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).

• Seeded Bayesian Networks: constructing genetic networks from microarray data.

  PMID 18601736 · PMC2474592 · BMC systems biology · 2008 · 8 claims · 4 setups

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  Seeding Bayesian Network analysis with prior networks derived from literature and/or PPI data improves recovery of known gene-gene interactions compared to BN analysis without a seed

  leukemia interactome pubmed-indexed computational microarray yeast literature

• Unusual linkage patterns of ligands and their cognate receptors indicate a novel reason for non-random gene order in the human genome.

  PMID 16277660 · PMC1309615 · BMC evolutionary biology · 2005 · 8 claims · 5 setups

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  Ligands are not more closely linked (shorter physical distance) to their cognate receptors than expected by chance

  genome genomic chromosome randomization

• BTW: a web server for Boltzmann time warping of gene expression time series.

  PMID 16845055 · PMC1538860 · Nucleic acids research · 2006 · 5 claims · 4 setups

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  Symmetric time warping distance is more flexible than Euclidean distance or correlation coefficient for identifying genes with similar temporal expression profiles, especially across sequences of different length.

  cerevisiae homologous yeast boltzmann histogram time

• Speeding disease gene discovery by sequence based candidate prioritization.

  PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups

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  Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.

  ensembl training same hgmd comparative machine tenfold

• Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.

  PMID 19801557 · PMC2780952 · DNA research : an international journal for rapid publication of reports on genes and genomes · 2009 · 6 claims · 3 setups

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  An SVM trained on 69 binary features of known PID genes can accurately classify PID vs non-PID genes and predict novel candidate PID genes

  genome training svm support leave-one-out sensitivity

• Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation.

  PMID 31836713 · PMC6911112 · Nature communications · 2019 · 8 claims · 6 setups

  Has reproduction · 100

  Stochastic exploration of the gene-regulatory network structure confers enhanced adaptive capacity, enabling GBM cells to converge to new target phenotypes in novel environments.

  gbm glioma gbm-focused glioma-related transcriptomic differential gene-regulatory

• Deciphering the Immune Microenvironment at the Forefront of Tumor Aggressiveness by Constructing a Regulatory Network with Single-Cell and Spatial Transcriptomic Data.

  PMID 38254989 · PMC10815467 · Genes · 2024 · 8 claims · 8 setups

  Has reproduction · 85

  Combining scRNA-seq and spatial transcriptomics enables inference of malignant cells at the invasive front of the ER+ breast cancer TME and dissection of events at the tumor infiltration forefront

  normal er+ epithelial malignant single-cell spatial copy

• Identification of genes influencing the evolution of Escherichia coli ST372 in dogs and humans.

  PMID 36752777 · PMC9997745 · Microbial genomics · 2023 · 8 claims · 8 setups

  Has reproduction · 89

  Dogs are the dominant host of E. coli ST372, and clusters within the ST372 population structure exhibit distinctive O:H types.

  coli st372 core draft whole-genome core population

• Biased exon/intron distribution of cryptic and de novo 3' splice sites.

  PMID 16141195 · PMC1197134 · Nucleic acids research · 2005 · 7 claims · 5 setups

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  Cryptic 3'ss (from 3'YAG consensus mutations) are significantly more frequent in exons than in introns

  disease authentic hek293t nuclear literature shapiro-senapathy splicing

• Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.

  PMID 15850479 · PMC1127068 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  A step-down quadratic regression method (fitting quadratic, then linear, then null models per gene) identifies differentially expressed genes and classifies them into 9 temporal expression patterns using continuous time information.

  olfactory present same anova-significant microarray step-down peddada

• Prediction-based approaches to characterize bidirectional promoters in the mammalian genome.

  PMID 18366609 · PMC2386062 · BMC genomics · 2008 · 8 claims · 7 setups

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  The mapping algorithm identified 5,647 candidate bidirectional promoter regions in the mouse genome, similar in number to those previously found in human.

  genome seven genes computational cage comparative

• The relationship of potential G-quadruplex sequences in cis-upstream regions of the human genome to SP1-binding elements.

  PMID 18353860 · PMC2377421 · Nucleic acids research · 2008 · 7 claims · 1 setups

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  A large number of upstream PQSSs incorporate the SP1-binding element, establishing a clear link between PQSS occurrence and SP1 elements

  genome genome-wide

• Web-based resources for comparative genomics.

  PMID 16197736 · PMC3525128 · Human genomics · 2005 · 8 claims · 8 setups

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  Comparative genomics is an indispensable tool for identifying functional genome elements and exploring evolutionary genome dynamics

  yeast chimpanzee mammalian protein-coding comparative genome maximum-likelihood

• Core transcriptional signatures of phase change in the migratory locust.

  PMID 31292921 · PMC6881432 · Protein & cell · 2019 · 8 claims · 7 setups

  Has reproduction · 60

  PhaseCore genes defined by AC-PCA contribution to phase differentiation predict phase status with >87.5% accuracy

  locusta integrated bulk rnai computational

• Automatic annotation of eukaryotic genes, pseudogenes and promoters.

  PMID 16925832 · PMC1810547 · Genome biology · 2006 · 8 claims · 6 setups

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  Fgenesh++ gene prediction pipeline identifies 91% of coding nucleotides with 90% specificity

  encode regions genes chromosome computational pseudogene promoter

• SysZNF: the C2H2 zinc finger gene database.

  PMID 18974185 · PMC2686507 · Nucleic acids research · 2009 · 7 claims · 6 setups

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  SysZNF is a database that systematically catalogs C2H2-ZNF genes in human and mouse with physical location, gene models, expression probes, protein domains, homologs, and literature links

  user-defined hmm domain all-to-all

• Evidence for positive selection in putative virulence factors within the Paracoccidioides brasiliensis species complex.

  PMID 18820744 · PMC2553485 · PLoS neglected tropical diseases · 2008 · 8 claims · 8 setups

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  Positive selection has played an important role in the molecular evolution of putative virulence factors of P. brasiliensis

  brasiliensis gp43 ratio codon-based mutational

• A map of human protein interactions derived from co-expression of human mRNAs and their orthologs.

  PMID 18414481 · PMC2387231 · Molecular systems biology · 2008 · 8 claims · 6 setups

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  Comparing human mRNA co-expression with co-expression of orthologous gene pairs in five other organisms identifies proteins that physically associate

  genes hela proteins worm co-expression quantitative functional

• Computational analysis of splicing errors and mutations in human transcripts.

  PMID 18194514 · PMC2234086 · BMC genomics · 2008 · 8 claims · 4 setups

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  Retained introns are significantly shorter than constitutively spliced introns

  refseq genes intron exon computational splice prediction

• Disease-aging network reveals significant roles of aging genes in connecting genetic diseases.

  PMID 19779549 · PMC2739292 · PLoS computational biology · 2009 · 8 claims · 8 setups

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  Human disease genes are much closer to aging genes in the PPI network than expected by chance

  protein-protein randomized dan aging network degree-conserved closeness