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).

• GeneAlign: a coding exon prediction tool based on phylogenetical comparisons.

  PMID 16845010 · PMC1538901 · Nucleic acids research · 2006 · 8 claims · 5 setups

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  GeneAlign predicts coding exons by using signal detection (GeneSplicer/WMM) combined with CORAL, a heuristic linear-time alignment tool, to align candidate signal-flanked regions against annotated exons of a homologous organism's genes

  homologous human-mouse same gene comparative parameter micro-exon

• Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources.

  PMID 16469098 · PMC1409804 · BMC bioinformatics · 2006 · 7 claims · 3 setups

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  AUGUSTUS+ extends the AUGUSTUS GHMM by combining intrinsic sequence information with extrinsic hints via an extended emission alphabet, so the GHMM jointly models the DNA sequence, gene structure, and hint collection.

  chromosome genomic training ghmm-based sequence parameter

• Reference based annotation with GeneMapper.

  PMID 16600017 · PMC1557983 · Genome biology · 2006 · 7 claims · 6 setups

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  GeneMapper transfers reference gene annotations to target genomes with higher accuracy than GeneWise and Projector

  orthologous human-mouse chicken encode reference-based multi-species reciprocal

• Aggregation propensity of the human proteome.

  PMID 18927604 · PMC2557143 · PLoS computational biology · 2008 · 8 claims · 7 setups

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  Long proteins have, on average, less intense/pronounced aggregation peaks than short proteins

  proteome non-membrane proteins membrane sequence-based correlation statistical

• AUGUSTUS at EGASP: using EST, protein and genomic alignments for improved gene prediction in the human genome.

  PMID 16925833 · PMC1810548 · Genome biology · 2006 · 8 claims · 5 setups

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  AUGUSTUS predicted significantly more genes correctly than any other ab initio program in EGASP

  genome human-mouse genes initio comparative extrinsic

• Using ESTs to improve the accuracy of de novo gene prediction.

  PMID 16817966 · PMC1534067 · BMC bioinformatics · 2006 · 8 claims · 8 setups

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  TWINSCAN_EST combines EST alignments with TWINSCAN via a trainable 'ESTseq' representation and improves exact gene structure prediction accuracy on the whole C. elegans genome

  elegans genome chromosome novo gene partial

• An efficient method for the prediction of deleterious multiple-point mutations in the secondary structure of RNAs using suboptimal folding solutions.

  PMID 18445289 · PMC2386494 · BMC bioinformatics · 2008 · 8 claims · 6 setups

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  Using RNAsubopt suboptimal solutions computed once for the wild-type sequence, specific multiple-point mutations likely to cause conformational rearrangement can be selected without brute-force enumeration.

  example hepatitis minimum suboptimal multiple-point

• The specificity and polymorphism of the MHC class I prevents the global adaptation of HIV-1 to the monomorphic proteasome and TAP.

  PMID 18949050 · PMC2569417 · PloS one · 2008 · 6 claims · 5 setups

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  Within individual hosts, proteasome and TAP escape mutations in HIV-1 occur frequently

  hiv-1 hla-genotyped predicted bioinformatic longitudinal ancestral

• SIRE 2.0: a novel method for estimating polygenic host effects underlying infectious disease transmission, and analytical expressions for prediction accuracies.

  PMID 40169992 · PMC11963337 · Genetics, selection, evolution : GSE · 2025 · 8 claims · 2 setups

  Has reproduction · 83

  SIRE 2.0 is a novel Bayesian methodology and software tool for estimating polygenic contributions (variance components and additive genetic effects) to host susceptibility, infectivity and recoverability from temporal epidemic data using pedigree/genomic relationship matrices.

  simulated bayesian systematic

• A model-based approach to selection of tag SNPs.

  PMID 16776821 · PMC1525207 · BMC bioinformatics · 2006 · 7 claims · 5 setups

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  The Li and Stephens hidden Markov model outperforms other tested models (simple Markov, two-state HMM, HMM-4D, greedy GR-1/GR-2) in description code-length, tag set information content, and prediction of tagged SNPs.

  hapmap encode enr112 tag cross-validated entropy tagged

• Nucleotide sequence analyses of the MRP1 gene in four populations suggest negative selection on its coding region.

  PMID 16684361 · PMC1488846 · BMC genomics · 2006 · 8 claims · 5 setups

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  The coding region of MRP1 shows evidence of negative selection or recent population expansion based on nucleotide diversity statistics

  healthy mrp1 population novo population functional

• Optimality driven nearest centroid classification from genomic data.

  PMID 17912341 · PMC1991588 · PloS one · 2007 · 7 claims · 5 setups

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  A theoretical result determines the subset of features of a given size that minimizes the misclassification rate for a nearest-centroid (LDA) classifier, based on equation (4).

  artificial simulated previously-published simulated simulation clinical

• SeqBuster, a bioinformatic tool for the processing and analysis of small RNAs datasets, reveals ubiquitous miRNA modifications in human embryonic cells.

  PMID 20008100 · PMC2836562 · Nucleic acids research · 2010 · 8 claims · 6 setups

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  SeqBuster is a versatile web-based and stand-alone bioinformatic toolkit for processing and analyzing large-scale small RNA deep sequencing datasets.

  embryonic hesc small sequence adapter

• Ensembl 2007.

  PMID 17148474 · PMC1761443 · Nucleic acids research · 2007 · 8 claims · 7 setups

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  Ensembl added 18 new chordate genomes this year, increasing total genomes available from 15 to 33, the largest yearly increase to date.

  low-coverage cow chicken genome genome standard customized

• A hybrid empirical and parametric approach for managing ecosystem complexity: Water quality in Lake Geneva under nonstationary futures.

  PMID 35733249 · PMC9245694 · Proceedings of the National Academy of Sciences of the United States of America · 2022 · 7 claims · 6 setups

  Has reproduction · 69

  A hybrid model combining empirical dynamic modeling (EDM/S-map) for biogeochemical sink terms with the equation-based Simstrat hydrodynamic model for physical source terms produces substantially better historical DOB forecasts than conventional parametric models.

  lake convergent multivariate s-map