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).

• Web services and workflow management for biological resources.

  PMID 16351751 · PMC1866383 · BMC bioinformatics · 2005 · 8 claims · 4 setups

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  Workflow management systems combined with Web Services are a promising ICT approach for automating access to and integration of biomedical data.

  cabri iarc taverna web workflow database

• Polyploidy-driven expansion and regulatory diversification of the Kelch repeat F-box gene family in sweetpotato.

  PMID 42050392 · PMC13262408 · BMC genomics · 2026 · 8 claims · 8 setups

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  KFB family size does not scale linearly with ploidy, reflecting lineage-specific gene retention and loss rather than genome multiplication alone

  proteomes kfb four pairwise blastp physicochemical chromosomal

• SARS-CoV genome polymorphism: a bioinformatics study.

  PMID 16144519 · PMC5172477 · Genomics, proteomics & bioinformatics · 2005 · 8 claims · 6 setups

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  SARS-CoV isolates can be classified into groups/subgroups based on the number and distribution of SNVs and INDELs relative to a 'profile' sequence, and this classification aligns with phylogenetic tree relationships and epidemiological spread.

  sars-cov annotated spike whole-genome positional codon

• Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.

  PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups

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  Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes

  pubmed genes same randomly geneseeker evoc disease

• Mutation analysis in a German family identified a new cataract-causing allele in the CRYBB2 gene.

  PMID 17653036 · PMC2774456 · Molecular vision · 2007 · 8 claims · 4 setups

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  A novel heterozygous mutation (383A>T; D128V) in exon 5 of CRYBB2 cosegregates with congenital cataract in all three affected family members and is absent in unaffected relatives.

  genomic pcr-amplified computational pcr restriction pcr-rflp

• Illuminating cell states by a comprehensive and interpretable single cell foundation model.

  PMID 41839876 · PMC13139411 · Nature communications · 2026 · 6 claims · 6 setups

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  CellVQ, incorporating a Single-Cell Discretization (SCD) module that converts cell embeddings into a discrete 'cell code' via a unified codebook, mitigates data heterogeneity and batch effects while improving interpretability

  pancreas sampled bulk lines scrna-seq type property

• StatsDB: platform-agnostic storage and understanding of next generation sequencing run metrics.

  PMID 24627795 · PMC3938176 · F1000Research · 2013 · 8 claims · 6 setups

  Has reproduction · 43

  StatsDB is an open-source software package for storage and analysis of next generation sequencing run metrics, backed by an SQL (MySQL) database with Perl and Java APIs.

  fastq mysql perl java fastqc relational programmatic

• What makes species unique? The contribution of proteins with obscure features.

  PMID 16859532 · PMC1779552 · Genome biology · 2006 · 7 claims · 8 setups

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  POFs constitute 18-38% (average 26%) of a typical eukaryotic proteome

  eukaryotic animal cerevisiae homo hmmpfam blast tblastn

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain

• Representing and querying disease networks using graph databases.

  PMID 27462371 · PMC4960687 · BioData mining · 2016 · 7 claims · 8 setups

  Has reproduction · 77

  Graph databases are well suited for representing biological information because it is typically highly connected, semi-structured and unpredictable, unlike relational databases which require rigid schemas.

  uniprot proteins tissues asthma all-vs-all protein-protein metabolic