A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts

The readability of scientific texts is decreasing over time

(2017) Pontus Plavén-Sigray et al.   eLife

Text mining patents for biomedical knowledge

(2016) Raul Rodriguez-Esteban et al.   DRUG DISCOVERY TODAY

KEGG: new perspectives on genomes, pathways, diseases and drugs

(2016) Minoru Kanehisa et al.   NUCLEIC ACIDS RESEARCH

Text Mining the History of Medicine

(2016) Paul Thompson et al.   PLoS One

Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery

(2015) Graciela H. Gonzalez et al.   BRIEFINGS IN BIOINFORMATICS

Application of text mining in the biomedical domain

(2015) Wilco W.M. Fleuren et al.   METHODS

Protein–protein interaction predictions using text mining methods

(2015) Nikolas Papanikolaou et al.   METHODS

DISEASES: Text mining and data integration of disease–gene associations

(2015) Sune Pletscher-Frankild et al.   METHODS

KEGG as a reference resource for gene and protein annotation

(2015) Minoru Kanehisa et al.   NUCLEIC ACIDS RESEARCH

STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data

(2015) Damian Szklarczyk et al.   NUCLEIC ACIDS RESEARCH

Comprehensive comparison of large-scale tissue expression datasets

(2015) Alberto Santos et al.   PeerJ

Event-based text mining for biology and functional genomics

(2014) S. Ananiadou et al.   Briefings in Functional Genomics

STRING v10: protein–protein interaction networks, integrated over the tree of life

(2014) Damian Szklarczyk et al.   NUCLEIC ACIDS RESEARCH

UniProt: a hub for protein information

(2014)   NUCLEIC ACIDS RESEARCH

COMPARTMENTS: unification and visualization of protein subcellular localization evidence

(2014) J. X. Binder et al.   Database-The Journal of Biological Databases and Curation

Protein-driven inference of miRNA-disease associations

(2013) S. Mork et al.   BIOINFORMATICS

Text mining for systems biology

(2013) Juliane Fluck et al.   DRUG DISCOVERY TODAY

The rise of research networks

(2012) Jonathan Adams   NATURE

Text-mining solutions for biomedical research: enabling integrative biology

(2012) Dietrich Rebholz-Schuhmann et al.   NATURE REVIEWS GENETICS

Mining electronic health records: towards better research applications and clinical care

(2012) Peter B. Jensen et al.   NATURE REVIEWS GENETICS

STRING v9.1: protein-protein interaction networks, with increased coverage and integration

(2012) Andrea Franceschini et al.   NUCLEIC ACIDS RESEARCH

Chapter 11: Genome-Wide Association Studies

(2012) William S. Bush et al.   PLoS Computational Biology

Disease Ontology: a backbone for disease semantic integration

(2011) L. M. Schriml et al.   NUCLEIC ACIDS RESEARCH

The structural and content aspects of abstracts versus bodies of full text journal articles are different

(2010) K Bretonnel Cohen et al.   BMC BIOINFORMATICS

The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources

(2010) M. Gremse et al.   NUCLEIC ACIDS RESEARCH

Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text

(2009) Yael Garten et al.   BMC BIOINFORMATICS

Optical character recognition errors and their effects on natural language processing

(2009) Daniel Lopresti   International Journal on Document Analysis and Recognition

Beyond genes, proteins, and abstracts: Identifying scientific claims from full-text biomedical articles

(2009) Catherine Blake   JOURNAL OF BIOMEDICAL INFORMATICS

Facts from text: can text mining help to scale-up high-quality manual curation of gene products with ontologies?

(2008) R. Winnenburg et al.   BRIEFINGS IN BIOINFORMATICS

Trends in the global funding and activity of cancer research

(2008) Seth Eckhouse et al.   Molecular Oncology

Linking genes to literature: text mining, information extraction, and retrieval applications for biology

(2008) Martin Krallinger et al.   GENOME BIOLOGY