway A; Zimolzak AJ; Whitbourne SB; Casas JP; Ramoni RB; Gagnon DR; Cai T; Liao KP; Gaziano JM; Muralidhar S; Cho K
    J Am Med Inform Assoc; 2023 Apr; 30(5):958-964. PubMed ID: 36882092
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Review: Application of Artificial Intelligence in Phenomics.
    Nabwire S; Suh HK; Kim MS; Baek I; Cho BK
    Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34202291
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Towards recommendations for metadata and data handling in plant phenotyping.
    Krajewski P; Chen D; Ćwiek H; van Dijk AD; Fiorani F; Kersey P; Klukas C; Lange M; Markiewicz A; Nap JP; van Oeveren J; Pommier C; Scholz U; van Schriek M; Usadel B; Weise S
    J Exp Bot; 2015 Sep; 66(18):5417-27. PubMed ID: 26044092
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Plant phenomics: High-throughput technology for accelerating genomics.
    Pasala R; Pandey BB
    J Biosci; 2020; 45():. PubMed ID: 32975238
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Measures for interoperability of phenotypic data: minimum information requirements and formatting.
    Ćwiek-Kupczyńska H; Altmann T; Arend D; Arnaud E; Chen D; Cornut G; Fiorani F; Frohmberg W; Junker A; Klukas C; Lange M; Mazurek C; Nafissi A; Neveu P; van Oeveren J; Pommier C; Poorter H; Rocca-Serra P; Sansone SA; Scholz U; van Schriek M; Seren Ü; Usadel B; Weise S; Kersey P; Krajewski P
    Plant Methods; 2016; 12():44. PubMed ID: 27843484
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.