Computational biology, Gene expression profiling, Genomics, Genetics and RNA-Seq are her primary areas of study. Her work in Computational biology addresses subjects such as KEGG, which are connected to disciplines such as TRANSFAC, Cluster analysis and Proteomics. Her Gene expression profiling research incorporates elements of Deep sequencing, Microarray, DNA microarray, Feature selection and Time course.
Her studies in Genomics integrate themes in fields like Annotation, Visualization and Blast2GO. The Visualization study combines topics in areas such as UniGene and Sequence analysis. Her Blast2GO research is multidisciplinary, incorporating perspectives in Computer graphics, De novo transcriptome assembly, World Wide Web, Directed acyclic graph and InterProScan.
Ana Conesa mainly investigates Computational biology, Gene, Genetics, Gene expression and Transcriptome. Her work deals with themes such as RNA-Seq, Gene expression profiling, Alternative splicing, Gene isoform and Genomics, which intersect with Computational biology. Her primary area of study in Genomics is in the field of Functional genomics.
Ana Conesa has included themes like Annotation and Visualization in her Functional genomics study. Her Visualization study integrates concerns from other disciplines, such as Data science and Blast2GO. Ana Conesa interconnects Data mining, Function and Virology in the investigation of issues within Gene.
Ana Conesa spends much of her time researching Computational biology, Gene, Gene expression, Multi omics and Gene isoform. Her Computational biology study combines topics from a wide range of disciplines, such as RNA-Seq, Annotation, Metabolomics, Genomics and Chromatin. Her studies deal with areas such as Identification and Gene expression profiling as well as RNA-Seq.
Her Annotation research is multidisciplinary, incorporating elements of Human genetics and Identification. Her Genomics study incorporates themes from Information retrieval, Knowledge extraction and Molecular pathway. Her Regulation of gene expression study integrates concerns from other disciplines, such as Genome and Cellular differentiation.
Her primary areas of study are Computational biology, Cellular differentiation, Data integration, RNA splicing and Data type. The various areas that she examines in her Computational biology study include RNA-Seq and Alternative splicing. Her RNA-Seq research incorporates themes from Proteomics, Identification, Metabolomics and Genomics.
Ana Conesa works mostly in the field of Cellular differentiation, limiting it down to topics relating to Regulation of gene expression and, in certain cases, Progenitor cell, Transcription factor, Developmental biology, Housekeeping gene and Cell biology. The subject of her Data integration research is within the realm of Data mining. Her studies in RNA splicing integrate themes in fields like Annotation, Human genetics and Identification.
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Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research
Ana Conesa;Stefan Götz;Juan Miguel García-Gómez;Javier Terol.
High-throughput functional annotation and data mining with the Blast2GO suite.
Stefan Götz;Juan Miguel García-Gómez;Javier Terol;Tim D. Williams.
Nucleic Acids Research (2008)
A survey of best practices for RNA-seq data analysis
Ana Conesa;Pedro Madrigal;Pedro Madrigal;Sonia Tarazona;David Gomez-Cabrero.
Genome Biology (2016)
Blast2GO: A comprehensive suite for functional analysis in plant genomics.
Ana Conesa;Stefan Götz.
International Journal of Plant Genomics (2008)
Differential expression in RNA-seq: A matter of depth
Sonia Tarazona;Fernando García-Alcalde;Joaquín Dopazo;Alberto Ferrer.
Genome Research (2011)
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg.
Nature Biotechnology (2014)
Qualimap: evaluating next generation sequencing alignment data
Fernando García-Alcalde;Konstantin Okonechnikov;José Carbonell;Luis M. Cruz.
Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data
Konstantin Okonechnikov;Ana Conesa;Fernando García-Alcalde.
Filamentous fungi as cell factories for heterologous protein production
Peter J Punt;Nick van Biezen;Ana Conesa;Alwin Albers.
Trends in Biotechnology (2002)
Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package
Sonia Tarazona;Pedro Furió-Tarí;David Turrà;Antonio Di Pietro.
Nucleic Acids Research (2015)
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