Author
Philip D. Blood
Pittsburgh Supercomputing CenterORCID 0000-0002-9129-1223Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2017-2026 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 41 mutual co-author links7 papers
Recent·Most cited
- Scientific Communication & EducationbioRxivPreprint
The Common Fund Data Ecosystem (CFDE)
Julie A. Jurgens, Andreas Bueckle, Jeet Kiran Vora…·Casey S. Greene
The paper describes the Common Fund Data Ecosystem (CFDE), which integrates NIH Common Fund data resources to enable discovery, analysis, and collaboration across heterogeneous datasets.
1 citation - BioinformaticsNature MethodsPeer-reviewed
Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas Construction and Usage
Katy Börner, Philip D. Blood, Jonathan C. Silverstein…·Vilas Menon
This paper describes the construction and usage of the Human Reference Atlas (HRA) v2.0, which integrates multiscale data across 36 organs and provides tools for analysis and visualization.
51 citationstop 1% - BioinformaticsbioRxivPreprint
Playbook Workflow Builder: Interactive Construction of Bioinformatics Workflows from a Network of Microservices
Daniel J. B. Clarke, John Erol Evangelista, Zhuorui Xie…·Avi Ma’ayan
The paper introduces a web-based platform for building bioinformatics workflows using APIs, enabling hypothesis generation across multiple data sources.
- BioinformaticsbioRxivPreprint
What are the most influencing factors in reconstructing a reliable transcriptome assembly?
Noushin Ghaffari, Jordi Abante, Raminder Singh…·Charles D. Johnson
The paper investigates factors affecting transcriptome assembly quality, finding that input RNA-Seq data quality and base-calling accuracy are more critical than coverage.
DOI 10.1101/220269 - BioinformaticsNature MethodsPeer-reviewed
Critical Assessment of Metagenome Interpretation - a benchmark of computational metagenomics software
Alexander Sczyrba, Peter Hofmann, Peter Belmann…·Alice Carolyn McHardy
The paper benchmarks computational metagenomics software using complex datasets, showing strengths and limitations in assembly, binning, and taxonomic profiling.
873 citationstop 1%