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).
-
Full-text index only
JIGSAW, GeneZilla, and GlimmerHMM: puzzling out the features of human genes in the ENCODE regions.
PMID 16925843 · PMC1810558 · Genome biology · 2006 · 8 claims · 4 setups
Adding model states for specific biological features (signal peptides, CpG islands, etc.) to non-comparative GHMM gene finders did little or nothing to enhance predictive accuracy, sometimes reducing it.
-
Full-text index only
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
AUGUSTUS predicted significantly more genes correctly than any other ab initio program in EGASP
-
Full-text index only
EGASP: Introduction.
PMID 16925831 · PMC1810546 · Genome biology · 2006 · 8 claims · 5 setups
Computational gene finding methods, when compared to the GENCODE golden standard annotation, show that the human genome annotation is nearly complete in terms of novel protein-coding loci.
-
Full-text index only
GeneMark: web software for gene finding in prokaryotes, eukaryotes and viruses.
PMID 15980510 · PMC1160247 · Nucleic acids research · 2005 · 8 claims · 2 setups
The GeneMark website provides web interfaces to the GeneMark family of ab initio gene-finding programs for prokaryotic, eukaryotic and viral genomic sequences
-
Full-text index only
Performance assessment of promoter predictions on ENCODE regions in the EGASP experiment.
PMID 16925837 · PMC1810552 · Genome biology · 2006 · 6 claims · 3 setups
Promoter predictors that combine promoter prediction with gene prediction (N-SCAN, Fprom) achieve better performance than pure ab initio promoter predictors, mainly by reducing the promoter search space and false positives
-
Full-text index only
EGASP: the human ENCODE Genome Annotation Assessment Project.
PMID 16925836 · PMC1810551 · Genome biology · 2006 · 8 claims · 6 setups
Best-performing computational gene prediction methods correctly predict at least one transcript for close to 70% of annotated genes in the ENCODE regions.
-
Full-text index only
Systematic analysis of human kinase genes: a large number of genes and alternative splicing events result in functional and structural diversity.
PMID 16351747 · PMC1866387 · BMC bioinformatics · 2005 · 8 claims · 7 setups
Systematic in silico search identified 5 novel human kinase genes (on chromosomes 1, 11, 13, 15, 16) and 1 pseudogene (chromosome X) absent from KinBase
-
Full-text index only
GENCODE: producing a reference annotation for ENCODE.
PMID 16925838 · PMC1810553 · Genome biology · 2006 · 8 claims · 8 setups
GENCODE annotation combines initial manual annotation by HAVANA, experimental validation, and refinement based on results to identify protein-coding genes in ENCODE regions
-
Full-text index only
Automatic annotation of eukaryotic genes, pseudogenes and promoters.
PMID 16925832 · PMC1810547 · Genome biology · 2006 · 8 claims · 6 setups
Fgenesh++ gene prediction pipeline identifies 91% of coding nucleotides with 90% specificity
-
Full-text index only
SelenoDB 1.0 : a database of selenoprotein genes, proteins and SECIS elements.
PMID 18174224 · PMC2238826 · Nucleic acids research · 2008 · 6 claims · 5 setups
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.