Paper Library
PDF upload, DOI/PMID import, metadata enrichment, project collections, tags, and processing states.
DNA Dojo turns biology papers into structured research intelligence: citation-backed answers, experimental methods, biological entity memory, public database links, and project-level synthesis.
Extracts models, perturbations, controls, readouts, limitations, and source-backed follow-up questions.
Answers route through embedded chunks and return citations before they become saved project memory.
The first product surface is built around a complete paper-to-knowledge loop: import, parse, extract, link, ask, synthesize, and save.
PDF upload, DOI/PMID import, metadata enrichment, project collections, tags, and processing states.
Paper Card, Methods Card, Findings Card, Limitations Card, Citation Map, and suggested research questions.
Retrieval-grounded answers with source snippets, page-aware citations, confidence, and insufficient-evidence handling.
Extract captions, summarize figures and tables, link visuals back to claims, and store figure assets.
Genes, proteins, compounds, pathways, diseases, variants, assays, and organisms become searchable memory.
Ask across papers, generate evidence matrices, detect contradictions, and create mini-review drafts.
DNA Dojo keeps the interface close to the way researchers work: evidence first, methods visible, entities normalized, and outputs saved back to project memory.
Research question, novelty, core finding, limitations, entities, and follow-up questions.
Model system, perturbation, assay, control group, variables, readouts, and protocol notes.
Each answer is generated from retrieved chunks and saved with citation metadata.
Paper summaries, methods, answers, figures, and entities become reusable research memory.
Upload PDFs or import papers by DOI, PMID, or title search.
Parse paper text, figures, tables, methods, claims, and limitations.
Normalize genes, proteins, compounds, pathways, diseases, assays, and organisms.
Question one paper or a project library with citation-backed retrieval.
Compare findings, surface contradictions, and generate evidence matrices.
Save useful outputs as project cards and reusable biological memory.
DNA Dojo is designed for scientific work where every factual statement needs a source trail. Retrieval, citations, snippets, and uncertainty are first-class interface elements.
Which controls did the paper use for the inhibitor assay?
The paper supports vehicle-treated controls for baseline pathway activity and a combination arm for rebound signaling tests. Evidence outside those retrieved chunks is not assumed.
Vehicle-treated cells establish baseline pathway activity before inhibitor exposure.
Combination treatment tests rebound signaling after pathway blockade.
DNA Dojo treats papers as experimental records. The interface privileges methods, controls, model systems, entities, citations, uncertainty, and reusable project memory.
Research questions, claims, methods, entities, caveats, and suggested follow-ups stay tied to source chunks.
Model systems, perturbations, assays, controls, readouts, and protocol notes are normalized into reusable cards.
Saved cards turn papers and answers into project memory for genes, pathways, compounds, and assays.
Phase 1 extends beyond PDF parsing by linking extracted entities and metadata to open literature, protein, genome, compound, and structure databases.
PMID metadata, abstracts, PubMed records, PMC links, and Entrez database references.
Life-science metadata, open-access full text, figures, and supplementary material when available.
Works, authors, sources, institutions, topics, and citation-network context.
Protein names, functions, organisms, accessions, and cross-references.
Genes, transcripts, variants, sequences, homology, and regulatory context.
Molecules, targets, assays, mechanisms, and bioactivity measurements.
Protein and complex structures, ligands, chains, assemblies, and structure metadata.
Predicted protein structures and confidence context for sequence-to-structure workflows.
The product should help users move from reading to evidence extraction, from evidence to mechanisms, and from mechanisms to experiment planning.
Turn dense biology papers into structured questions, findings, methods, and limitations.
Capture models, perturbations, assays, controls, time points, readouts, and protocol notes.
Connect genes, proteins, compounds, pathways, phenotypes, and diseases into project memory.
Convert paper evidence into constraints, controls, next assays, and follow-up hypotheses.
Compare multiple papers by claim, evidence, organism, method, and citation strength.
Generate project-level synthesis with citations and clearly marked uncertainty.
Paper is live first. Molecule, sequence, experiment, tutoring, and discovery modules are reserved so future tools can share the same project memory layer.
Read, query, and card biology papers with citations.
Track compounds, targets, mechanisms, and assay evidence.
Annotate sequences and connect variants to literature.
Turn project context into guided explanations and checks.
Draft experiment plans from methods and constraints.
Surface hypotheses, gaps, and next papers to read.
The research workspace needs to be careful with user papers, project memory, AI keys, and scientific claims.
Build a private biology workspace where uploaded papers become citation-backed cards, methods intelligence, entity memory, and project synthesis.