ArticleBMC bioinformatics2018
Textpresso Central: a customizable platform for searching, text mining, viewing, and curating biomedical literature.
Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed.
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- Revised fission yeast gene and allele nomenclature guidelines for machine readability.Genetics · 2023Article
- Ensemble of deep learning language models to support the creation of living systematic reviews for the COVID-19 literature.Systematic reviews · 2023Article
- ESPERANTO: a GLP-field sEmi-SuPERvised toxicogenomics metadAta curatioN TOol.Bioinformatics (Oxford, England) · 2023Article
- Search, identification, and curation of cell and gene therapy product regulations using augmented intelligent systems.Frontiers in medicine · 2023Article
- Nanopublication-based semantic publishing and reviewing: a field study with formalization papers.PeerJ. Computer science · 2023Article
- Learning to discover medicines.International journal of data science and analytics · 2022Review
- Pilot trial comparing COVID-19 publication database to conventional online search methods.BMJ health & care informatics · 2022Article
- Exploring automatic inconsistency detection for literature-based gene ontology annotation.Bioinformatics (Oxford, England) · 2022Article
- AnthraxKP: a knowledge graph-based, Anthrax Knowledge Portal mined from biomedical literature.Database : the journal of biological databases and curation · 2022Article
- GeneCup: mining PubMed and GWAS catalog for gene-keyword relationships.G3 (Bethesda, Md.) · 2022Article
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- Making biological knowledge useful for humans and machines.Genetics · 2022Article
- 'Refbin' an online platform to extract and classify large-scale information: a pilot study of COVID-19 related papers.BMJ health & care informatics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundThe biomedical literature continues to grow at a rapid pace, making the challenge of knowledge retrieval and extraction ever greater. Tools that provide a means to search and mine the full text of literature thus represent an important way by which the efficiency of these processes can be improved.
resultsWe describe the next generation of the Textpresso information retrieval system, Textpresso Central (TPC). TPC builds on the strengths of the original system by expanding the full text corpus to include the PubMed Central Open Access Subset (PMC OA), as well as the WormBase C. elegans bibliography. In addition, TPC allows users to create a customized corpus by uploading and processing documents of their choosing. TPC is UIMA compliant, to facilitate compatibility with external processing modules, and takes advantage of Lucene indexing and search technology for efficient handling of millions of full text documents. Like Textpresso, TPC searches can be performed using keywords and/or categories (semantically related groups of terms), but to provide better context for interpreting and validating queries, search results may now be viewed as highlighted passages in the context of full text. To facilitate biocuration efforts, TPC also allows users to select text spans from the full text and annotate them, create customized curation forms for any data type, and send resulting annotations to external curation databases. As an example of such a curation form, we describe integration of TPC with the Noctua curation tool developed by the Gene Ontology (GO) Consortium.
conclusionTextpresso Central is an online literature search and curation platform that enables biocurators and biomedical researchers to search and mine the full text of literature by integrating keyword and category searches with viewing search results in the context of the full text. It also allows users to create customized curation interfaces, use those interfaces to make annotations linked to supporting evidence statements, and then send those annotations to any database in the world. Textpresso Central URL: http://www.textpresso.org/tpc.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.