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).
-
Full-text index only
nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms.
PMID 15980516 · PMC1160133 · Nucleic acids research · 2005 · 6 claims · 4 setups
nsSNPAnalyzer is a web server that predicts whether a query nsSNP is disease-associated or functionally neutral using a Random Forest classifier combining structural and evolutionary information
-
Full-text index only
MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.
PMID 17553836 · PMC1933124 · Nucleic acids research · 2007 · 8 claims · 8 setups
A hybrid feature combining local contiguous triplet structure-sequence composition, MFE of the secondary structure, and P-value of a randomization test improves classification of real vs pseudo pre-miRNAs
-
Full-text index only
Ab initio identification of human microRNAs based on structure motifs.
PMID 18088431 · PMC2238772 · BMC bioinformatics · 2007 · 8 claims · 7 setups
MiRPred predicts miRNA precursors ab initio using only predicted secondary structure motifs, ignoring nucleotide sequence
-
Has reproduction · 87
Enhanced Generalizability of RNA Secondary Structure Prediction via Convolutional Block Attention Network and Ensemble Learning.
PMID 40871599 · PMC12388828 · Molecules (Basel, Switzerland) · 2025 · 8 claims · 8 setups
TrioFold integrates base-pairing clues from thermodynamic- and DL-based methods via ensemble learning and a convolutional block attention mechanism to enhance RSS prediction generalizability.
-
Has reproduction · 88
Comprehensive benchmarking of large language models for RNA secondary structure prediction.
PMID 40205851 · PMC11982019 · Briefings in bioinformatics · 2025 · 7 claims · 4 setups
Existing RNA-LLMs had not previously been evaluated for secondary structure prediction in a unified, fair experimental setup with the same datasets and prediction model.
-
Full-text index only
Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources.
PMID 16469098 · PMC1409804 · BMC bioinformatics · 2006 · 7 claims · 3 setups
AUGUSTUS+ extends the AUGUSTUS GHMM by combining intrinsic sequence information with extrinsic hints via an extended emission alphabet, so the GHMM jointly models the DNA sequence, gene structure, and hint collection.
-
Full-text index only
Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine.
PMID 16381612 · PMC1360673 · BMC bioinformatics · 2005 · 7 claims · 7 setups
A 32-dimensional triplet structure-sequence feature vector combined with SVM (triplet-SVM) can distinguish real human pre-miRNAs from pseudo pre-miRNA hairpins with ~90% accuracy.
-
Full-text index only
Using ESTs to improve the accuracy of de novo gene prediction.
PMID 16817966 · PMC1534067 · BMC bioinformatics · 2006 · 8 claims · 8 setups
TWINSCAN_EST combines EST alignments with TWINSCAN via a trainable 'ESTseq' representation and improves exact gene structure prediction accuracy on the whole C. elegans genome
-
Full-text index only
Wiggle-predicting functionally flexible regions from primary sequence.
PMID 16839194 · PMC1500818 · PLoS computational biology · 2006 · 7 claims · 6 setups
A GNM-derived, correlation-weighted 'FF score' can objectively define functionally flexible regions (FFRs) that match experimentally confirmed flexible/functional regions (hinges, recognition loops, catalytic loops).
-
Full-text index only
Using several pair-wise informant sequences for de novo prediction of alternatively spliced transcripts.
PMID 16925842 · PMC1810557 · Genome biology · 2006 · 8 claims · 4 setups
MARS, an extension of the Twinscan algorithm, uses multiple pairwise informant genomes to predict human alternatively spliced transcripts de novo without expressed sequence information.
-
Full-text index only
Predicting failure rate of PCR in large genomes.
PMID 18492719 · PMC2441781 · Nucleic acids research · 2008 · 7 claims · 8 setups
The number of predicted primer-binding sites in genomic DNA is the most important factor determining PCR failure.