Author

Eduardo 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 Marina Manrique· 4 shared Pablo Pareja-Tobes· 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

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4 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 9, 2016

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

Marina Manrique, Eduardo Pareja-Tobes, Eduardo Pareja…·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.

DOI 10.1101/039107

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 28, 2015

MG7: Configurable and scalable 16S metagenomics data analysis

Alexey Alekhin, Evdokim Kovach, Marina Manrique…·Eduardo Pareja-Tobes

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

DOI 10.1101/027714

metagenomicsdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 17, 2015

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

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

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

DOI 10.1101/021063

deep learningstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 20, 2015

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

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

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

DOI 10.1101/016758

experimental assaydatabase / resource

𝕏 PostBluesky