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).

• Molecular cloning, genomic characterization and over-expression of a novel gene, XRRA1, identified from human colorectal cancer cell HCT116Clone2_XRR and macaque testis.

  PMID 12908878 · PMC194569 · BMC genomics · 2003 · 8 claims · 7 setups

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  XRRA1 is a novel gene down-regulated ~2-fold in XR-resistant HCT116 Clone2_XRR relative to HCT116 Clone10, identified via cDNA microarray

  hct116 macaque cos-7 genomic cdna est molecular

• SelenoDB 1.0 : a database of selenoprotein genes, proteins and SECIS elements.

  PMID 18174224 · PMC2238826 · Nucleic acids research · 2008 · 6 claims · 5 setups

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  Standard genome annotation pipelines misannotate selenoprotein genes because they rely on UGA as a universal stop codon, failing to recognize its dual role as the selenocysteine-recoding codon.

  genomic cdna known sequence homology transcript

• Mice and more.

  PMID 14519193 · PMC328447 · Genome biology · 2003 · 8 claims · 7 setups

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  A multispecies weighted conservation score, which accounts for each species' divergence rate, can identify conserved non-coding sequences (multispecies conserved sequences, MCSs) likely to be biologically significant

  cftr ciona embryonic chromosome comparative genome bac-based

• Ab initio identification of human microRNAs based on structure motifs.

  PMID 18088431 · PMC2238772 · BMC bioinformatics · 2007 · 8 claims · 7 setups

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  MiRPred predicts miRNA precursors ab initio using only predicted secondary structure motifs, ignoring nucleotide sequence

  genome mirna hairpins chromosome secondary linear five-fold

• With the finished human genome in hand, what next?

  PMID 12844356 · PMC193627 · Genome biology · 2003 · 8 claims · 8 setups

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  Gene Ontology (GO) provides a syntax/query framework for functional classification of genes, expanding beyond E. coli origins into anatomy, pathology, and phenotype data.

  domestic saccharomyces systemic schistosoma comparative functional genetic