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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A genome-wide survey demonstrates widespread non-linear mRNA in expressed sequences from multiple species.
PMID 16237125 · PMC1258171 · Nucleic acids research · 2005 · 8 claims · 6 setups
A genome-wide computational survey identifies 245 genes in mammals (264 across six species) that produce RREO events in expressed sequences
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GeneTide--Terra Incognita Discovery Endeavor: a new transcriptome focused member of the GeneCards/GeneNote suite of databases.
PMID 15608261 · PMC540076 · Nucleic acids research · 2005 · 8 claims · 7 setups
GeneTide integrates UniGene, DoTS, AceView, BLAT/GeneLoc genomic alignment, and GeneAnnot probe-set data into a unified Consensus/Uniqueness/Score scheme to associate ESTs with GeneCards genes
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Discovery of novel human transcript variants by analysis of intronic single-block EST with polyadenylation site.
PMID 19906316 · PMC2784480 · BMC genomics · 2009 · 8 claims · 7 setups
Intronic single-block ESTs with poly(A/T) tails reveal previously unidentified novel transcript variants missed by existing databases.
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Analysis of the prostate cancer cell line LNCaP transcriptome using a sequencing-by-synthesis approach.
PMID 17010196 · PMC1592491 · BMC genomics · 2006 · 8 claims · 7 setups
High-throughput 454 sequencing-by-synthesis of LNCaP cDNA can profile transcript abundance across the transcriptome
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Recent segmental and gene duplications in the mouse genome.
PMID 12914656 · PMC193640 · Genome biology · 2003 · 8 claims · 8 setups
33.6 Mb (1.2%) of the February 2003 mouse genome assembly (2,695 Mb) is involved in recent segmental duplications
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JIGSAW, GeneZilla, and GlimmerHMM: puzzling out the features of human genes in the ENCODE regions.
PMID 16925843 · PMC1810558 · Genome biology · 2006 · 8 claims · 4 setups
Adding model states for specific biological features (signal peptides, CpG islands, etc.) to non-comparative GHMM gene finders did little or nothing to enhance predictive accuracy, sometimes reducing it.