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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Has reproduction · 71
Comprehensive comparison of gene expression diversity among a variety of human stem cells.
PMID 36458020 · PMC9706419 · NAR genomics and bioinformatics · 2022 · 6 claims · 7 setups
iPSC gene expression is more strongly influenced by tissue origin than other stem cell types, whereas ESCs and somatic stem cells (MSCs, HSCs) are more strongly impacted by culture condition.
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Has reproduction · 76
Daily temperature cycles promote alternative splicing of RNAs encoding SR45a, a splicing regulator in maize.
PMID 33705553 · PMC8195531 · Plant physiology · 2021 · 8 claims · 4 setups
Increasing maximum daily temperature (MDT) globally elevates the frequency of alternative splicing in maize, particularly intron retention and exon skipping.
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Has reproduction · 79
pyrpipe: a Python package for RNA-Seq workflows.
PMID 34085037 · PMC8168212 · NAR genomics and bioinformatics · 2021 · 8 claims · 3 setups
pyrpipe enables development of flexible, reproducible, and easy-to-debug RNA-Seq computational pipelines purely in Python, in an object-oriented manner
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Has reproduction · 86
RNASEQR--a streamlined and accurate RNA-seq sequence analysis program.
PMID 22199257 · PMC3315322 · Nucleic acids research · 2012 · 8 claims · 7 setups
RNASEQR is a new RNA-seq mapper/aligner that combines a BWT-based (Bowtie) transcriptomic/genomic alignment with hash-based BLAT local alignment in three sequential steps: transcriptome mapping, novel exon detection, and anchor-and-align novel splice junction identification.
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Full-text index only
Have microarrays failed to deliver for developmental biology?
PMID 12225576 · PMC139405 · Genome biology · 2002 · 8 claims · 8 setups
Despite predictions that microarrays would transform biology, very few published developmental biology microarray studies have generated novel insights.