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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Finding signals that regulate alternative splicing in the post-genomic era.
PMID 12429065 · PMC244920 · Genome biology · 2002 · 8 claims · 8 setups
Alternative splicing generates protein and regulatory diversity from a limited number of genes and modulates isoform levels in a cell-context-specific manner
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Clustering of phosphorylation site recognition motifs can be exploited to predict the targets of cyclin-dependent kinase.
PMID 17316440 · PMC1852407 · Genome biology · 2007 · 8 claims · 6 setups
CDK consensus motifs are frequently clustered (closely spaced) in known CDK substrate proteins rather than uniformly distributed
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Human synthetic lethal inference as potential anti-cancer target gene detection.
PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups
Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design
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Has reproduction · 100
Recurrent RNA edits in human preimplantation potentially enhance maternal mRNA clearance.
PMID 36543858 · PMC9772385 · Communications biology · 2022 · 8 claims · 7 setups
Compiled the largest human embryonic A-to-I editome to date from 2071 RNA-seq transcriptomes and identified thousands of per-stage Recurrent Embryonic Edits (REEs, present in ≥50% of samples per stage)
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SeqBuster, a bioinformatic tool for the processing and analysis of small RNAs datasets, reveals ubiquitous miRNA modifications in human embryonic cells.
PMID 20008100 · PMC2836562 · Nucleic acids research · 2010 · 8 claims · 6 setups
SeqBuster is a versatile web-based and stand-alone bioinformatic toolkit for processing and analyzing large-scale small RNA deep sequencing datasets.