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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Vertebrate gene finding from multiple-species alignments using a two-level strategy.
PMID 16925840 · PMC1810555 · Genome biology · 2006 · 8 claims · 5 setups
DOGFISH cleanly separates a multi-species alignment classifier (RVM cascade) from an HMM-based structure predictor, avoiding tight coupling of alignment complexity with HMM formalism
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In silico analysis of missense substitutions using sequence-alignment based methods.
PMID 18951440 · PMC3431198 · Human mutation · 2008 · 8 claims · 7 setups
Carefully validated PMSA-based computational algorithms can achieve predictive values of ~75-95% for classifying missense substitutions as pathogenic or neutral.
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Has reproduction · 88
Wochenende - modular and flexible alignment-based shotgun metagenome analysis.
PMID 36368923 · PMC9650795 · BMC genomics · 2022 · 8 claims · 6 setups
Wochenende is a modular, transparent alignment-based pipeline for shotgun metagenome analysis supporting short and long reads across all kingdoms of life
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CONTRAST: a discriminative, phylogeny-free approach to multiple informant de novo gene prediction.
PMID 18096039 · PMC2246271 · Genome biology · 2007 · 8 claims · 5 setups
CONTRAST predicts exact coding region structures for 65% more human genes than the previous state-of-the-art de novo predictor (N-SCAN)
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Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties.
PMID 16790052 · PMC1534064 · BMC bioinformatics · 2006 · 8 claims · 7 setups
The Sequential Minimal Optimization (SMO) SVM algorithm was the best-performing classifier among 26 WEKA classifiers for predicting catalytic residues
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Has reproduction · 83
Accurate prediction of metagenome-assembled genome completeness by MAGISTA, a random forest model built on alignment-free intra-bin statistics.
PMID 35248155 · PMC8898458 · Environmental microbiome · 2022 · 7 claims · 7 setups
MAGISTA, a random forest model built on alignment-free intra-bin distance-distribution statistics, can estimate MAG completeness and purity without relying on reference marker genes.
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Metagenomic study of the oral microbiota by Illumina high-throughput sequencing.
PMID 19796657 · PMC3568755 · Journal of microbiological methods · 2009 · 8 claims · 6 setups
The 16S rRNA V5 hypervariable region, amplified as a short ~82-base segment, provides reliable taxonomic identification of oral bacteria against public databases like HOMD.