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=====Otras herramientas web =====

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====1. Visualización y preprocesamiento de datos====
  *[[http://heatmapper.ca|heatmapper]]. Proporciona estupendos heatmaps directos a la publicación o el informe ;)
  *[[http://shiny.chemgrid.org/boxplotr/|boxplotr]].  A web-tool for generation of box plots
  *[[https://pathview.uncc.edu|Pathview]]. Visualization of differential expression analysis of RNA-seq data on top of KEGG pathway diagrams. 
  *[[https://biit.cs.ut.ee/clustvis/ClustVis]. A web tool for visualizing clustering of multivariate data: heatmaps, PCAplots, data preprocessing.
  *[[https://www.catalystconsulting.co.uk/scatterplot-tool|ScatterPlot|]]
  *[[https://www.datawrapper.de/|Datawrapper]]. Charts, maps, and tables. 


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====2. Análisis de datos transcriptómicos====
**2.1. En el contexto de rutas de señalización o rutas metabólicas**:
  * [[http://hipathia.babelomics.org/|hiPathia]]. Web tool for the interpretation of the consequences of the  changes of gene expression levels  in the context of signalling pathways.
  * [[http://metabolizer.babelomics.org/|Metabolizer]]. Web tool for analysis of modular architecture of metabolic pathways using transcriptomic data.

**2.2. Splicing alternativo**:
  ***[[http://wangcomputing.com/assp/|Alternative Splice Site Predictor (ASSP)]]**. ASSP predicts putative alternative exon isoform, cryptic, and constitutive splice sites of internal (coding) exons. Skipped splice sites are not differentiated from constitutive sites. Non-canonical splice sites are not detected. Alternative splicing is predicted based on the DNA/RNA sequence information only.

**2.3. Visualización y análisis completo de datos de expresión, directamente seleccionados del repositorio públicos Gene Expression Omnibus**:
  *[[https://tau.cmmt.ubc.ca/eVITTA/|eVITTA]]. Visualización, expresión diferencial y caracterización de datos de expresión

**2.4. Deconvoluting expression data to measure cell populations**:
  ***[[https://cibersortx.stanford.edu/|CIBERSORTX]]**. CIBERSORTx is an analytical tool  to impute gene expression profiles and provide an estimation of the abundances of member cell types in a mixed cell population, using gene expression data.
  ***[[https://fgcz-shiny.uzh.ch/tnb_ethz_BATLAS_app/|BATLAS]]**. The BATLAS webtool uses a deconvolution algorithm to estimate the percentage of brown adipocytes in human or mouse tissue using RNA-seq data (Perdikari et al , 2018, Cell Reports).
  ***[[https://webtools.mcdb.ucla.edu/|GEDIT]]**. Gene Expression Deconvolution Interactive Tool (GEDIT)


**2.5. Análisis de datos transcriptómicos de célula única**:
  *[[https://asap.epfl.ch/|ASAP]]. A collaborative portal to analyze single-cell transcriptomics data
  *[[https://bioinfo.cipf.es/cbl-atlas-pd/|Atlas scRNA-seq Parkinson's Disease]]
  *[[https://bioinfo.cipf.es/cbl-atlas-ms/|Atlas scRNA-seq Multiple Sclerosis]]
  *[[https://bioinfo.cipf.es/cbl-atlas-ad|Atlas scRNA-seq Alzheimer's Disease]]



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====3. Integración multiómica====
  * [[http://gencomp.bio.unipd.it/magia/start/|Magia]]. MiRNA And Genes Integrated Analysis web tool
  *[[http://paintomics.org/|Paintomics]]. Integra y visualiza diferentes resultados de ómicas 


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====4. Caracterización funcional de estudios de microRNAs====
  *[[http://diana.imis.athena-innovation.gr/DianaTools/index.php?r=site/page&view=software|DIANA tools]]
  *[[https://pathmir.imib.es]]


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====5. Conversores de identificadores de genes====
  *[[https://www.syngoportal.org/convert|SYNGO]]


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