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).

• Exogean: a framework for annotating protein-coding genes in eukaryotic genomic DNA.

  PMID 16925841 · PMC1810556 · Genome biology · 2006 · 8 claims · 5 setups

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  Exogean is a framework using directed acyclic coloured multigraphs (DACMs) to represent biological objects (mRNA, ESTs, protein alignments, exons) and iteratively combine them into complex protein-coding transcript models.

  genome sequences automatic manual sequence

• EGASP: the human ENCODE Genome Annotation Assessment Project.

  PMID 16925836 · PMC1810551 · Genome biology · 2006 · 8 claims · 6 setups

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  Best-performing computational gene prediction methods correctly predict at least one transcript for close to 70% of annotated genes in the ENCODE regions.

  encode computational manual rt-pcr

• Using multiple alignments to improve seeded local alignment algorithms.

  PMID 16100379 · PMC1185574 · Nucleic acids research · 2005 · 8 claims · 2 setups

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  Using information implicit in a multiple alignment to dynamically build a spaced-seed index weighted toward promising regions increases sensitivity of local alignment search compared to indexing a sequence alone

  alignment query leave-one-species-out seeded

• Extending Asia Pacific bioinformatics into new realms in the "-omics" era.

  PMID 19958472 · PMC2788361 · BMC genomics · 2009 · 8 claims · 6 setups

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  88 full paper submissions were peer-reviewed for InCoB2009, with 49 shortlisted for oral presentation and 34 accepted into this BMC Genomics supplement, reflecting an overall acceptance rate of 50% across venues.

  nhe1 cancer mammalian bovine computational microarray quantile

• Machine learning-based DNA microarray analysis for disease detection using the MICRO-AI framework.

  PMID 41925147 · PMC13051084 · Science progress · 2026 · 8 claims · 1 setups

  Has reproduction · 22

  MICRO-AI's attention-weighted feature fusion reduces dimensionality by over 99% (from ~20,000 to ~127 genes) without loss of biological significance

  breast microarray

• CpG_MI: a novel approach for identifying functional CpG islands in mammalian genomes.

  PMID 19854943 · PMC2800233 · Nucleic acids research · 2010 · 8 claims · 6 setups

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  Functional ('bona fide') CGIs show distinct average/cumulative mutual information (AMI/CMI) distributions of neighboring CpG distances compared to non-functional CGIs and random genome segments

  genome random cd4+ six average mutual chip-seq

• Using several pair-wise informant sequences for de novo prediction of alternatively spliced transcripts.

  PMID 16925842 · PMC1810557 · Genome biology · 2006 · 8 claims · 4 setups

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  MARS, an extension of the Twinscan algorithm, uses multiple pairwise informant genomes to predict human alternatively spliced transcripts de novo without expressed sequence information.

  genome tissues novo pairwise rt-pcr

• RNASEQR--a streamlined and accurate RNA-seq sequence analysis program.

  PMID 22199257 · PMC3315322 · Nucleic acids research · 2012 · 8 claims · 7 setups

  Has reproduction · 86

  RNASEQR is a new RNA-seq mapper/aligner that combines a BWT-based (Bowtie) transcriptomic/genomic alignment with hash-based BLAT local alignment in three sequential steps: transcriptome mapping, novel exon detection, and anchor-and-align novel splice junction identification.

  ccds glioblastoma experimental simulated simulated bulk quality

• Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.

  PMID 18053250 · PMC2246260 · Genome biology · 2007 · 8 claims · 4 setups

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  Loss-of-function phenotypes in yeast are predictable from a gene's connections in a functional gene network via guilt-by-association.

  saccharomyces guilt-by-association comparison network-guided

• Twin peaks: the draft human genome sequence.

  PMID 11276423 · PMC138909 · Genome biology · 2001 · 8 claims · 8 setups

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  The predicted number of human genes (~26,000-40,000) is far lower than the widely assumed ~100,000, though downstream RNA/protein complexity can still generate substantial biological complexity.

  genome genomic genes yeast whole-genome bac computational