PLAN2L : PLant ANnotation to Literature: a text mining and information extraction system for Arabidopsis thaliana
PLAN2L (Plant annotation to literature) is a web tool for integrated text mining
and literature-derived bio-entity relation extraction. Although most of the underlying
technology could in principle be adapted to other organisms (or bio-topics), we try to
provide through PLAN2L a literature mining applications adapted to the needs of researches
studying the model organism Arabidopsis thaliana. A more detailed description of the system
is provided in the Overview/FAQ section.
You can do PLAN2L literature searches using for instance gene names (APETALA1) or keywords by
submitting your query in the search box below.
This system extracts biologically relevant
information at various levels, covering the detection and ranking of biological descriptions
related to cell cycle, protein interactions, gene regulations, cellular locations as well as
developmental processes (flower, root, leave and seed development).
It also provides biological relations between specific bio-entities: gene regulation
relations and protein interactions together with the corresponding textual evidence
Latest news: We have added a protein mutation extraction search option.
If you enter a keyword, term or gene name above you can
retrieve the associated literature information.
Cell cycle: association of sentences/entities according to their relevance for cell cycle information.
Regulatory information: Regulatory event description (e.g. gene regulation) from sentence classifier/rule based extraction.
Interaction information: Extraction of interaction information (e.g. PPIs) using a sentence classification system.
Protein localization: Extraction of subcellular localization information using sentence classifier and keywords.
Flowering: Relevance for flowering-related processes based on sentence categorization.
Leaf development: Relevance for leaf develoment and formation based on sentence categorization.
Root development: Relevance for root develoment and formation based on sentence categorization.
Seed development: Relevance for seed develoment, seedlings and germination based on sentence categorization.
BioCreative Metaserver: (BCMS) predictions for gene mentions, normalizations and interactions.