检索结果 - Ana Conesa

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  1. 1
    Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics

    Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics 由 Ana Conesa, Stefan Götz

    出版 2008
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  2. 2
    Making multi-omics data accessible to researchers

    Making multi-omics data accessible to researchers 由 Ana Conesa, Stephan Beck

    出版 2019
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  3. 3
    Single-cell RNAseq for the study of isoforms—how is that possible?

    Single-cell RNAseq for the study of isoforms—how is that possible? 由 Ángeles Arzalluz-Luque, Ana Conesa

    出版 2018
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  4. 4
    A benchmarking of workflows for detecting differential splicing and differential expression at isoform level in human RNA-seq studies

    A benchmarking of workflows for detecting differential splicing and differential expression at isoform level in human RNA-seq studies 由 Gabriela Merino, Ana Conesa, Elmer Fernández

    出版 2017
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  5. 5
    Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data

    Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data 由 Konstantin Okonechnikov, Ana Conesa, Fernando García-Alcalde

    出版 2015
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  6. 6
    ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments

    ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments 由 María José Nueda, Alberto Ferrer, Ana Conesa

    出版 2011
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  7. 7
    Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series

    Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series 由 María José Nueda, Sonia Tarazona, Ana Conesa

    出版 2014
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  8. 8
    Undisclosed, unmet and neglected challenges in multi-omics studies

    Undisclosed, unmet and neglected challenges in multi-omics studies 由 Sonia Tarazona, Ángeles Arzalluz-Luque, Ana Conesa

    出版 2021
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  9. 9
    maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments

    maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments 由 Ana Conesa, María José Nueda, Alberto Ferrer, Manuel Talón

    出版 2006
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  10. 10
    NOIseq: a RNA-seq differential expression method robust for sequencing depth biases

    NOIseq: a RNA-seq differential expression method robust for sequencing depth biases 由 Sonia Tarazona, Fernando Garcı́a, Alberto Ferrer, Joaquı́n Dopazo, Ana Conesa

    出版 2012
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  11. 11
    Paintomics: a web based tool for the joint visualization of transcriptomics and metabolomics data

    Paintomics: a web based tool for the joint visualization of transcriptomics and metabolomics data 由 Fernando García-Alcalde, Federico García-López, Joaquı́n Dopazo, Ana Conesa

    出版 2010
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  12. 12
    Differential expression in RNA-seq: A matter of depth

    Differential expression in RNA-seq: A matter of depth 由 Sonia Tarazona, Fernando García-Alcalde, Joaquı́n Dopazo, Alberto Ferrer, Ana Conesa

    出版 2011
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  13. 13
    spongeScan: A web for detecting microRNA binding elements in lncRNA sequences

    spongeScan: A web for detecting microRNA binding elements in lncRNA sequences 由 Pedro Furió‐Tarí, Sonia Tarazona, Toni Gabaldón, Anton J. Enright, Ana Conesa

    出版 2016
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  14. 14
    Dynamic Gene Regulatory Networks of Human Myeloid Differentiation

    Dynamic Gene Regulatory Networks of Human Myeloid Differentiation 由 Ricardo N. Ramírez, Nicole El-Ali, Mikayla Anne Mager, Dana Wyman, Ana Conesa, A Mortazavi

    出版 2017
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  15. 15
    Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package

    Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package 由 Sonia Tarazona, Pedro Furió‐Tarí, David Turrà, Antonio Di Pietro, María José Nueda, Alberto Ferrer, Ana Conesa

    出版 2015
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  16. 16
    Discovering gene expression patterns in time course microarray experiments by ANOVA–SCA

    Discovering gene expression patterns in time course microarray experiments by ANOVA–SCA 由 María José Nueda, Ana Conesa, Johan A. Westerhuis, Huub C. J. Hoefsloot, Age K. Smilde, Manuel Talón, Alberto Ferrer

    出版 2007
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  17. 17
    PaintOmics 3: a web resource for the pathway analysis and visualization of multi-omics data

    PaintOmics 3: a web resource for the pathway analysis and visualization of multi-omics data 由 Rafael Hernández-de-Diego, Sonia Tarazona, Carlos Martínez-Mira, Leandro Balzano‐Nogueira, Pedro Furió‐Tarí, Γεώργιος Παππάς, Ana Conesa

    出版 2018
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  18. 18
    PaintOmics 3: a web resource for the pathway analysis and visualization of multi-omics data

    PaintOmics 3: a web resource for the pathway analysis and visualization of multi-omics data 由 Rafael Hernández-de-Diego, Sonia Tarazona, Carlos Martínez-Mira, Leandro Balzano‐Nogueira, Pedro Furió‐Tarí, Γεώργιος Παππάς, Ana Conesa

    出版 2018
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  19. 19
    Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps

    Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps 由 Camden Jansen, Ricardo N. Ramírez, Nicole El-Ali, David Gómez-Cabrero, Jesper Tegnér, Matthias Merkenschlager, Ana Conesa, A Mortazavi

    出版 2019
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  20. 20
    Initial Genomics of the Human Nucleolus

    Initial Genomics of the Human Nucleolus 由 Attila Németh, Ana Conesa, Javier Santoyo‐López, Ignacio Medina, David Montaner, Bálint Péterfia, Irina Solovei, Thomas Cremer, Joaquı́n Dopazo, Gernot Längst

    出版 2010
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