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 · 75
Sequencing of human genomes with nanopore technology.
PMID 31015479 · PMC6478738 · Nature communications · 2019 · 8 claims · 7 setups
A novel single-sample, reference panel-free, read-based phasing algorithm built on the STITCH model improves nanopore SNV calling from modest baseline levels.
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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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Has reproduction · 86
Assessing Bos taurus introgression in the UOA Bos indicus assembly.
PMID 34922445 · PMC8684283 · Genetics, selection, evolution : GSE · 2021 · 7 claims · 6 setups
Aligning B. taurus samples to UOA_Brahman_1 detects up to 5 million more SNVs than aligning to ARS_UCD1.2, and aligning B. indicus samples to ARS_UCD1.2 detects 1.5 million more SNVs than aligning to UOA_Brahman_1, demonstrating reference-genome bias.
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Has reproduction · 51
Evaluation of the Available Variant Calling Tools for Oxford Nanopore Sequencing in Breast Cancer.
PMID 36140751 · PMC9498802 · Genes · 2022 · 7 claims · 6 setups
Clair3 and Human-SNP-wf (which incorporates Clair3) achieved the highest performance among the six variant callers tested.
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Has reproduction · 82
Landscape of allele-specific transcription factor binding in the human genome.
PMID 33980847 · PMC8115691 · Nature communications · 2021 · 8 claims · 6 setups
A novel statistical framework (ADASTRA) calls allele-specific TF binding from existing ChIP-Seq alignments by jointly correcting for background allelic dosage (BAD, from aneuploidy/CNVs) and reference mapping bias.