Cross-study Data Integration
Cross-Study Data Integration is a metagenomic integration approach that synthesizes heterogeneous genomic data across multiple independent studies by harmonizing variable experimental designs, sequencing protocols, and biological contexts to enable comparative and integrative analysis beyond the scope of individual studies.
47
Publications
4.5K
Citations
421
Authors
226
Institutions
Publications per year
2017–2026
22
Parents
47
Toward interoperable bioscience data
Susanna‐Assunta Sansone, Philippe Rocca‐Serra, Dawn Field et al. · Nature Genetics · 2012 · 468 citations · Full text
Computing, Biology, Data Science +16
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226
Harvard University
Cambridge, United States
6 h-index
23 publications
4.9K citations
University of Oxford
Oxford, United Kingdom
5 h-index
10 publications
2.2K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
5 h-index
21 publications
2.7K citations

Johns Hopkins University
Baltimore, United States
5 h-index
7 publications
660 citations

University of Helsinki
Helsinki, Finland
4 h-index
8 publications
407 citations

Karolinska Institutet
Stockholm, Sweden
4 h-index
9 publications
1K citations
University of Pennsylvania
Philadelphia, United States
3 h-index
6 publications
226 citations
Wellcome Trust
London, United Kingdom
3 h-index
11 publications
2.5K citations
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4 publications · 156 citations
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Repository · 3 publications · 90 citations
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2 publications · 40 citations
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2 publications · 83 citations
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2 publications · 1.1K citations
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