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).

• Sequences of complete human cytomegalovirus genomes from infected cell cultures and clinical specimens.

  PMID 19906940 · PMC2885759 · The Journal of general virology · 2010 · 8 claims · 5 setups

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  Both PCR sequencing and IGA sequencing (via de novo assembly guiding reference-dependent assembly plus PCR finishing) can successfully generate complete HCMV genome sequences from infected cell cultures and clinical specimens

  hcmv six pcr illumina reference-dependent

• Computational identification of transcriptional regulatory elements in DNA sequence.

  PMID 16855295 · PMC1524905 · Nucleic acids research · 2006 · 8 claims · 3 setups

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  Weight matrix (PWM/PSSM) models of TF binding sites are grounded in biophysical theory of protein-DNA interactions, with position weights corresponding to log-odds contributions to binding free energy

  saccharomyces generic pwm-based pwm

• WASP: a versatile, web-accessible single cell RNA-Seq processing platform.

  PMID 33736596 · PMC7977290 · BMC genomics · 2021 · 7 claims · 7 setups

  Has reproduction · 59

  WASP is a software platform for processing Drop-Seq-based scRNA-seq data generated with ddSEQ or 10x protocols, combining a Snakemake pre-processing pipeline with an R Shiny post-processing application.

  specified generic scrna-seq read reference

• Applications for protein sequence-function evolution data: mRNA/protein expression analysis and coding SNP scoring tools.

  PMID 16912992 · PMC1538848 · Nucleic acids research · 2006 · 7 claims · 8 setups

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  PANTHER HMMs built from family/subfamily multiple sequence alignments can classify novel protein sequences into functional groups based on statistically significant HMM match scores

  input gene genome-wide genes sequence gene numerical

• Reconstructing transcriptional regulatory networks through genomics data.

  PMID 20048387 · PMC3666560 · Statistical methods in medical research · 2009 · 7 claims · 5 setups

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  Location data (ChIP-chip/ChIP-seq) alone is insufficient for TRN inference because binding does not imply regulation, TF binding is dynamic across conditions/time, and TRNs involve combinatorial effects of multiple TFs not captured by single-TF ChIP experiments.

  yeast generic perturbations followed chip-chip chip-seq gene