Author

Pablo Pareja-Tobes

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 4

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 3 Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:software / tool· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Eduardo Pareja· 4 shared Eduardo Pareja-Tobes· 4 shared Marina Manrique· 4 shared Raquel Tobes· 4 shared Alexey Alekhin· 1 shared Evdokim Kovach· 1 shared

Activity by Year

2015-2016 · peak 3/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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4 shared papersBioinformatics

Eduardo Pareja

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Bacterial sequences detected in 99 out of 99 serum samples from Ebola patients

Marina Manrique, Eduardo Pareja-Tobes, Eduardo Pareja, Pablo Pareja-Tobes, Raquel Tobes

The paper identifies bacterial sequences in all 99 serum samples from Ebola patients using RNA-Seq data, suggesting potential bacterial involvement in EBOV pathogenesis.

bioRxiv · Feb 9, 2016 · PreprintBioinformatics

MG7: Configurable and scalable 16S metagenomics data analysis

Alexey Alekhin, Evdokim Kovach, Marina Manrique, Pablo Pareja-Tobes, Eduardo Pareja, Raquel Tobes, Eduardo Pareja-Tobes

MG7 is a scalable 16S metagenomics analysis system designed for reproducibility, configurability, and cloud-based workflows.

bioRxiv · Sep 28, 2015 · PreprintBioinformatics

Biographika: rich interactive data visualizations on the web for the research community

Pablo Pareja-Tobes, Eduardo Pareja-Tobes, Marina Manrique, Eduardo Pareja, Raquel Tobes

Biographika provides interactive web-based data visualizations for researchers, combining D3.js and X3DOM to enable rich, multidimensional data analysis.

bioRxiv · Jun 17, 2015 · PreprintBioinformatics

Bio4j: a high-performance cloud-enabled graph-based data platform

Pablo Pareja-Tobes, Raquel Tobes, Marina Manrique, Eduardo Pareja, Eduardo Pareja-Tobes

Bio4j integrates semantically rich biological data into a graph-based platform for efficient querying and cloud deployment.

bioRxiv · Mar 20, 2015 · PreprintBioinformatics