Ana Conesa

发表

Blast2GO: A Universal Annotation and Visualization Tool for Functional Genomics Research

Juan Miguel García-Gómez, Montserrat Robles, Ana Conesa, 2004, Spanish Bioinformatics Conference.

Blast2GO goes Grid: Developing a Grid-Enabled Prototype for Functional Genomics Analysis

Ignacio Blanquer, Stefan Götz, Montserrat Robles, 2006, HealthGrid.

The STATegra project: new statistical tools for analysis and integration of diverse omics data

Ana Conesa, 2014 .

MOSim: bulk and single-cell multi-layer regulatory network simulator

Ana Conesa, Sonia Tarazona, Carlos Martínez-Mira, 2018, bioRxiv.

STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse

Johan A Westerhuis, Francesco Marabita, David Gomez-Cabrero, 2019, Scientific Data.

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

Ana Conesa, Alberto Ferrer, Maria J Nueda, 2012, Biostatistics.

Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA

Age K. Smilde, Ana Conesa, Huub C. J. Hoefsloot, 2007, Bioinform..

Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data

Ana Conesa, Fernando García-Alcalde, Konstantin Okonechnikov, 2015, Bioinform..

A multiway approach to data integration in systems biology based on Tucker3 and N-PLS

Ana Conesa, Alberto Ferrer, José Manuel Prats-Montalbán, 2010 .

GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text

Xiaolin Li, Ana Conesa, Qile Zhu, 2017, Bioinform..

Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling

Joaquín Dopazo, Ignacio Medina, Stefan Götz, 2010, Nucleic Acids Res..

The Stategra Initiative Develops Novel Methodologies for the Integrative Analysis of Multiple Types of NGS & Omics Data

Ana Conesa, 2015 .

The common ground of genomics and systems biology

Ana Conesa, Ali Mortazavi, A. Conesa, 2014, BMC Systems Biology.

Paintomics: a web based tool for the joint visualization of transcriptomics and metabolomics data

Joaquín Dopazo, Ana Conesa, Fernando García-Alcalde, 2010, Bioinform..

Making sense of big data in health research: Towards an EU action plan

Magnus Rattray, Thomas Lengauer, Haralampos Karanikas, 2016, Genome Medicine.

Separating common from distinctive variation

Age K. Smilde, Ana Conesa, Johan A. Westerhuis, 2016, BMC Bioinformatics.

The STATegra NGS Experiment Management System

Ana Conesa, 2015 .

Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self-Organizing Maps

Jesper Tegnér, Ana Conesa, Camden Jansen, 2018, bioRxiv.

Identification of miRNA from Bouteloua gracilis, a drought tolerant grass, by deep sequencing and their in silico analysis

Ana Conesa, Perla Lucía Ordóñez-Baquera, Everardo González-Rodríguez, 2017, Comput. Biol. Chem..

STATegra EMS: an Experiment Management System for complex next-generation omics experiments

Jesper Tegnér, David Gomez-Cabrero, Ana Conesa, 2014, BMC Systems Biology.

STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse

David Gomez-Cabrero, Ana Conesa, Ioannis Tsamardinos, 2019, Scientific Data.

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

Elmer Andrés Fernández, Gabriela Alejandra Merino, Ana Conesa, 2017, bioRxiv.

Functional assessment of time course microarray data

Joaquín Dopazo, Ana Conesa, Alberto Ferrer, 2009, BMC Bioinformatics.

Understanding disease mechanisms with models of signaling pathway activities

Joaquín Dopazo, Francisco Salavert, David Montaner, 2014, BMC Systems Biology.

Harmonization of quality metrics and power calculation in multi-omic studies

Ana Conesa, Jesper Tegnér, Johan A. Westerhuis, 2020, Nature Communications.

Additional file 1: of RGmatch: matching genomic regions to proximal genes in omics data integration

Ana Conesa, Sonia Tarazona, Pedro Furió-Tarí, 2016 .

GEPAS, a web-based tool for microarray data analysis and interpretation

Joaquín Dopazo, Ignacio Medina, Stefan Götz, 2008, Nucleic Acids Res..

Serial Expression Analysis: a web tool for the analysis of serial gene expression data

Joaquín Dopazo, Ignacio Medina, Ana Conesa, 2010, Nucleic Acids Res..

Identification and visualisation of differential isoform expression in RNA-seq time series

Ana Conesa, Sonia Tarazona, María José Nueda, 2017, bioRxiv.

The eBioKit, a stand-alone educational platform for bioinformatics

Ana Conesa, Tomas Klingström, Erik Bongcam-Rudloff, 2017, PLoS Comput. Biol..

Data integration in the era of omics: current and future challenges

David Gomez-Cabrero, Andrew E. Teschendorff, Ana Conesa, 2014, BMC Systems Biology.

Chemometrics and Intelligent Laboratory Systems

Joaquín Dopazo, Alberto Ferrer, Ana Conesa, 2011 .

Combining maSigPro and ASCA procedures to enhance analysis in Time-Course Microarray experiments

Ana Conesa, Huub C. J. Hoefsloot, Johan A. Westerhuis, 2007 .

BIOINFORMATICS APPLICATIONS NOTE Sequence analysis Manipulation of FASTQ data with Galaxy

Juan Miguel García-Gómez, Montserrat Robles, Ana Conesa, 2005 .

RGmatch: matching genomic regions to proximal genes in omics data integration

Ana Conesa, Pedro Furió-Tarí, Sonia Tarazona, 2016, BMC Bioinformatics.

Visual Gene Ontology Based Knowledge Discovery in Functional Genomics

Stefan Götz, Ana Conesa, A. Conesa, 2011 .

Multiomics Data Integration in Time Series Experiments

Ana Conesa, Sonia Tarazona, Leandro Balzano-Nogueira, 2018 .

Identification and visualization of differential isoform expression in RNA-seq time series

Ana Conesa, Sonia Tarazona, María José Nueda, 2017, Bioinform..

Pathway network inference from gene expression data

Joaquín Dopazo, Stefan Götz, Ignacio Ponzoni, 2014, BMC Systems Biology.

Microarray technology in agricultural research

José Gadea, Ana Conesa, Javier Forment, 2007 .

COST Action BM 1006 (SeqAhead): MC BUSINESS MEETING AND SCIENTIFIC MEETING

Eija Korpelainen, Veli Mäkinen, Thomas Svensson, 2012 .

Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics

Stefan Götz, Ana Conesa, A. Conesa, 2007, International journal of plant genomics.

Omics Data Integration in Systems Biology: Methods and Applications

Ana Conesa, Rafael Hernández, A. Conesa, 2014 .

SIMAP—a comprehensive database of pre-calculated protein sequence similarities, domains, annotations and clusters

Stefan Götz, Thomas Rattei, Roland Arnold, 2009, Nucleic Acids Res..

Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series

Ana Conesa, María José Nueda, Sonia Tarazona, 2014, Bioinform..

Genome analysis Advance Access publication February 18, 2011 B2G-FAR, a species-centered GO annotation repository

Joaquín Dopazo, Thomas Rattei, Ana Conesa, 2022 .

Babelomics: advanced functional profiling of transcriptomics, proteomics and genomics experiments

Joaquín Dopazo, Ignacio Medina, Stefan Götz, 2008, Nucleic Acids Res..

Guidelines for Developing Successful Short Advanced Courses in Systems Medicine and Systems Biology.

Jesper Tegnér, Francesco Marabita, David Gomez-Cabrero, 2017, Cell systems.

maSigPro: a Method to Identify Significantly Differential Expression Profiles in Time-Course Microarray Experiments

Ana Conesa, Manuel Talón, Alberto Ferrer, 2006, Spanish Bioinformatics Conference.

‘Next NGS Challenge – Data Processing and Integration’ Conference – Conference report.

Ana Conesa, Erik Bongcam-Rudloff, 2013 .

Undisclosed, unmet and neglected challenges in multi-omics studies

Ana Conesa, Sonia Tarazona, Angeles Arzalluz-Luque, 2021, Nature Computational Science.

Erratum to: A survey of best practices for RNA-seq data analysis

David Gomez-Cabrero, Laura L. Elo, Ana Conesa, 2016, Genome Biology.

Next-masigpro: Dealing with RNA-seq time series

Ana Conesa, María José Nueda, 2013 .

NOIseq: a RNA-seq differential expression method robust for sequencing depth biases

Joaquín Dopazo, Ana Conesa, Sonia Tarazona, 2012 .

Relationship between genome and epigenome - challenges and requirements for future research

Magnus Rattray, Xavier Estivill, Ana Conesa, 2014, BMC Genomics.

Dynamic Gene Regulatory Networks of Human Myeloid Differentiation.

Ana Conesa, Ricardo N Ramirez, Ali Mortazavi, 2017, Cell systems.

Erratum to: Making sense of big data in health research: towards an EU action plan

Magnus Rattray, Thomas Lengauer, Haralampos Karanikas, 2016, Genome Medicine.

Filamentous fungi as cell factories for heterologous protein production.

Ana Conesa, A. Conesa, P. Punt, 2002, Trends in biotechnology.

Large-scale transcriptional profiling and functional assays reveal important roles for Rho-GTPase signalling and SCL during haematopoietic differentiation of human embryonic stem cells.

Joaquín Dopazo, David Montaner, Ana Conesa, 2011, Human molecular genetics.

Single-cell RNAseq for the study of isoforms—how is that possible?

Ana Conesa, A. Conesa, Angeles Arzalluz-Luque, 2018, Genome Biology.

Development of the GENIPOL European flounder (Platichthys flesus) microarray and determination of temporal transcriptional responses to cadmium at low dose.

Ana Conesa, Amer M. Diab, Tim D Williams, 2006, Environmental science & technology.

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

Ana Conesa, Sonia Tarazona, Pedro Furió-Tarí, 2018 .

Sequence analysis Blast 2 GO : a universal tool for annotation , visualization and analysis in functional genomics research

Juan Miguel García-Gómez, Montserrat Robles, Ana Conesa, 2005 .

SQANTI: extensive characterization of long-read transcript sequences for quality control in full-length transcriptome identification and quantification

Lennart Martens, Ana Conesa, Manuel Tardaguila, 2017, bioRxiv.

1 SQANTI : extensive characterization of long read transcript sequences for quality control in 1 full-length transcriptome identification and quantification 2 3

Lennart Martens, Ana Conesa, Manuel Tardaguila, 2017 .

Feedforward regulation of Myc coordinates lineage-specific with housekeeping gene expression during B cell progenitor cell differentiation

David Gomez-Cabrero, Boris Lenhard, Ya Guo, 2019, PLoS biology.

Transcriptional response of Citrus aurantifolia to infection by Citrus tristeza virus.

José Gadea, Ana Conesa, Pedro Moreno, 2007, Virology.