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).
-
Has reproduction · 71
RNAmountAlign: Efficient software for local, global, semiglobal pairwise and multiple RNA sequence/structure alignment.
PMID 31978147 · PMC6980424 · PloS one · 2020 · 8 claims · 6 setups
RNAmountAlign is the first RNA sequence/structure pairwise alignment algorithm based on incremental ensemble mountain distance, running in O(n^3) time and O(n^2) space for two sequences of length n.
-
Full-text index only
DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis.
PMID 17980028 · PMC2186358 · BMC bioinformatics · 2007 · 7 claims · 3 setups
The DAVID Gene Concept, a single-linkage algorithm, merges gene clusters from Entrez Gene, UniRef100, and PIR-NREF100 that share protein IDs and species into unified DAVID gene clusters, improving cross-referencing between NCBI and UniProt systems
-
Full-text index only
SVC: structured visualization of evolutionary sequence conservation.
PMID 15991338 · PMC1160265 · Nucleic acids research · 2005 · 7 claims · 5 setups
SVC aligns protein-coding sequences of orthologous gene pairs and maps them back onto their encoding exons/introns to generate a scaffold of conserved gene structure.
-
Full-text index only
Integrating alternative splicing detection into gene prediction.
PMID 15705189 · PMC550657 · BMC bioinformatics · 2005 · 8 claims · 4 setups
An integrative intrinsic/extrinsic method was implemented in the gene finder EuGÈNE (as EuGÈNE-M) to detect AS evidence from aligned transcripts and generate alternative optimal gene predictions consistent with each detected AS event.
-
Full-text index only
Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes.
PMID 19906700 · PMC2808873 · Nucleic acids research · 2010 · 7 claims · 4 setups
NCG is a web database integrating duplicability, orthology, evolutionary appearance, and network topology data for 736 human cancer genes
-
Full-text index only
MitoVariome: a variome database of human mitochondrial DNA.
PMID 19958475 · PMC2788364 · BMC genomics · 2009 · 8 claims · 5 setups
MitoVariome is a web-based, integrated variome database for human mitochondrial DNA that unifies sequence variation, haplogroup, and disease annotation information not jointly available in prior databases (MITOMAP, mtDB, Mitome, MitoRes).
-
Full-text index only
MACSIMS: multiple alignment of complete sequences information management system.
PMID 16792820 · PMC1539025 · BMC bioinformatics · 2006 · 8 claims · 5 setups
MACSIMS is a multiple alignment-based information management system combining knowledge-based database mining with ab initio sequence predictions
-
Full-text index only
The MAPPER database: a multi-genome catalog of putative transcription factor binding sites.
PMID 15608292 · PMC540057 · Nucleic acids research · 2005 · 8 claims · 6 setups
Built a library of 1134 HMM models (359 matrix-derived, 718 factor-derived, 57 JASPAR-derived), corresponding to 863 distinct TF names, from TRANSFAC and JASPAR binding site data
-
Full-text index only
L1Base: from functional annotation to prediction of active LINE-1 elements.
PMID 15608246 · PMC539998 · Nucleic acids research · 2005 · 7 claims · 6 setups
L1Base is a database of putatively active LINE-1 insertions in human, mouse and rat genomes, containing FLI-L1s (intact in both ORFs), ORF2-L1s (intact ORF2, disrupted ORF1), and FLnI-L1s (full-length, >6000 bp, non-intact)
-
Has reproduction · 73
Vespucci: a system for building annotated databases of nascent transcripts.
PMID 24304890 · PMC3936758 · Nucleic acids research · 2014 · 8 claims · 7 setups
Existing ChIP-seq and RNA-seq analysis platforms (e.g. Cufflinks, peak callers) are unsuited to GRO-seq because they assume spliced/exonic reads, uniform density and paired-end data, and cannot identify transcriptional units de novo across the whole genome.