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).

• A third approach to gene prediction suggests thousands of additional human transcribed regions.

  PMID 16543943 · PMC1391917 · PLoS computational biology · 2006 · 8 claims · 7 setups

  Full-text index only

  A third basic concept for gene prediction exists, based on detecting strand-specific 'transcription footprints' (mutational and selectional biases) rather than gene structure or sequence similarity.

  genome 4.4-mb known nucleotide repeat polyadenylation

• Detection of Virus-Related Sequences Associated With Potential Etiologies of Hepatitis in Liver Tissue Samples From Rats, Mice, Shrews, and Bats.

  PMID 34177835 · PMC8221242 · Frontiers in microbiology · 2021 · 8 claims · 6 setups

  Has reproduction · 79

  Viral metagenomics of liver tissue from rats, mice, shrews, and bats revealed a diverse set of sequences related to herpesviruses, orthomyxoviruses, anelloviruses, hepeviruses, hepadnaviruses, flaviviruses, parvoviruses, and picornaviruses

  pooled individual liver serum viral pcr strand-specific

• High-resolution transcriptome and genome-wide dynamics of RNA polymerase and NusA in Mycobacterium tuberculosis.

  PMID 23222129 · PMC3553938 · Nucleic acids research · 2013 · 8 claims · 7 setups

  Has reproduction · 69

  NusA interacts with RNAP ubiquitously throughout the M. tuberculosis chromosome and its ChIP-seq profile mirrors RNAP distribution in both exponential and stationary phase, despite NusA not binding DNA directly.

  mycobacterium tuberculosis chip-seq input strand-specific

• Vespucci: a system for building annotated databases of nascent transcripts.

  PMID 24304890 · PMC3936758 · Nucleic acids research · 2014 · 8 claims · 7 setups

  Has reproduction · 73

  Existing ChIP-seq and RNA-seq analysis platforms (e.g. Cufflinks, peak callers) are unsuited to GRO-seq because they assume spliced/exonic reads, uniform density and paired-end data, and cannot identify transcriptional units de novo across the whole genome.

  thioglycollate-elicited mcf-7 macrophages mm9 gro-seq chip-seq short-read