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).

• RiboTaxa: combined approaches for rRNA genes taxonomic resolution down to the species level from metagenomics data revealing novelties.

  PMID 36159175 · PMC9492272 · NAR genomics and bioinformatics · 2022 · 8 claims · 6 setups

  Has reproduction · 66

  RiboTaxa, combining BBTools, FastQC, SortMeRNA, MetaRib, EMIRGE, VSEARCH, BBMap and QIIME 2's Sklearn classifier, was built as a pipeline for SSU rRNA-based taxonomic profiling of metagenomics data.

  microbial reconstructed synthetic real shotgun ssu full-length

• LMAS: evaluating metagenomic short de novo assembly methods through defined communities.

  PMID 36576131 · PMC9795473 · GigaScience · 2022 · 8 claims · 5 setups

  Has reproduction · 86

  LMAS (Last Metagenomic Assembler Standing) is a flexible, Nextflow-based, Docker-containerized automated workflow for benchmarking de novo metagenomic assemblers against defined mock communities, producing an interactive HTML report.

  zymobiomics assembled assembler-generated novo reference-based contig

• MetaGT: A pipeline for de novo assembly of metatranscriptomes with the aid of metagenomic data.

  PMID 36386613 · PMC9651917 · Frontiers in microbiology · 2022 · 7 claims · 4 setups

  Has reproduction · 83

  MetaGT is a pipeline that combines metatranscriptomic and metagenomic data from the same sample to assemble complete transcript sequences

  simulated mock16 real snailgut novo transcript gene

• Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.

  PMID 35794110 · PMC9258765 · Nature communications · 2022 · 8 claims · 5 setups

  Has reproduction · 94

  Deep learning (FFNN-SS and CNN-CBLV) enables accurate and fast likelihood-free estimation of epidemiological parameters and model selection from phylogenies

  simulated same hiv-1 simulation-based bayesian maximum-likelihood

• Identification and analysis of co-occurrence networks with NetCutter.

  PMID 18781200 · PMC2526157 · PloS one · 2008 · 8 claims · 4 setups

  Full-text index only

  Random sampling from a complete permutation set of the bipartite graph permits co-occurrence analysis with optimal stringency, and the edge-swapping (ES) model closely approximates this and is the preferred null-model among six tested.

  publime bipartite randomized co-occurrence null-model signal-to-noise