Everything about Data integration

🧭 Start here: a 6-step reading path

1. Read the overview: Data integrationA 5-minute orientation
2. Skim a recent paper: International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic dataInfluential work since 2022
3. Pick up a classic book: PatternsThe most-reprinted book on the subject
4. Read the landmark paper: Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence dataCited 18,537 times
5. Go sideways: Federated database systemA closely related topic
6. Go sideways: Ontology-based data integrationA closely related topic

🏆 Landmark papers (most cited)

• Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data

  Matthew Kearse, Richard Moir, Amy Wilson · 2012 · Bioinformatics · 18,537 citations

• Integrated analysis of multimodal single-cell data

  Yuhan Hao, Stephanie Hao, Erica Andersen-Nissen · 2021 · Cell · 16,337 citations

• Comprehensive Integration of Single-Cell Data

  Tim Stuart, Andrew Butler, Paul Hoffman · 2019 · Cell · 16,233 citations

• Integrating single-cell transcriptomic data across different conditions, technologies, and species

  Andrew Butler, Paul Hoffman, Peter Smibert · 2018 · Nature Biotechnology · 13,443 citations

• TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data

  Chengjie Chen, Hao Chen, Yi Zhang · 2020 · Molecular Plant · 12,920 citations

• Fast, sensitive and accurate integration of single-cell data with Harmony

  Ilya Korsunsky, Nghia Millard, Jean Fan · 2019 · Nature Methods · 11,245 citations

🆕 Influential since 2022

• International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data

  Daniel A. Arber, Attilio Orazi, Robert P. Hasserjian · 2022 · Blood · 2,991 citations

• UALCAN: An update to the integrated cancer data analysis platform

  Darshan Shimoga Chandrashekar, Santhosh Kumar Karthikeyan, Praveen Kumar Korla · 2022 · Neoplasia · 2,335 citations

• Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data

  Zhiqiang Pang, Guangyan Zhou, Jessica Ewald · 2022 · Nature Protocols · 1,427 citations

• Integrative analysis of multimodal mass spectrometry data in MZmine 3

  Robin Schmid, Steffen Heuckeroth, Ansgar Korf · 2023 · Nature Biotechnology · 1,339 citations

• Artificial intelligence for multimodal data integration in oncology

  Jana Lipkova, Richard J. Chen, Bowen Chen · 2022 · Cancer Cell · 817 citations

📚 Books worth reading

• PatternsIBM Redbooks · 2002
• SAS(R) 9.1.3 Intelligence PlatformSAS Publishing · 2006
• VHDLZainalabedin Navabi · 1992
• Calculus&MathematicaBill Davis, William Davis · 1994
• Data and Computer CommunicationsWilliam Stallings · 1985
• Computerized AccountingMcGraw-Hill · 1994
• Calculus using MathematicaK. D. Stroyan, Stroyan · 1993
• PSPICE and MATLAB for electronicsJohn Okyere Attia · 2002

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

• Federated database system A federated database system (FDBS) is a type of meta-database management system (DBMS), which transparently maps multiple autonomous database systems into…
• Ontology-based data integration Ontology-based data integration involves the use of one or more ontologies to effectively combine data or information from multiple heterogeneous sources…
• Ontology alignment Ontology alignment, or ontology matching, is the process of determining correspondences between concepts in ontologies. A set of correspondences is also…
• Database schema The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS)…
• Schema-agnostic databases Schema-agnostic databases or vocabulary-independent databases aim at supporting users to be abstracted from the representation of the data, supporting…
• Semantic heterogeneity Semantic heterogeneity is when database schema or datasets for the same domain are developed by independent parties, resulting in differences in meaning…
• Dataspace A dataspace is an abstraction in data management that aims to overcome some of the problems encountered in a data integration system. A dataspace is defined…
• Data warehouse In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a…