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 · 69
A comparison across non-model animals suggests an optimal sequencing depth for de novo transcriptome assembly.
PMID 23496952 · PMC3655071 · BMC genomics · 2013 · 8 claims · 8 setups
Representative de novo transcriptome assemblies are generated with as few as ~20 million reads for single-tissue samples and ~30 million reads for whole animals at the mRNA-coverage level.
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Has reproduction · 78
annotate_my_genomes: an easy-to-use pipeline to improve genome annotation and uncover neglected genes by hybrid RNA sequencing.
PMID 36472574 · PMC9724561 · GigaScience · 2022 · 7 claims · 8 setups
annotate_my_genomes is an easy-to-use genome-guided pipeline that uses hybrid (PacBio+Illumina) assembled transcripts to distinguish coding genes from long non-coding RNAs and reconcile them with prior annotations.
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SNPdetector: a software tool for sensitive and accurate SNP detection.
PMID 16261194 · PMC1274293 · PLoS computational biology · 2005 · 7 claims · 7 setups
SNPdetector, which models human visual inspection of sequencing traces, achieves low false positive and false negative rates in automated SNP and mutation detection
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Has reproduction · 63
hgtseq: A Standard Pipeline to Study Horizontal Gene Transfer.
PMID 36498841 · PMC9738810 · International journal of molecular sciences · 2022 · 8 claims · 8 setups
hgtseq is a fully automated, portable, and scalable Nextflow/nf-core pipeline for detecting horizontal gene transfer signatures from unmapped sequencing reads.
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Improved reconstruction of transcripts and coding sequences from RNA-seq data.
PMID 41700087 · PMC12910111 · Nucleic acids research · 2026 · 7 claims · 3 setups
GeMoSeq combines combinatorial enumeration of candidate transcripts, splitting heuristics, and likelihood-based (EM) quantification for transcript reconstruction from RNA-seq data