Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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EpiToolKit--a web server for computational immunomics.
PMID 18440979 · PMC2447732 · Nucleic acids research · 2008 · 7 claims · 3 setups
EpiToolKit is a web server integrating five MHC class I and two MHC class II epitope prediction methods in a unified, user-friendly interface.
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MutDB: update on development of tools for the biochemical analysis of genetic variation.
PMID 17827212 · PMC2238958 · Nucleic acids research · 2008 · 7 claims · 5 setups
MutDB integrates dbSNP and Swiss-Prot genetic variation data with protein structural information, functional disruption prediction scores, and clinical phenotype links (OMIM, dbGAP)
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LMPD: LIPID MAPS proteome database.
PMID 16381922 · PMC1347484 · Nucleic acids research · 2006 · 8 claims · 5 setups
LMPD is an object-relational database of lipid-associated protein sequences and annotations, publicly available from the LIPID MAPS Consortium website.
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TPRpred: a tool for prediction of TPR-, PPR- and SEL1-like repeats from protein sequences.
PMID 17199898 · PMC1774580 · BMC bioinformatics · 2007 · 7 claims · 8 setups
TPRpred detects divergent/remote-homolog TPR repeat units that existing resources (Pfam, SMART, REP) fail to detect
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An integrated database-pipeline system for studying single nucleotide polymorphisms and diseases.
PMID 19091018 · PMC2638159 · BMC bioinformatics · 2008 · 6 claims · 5 setups
Existing SNP/disease databases are fragmented; no combined resource widely supports gene-, SNP-, and disease-related information together
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Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.
PMID 19651875 · PMC2761287 · Nucleic acids research · 2009 · 8 claims · 7 setups
The LCV approach predicts HTH motifs with 93.29% accuracy, 93.93% sensitivity and 92.66% specificity using only primary sequence information