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).

• A novel deep learning-driven framework for improving lncRNA comprehensive annotation with LncADeep 2.0.

  PMID 41923359 · PMC13090826 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

  Full-text index only

  LncADeep 2.0 outperforms LncADeep and other existing tools for lncRNA identification on both GENCODE annotated transcripts and independent RNA-seq data

  lncrna hypertrophic gencode lncrna-protein-mirna mlp-based independent ablation

• Systematic and computational identification of Androctonus crassicauda long non-coding RNAs.

  PMID 33633149 · PMC7907363 · Scientific reports · 2021 · 8 claims · 6 setups

  Has reproduction · 71

  13,401 lncRNAs were identified in the A. crassicauda transcriptome using the ECF pipeline

  crassicauda rna-seq coding sequence

• Whole genome and transcriptome maps of the entirely black native Korean chicken breed Yeonsan Ogye.

  PMID 30010758 · PMC6065499 · GigaScience · 2018 · 8 claims · 6 setups

  Has reproduction · 91

  A draft genome (Ogye_1.1) was assembled using a hybrid de novo method combining high-depth Illumina short reads (376.6X) and low-depth PacBio long reads (9.7X)

  yeonsan ogye_1.1 locus tissues whole-genome genome structural

• annotate_my_genomes: an easy-to-use pipeline to improve genome annotation and uncover neglected genes by hybrid RNA sequencing.

  PMID 36472574 · PMC9724561 · GigaScience · 2022 · 7 claims · 8 setups

  Has reproduction · 78

  annotate_my_genomes is an easy-to-use genome-guided pipeline that uses hybrid (PacBio+Illumina) assembled transcripts to distinguish coding genes from long non-coding RNAs and reconcile them with prior annotations.

  chick real simulated pacbio illumina hybrid

• CRESCENT, a comprehensive RNA-Seq expression, splicing, and coding/non-coding element network tool.

  PMID 41566196 · PMC12895761 · BMC bioinformatics · 2026 · 6 claims · 6 setups

  Full-text index only

  CRESCENT is a Snakemake workflow performing fully automated, comprehensive RNA-Seq analysis integrating differential expression, differential alternative splicing (DAS), differential transcript usage (DTU), and GO enrichment

  arabidopsis bulk rna-seq-based rna-seq