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).
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Has reproduction · 58
A comparative study of techniques for differential expression analysis on RNA-Seq data.
PMID 25119138 · PMC4132098 · PloS one · 2014 · 8 claims · 8 setups
edgeR performs slightly better than DESeq and Cuffdiff2 in terms of the ability to uncover true positives.
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Has reproduction · 67
A consensus approach to vertebrate de novo transcriptome assembly from RNA-seq data: assembly of the duck (Anas platyrhynchos) transcriptome.
PMID 25009556 · PMC4070175 · Frontiers in genetics · 2014 · 8 claims · 8 setups
Multiple k-mer (MK) assemblies are more complete than single k-mer (SK) assemblies, showing higher reads-mapped-back-to-transcripts (RMBT) and higher CEGMA complete-gene percentages for all three tools.
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Has reproduction · 89
miRge 2.0 for comprehensive analysis of microRNA sequencing data.
PMID 30153801 · PMC6112139 · BMC bioinformatics · 2018 · 8 claims · 6 setups
An SVM-based novel miRNA detection model achieves an average MCC of 0.939 across 32 human cell datasets and outperforms miRDeep2 and miRAnalyzer on phylogenetic conservation of predicted miRNAs
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Has reproduction
miRge3.0: a comprehensive microRNA and tRF sequencing analysis pipeline.
PMID 34308351 · PMC8294687 · NAR genomics and bioinformatics · 2021 · 8 claims · 6 setups
miRge3.0 is a Python 3-based small RNA-seq and tRF analysis pipeline that improves on miRge2.0 (which was Python 2.7-based)
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Has reproduction · 90
Optimal Dual RNA-Seq Mapping for Accurate Pathogen Detection in Complex Eukaryotic Hosts.
PMID 39959292 · PMC11825298 · Bio-protocol · 2025 · 7 claims · 6 setups
Mapping adapter-trimmed reads first to the pathogen genome recovers more pathogen reads than the traditional host-first mapping approach.
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Has reproduction · 89
HTSQualC is a flexible and one-step quality control software for high-throughput sequencing data analysis.
PMID 34548573 · PMC8455540 · Scientific reports · 2021 · 8 claims · 5 setups
HTSQualC is a standalone, one-step QC software that performs filtering and trimming of raw HTS data in a single run
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Has reproduction · 95
nf-rnaSeqCount: A Nextflow pipeline for obtaining raw read counts from RNA-seq data.
PMID 35574063 · PMC9097006 · South African computer journal = Suid-Afrikaanse rekenaartydskrif · 2021 · 7 claims · 5 setups
nf-rnaSeqCount is a portable, reproducible Nextflow pipeline that maps RNA-seq reads to a reference genome and quantifies gene abundance for differential expression analysis
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Has reproduction · 85
An extensive evaluation of read trimming effects on Illumina NGS data analysis.
PMID 24376861 · PMC3871669 · PloS one · 2013 · 8 claims · 8 setups
Read trimming increases the quality and reliability of downstream NGS analyses (RNA-Seq mapping, SNP identification, genome assembly) while reducing execution time and computational resources.
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Full-text index only
Benchmarking methods for genome annotation using nanopore direct RNA in a non-model crop plant.
PMID 41800382 · PMC12967217 · Bioinformatics advances · 2026 · 6 claims · 8 setups
Annotation tools show substantial variation in isoform detection, structural completeness, splicing classification, and handling of 5' read truncation when applied to plant dRNA-seq data.
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Has reproduction · 58
iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data.
PMID 35899080 · PMC9310080 · NAR genomics and bioinformatics · 2022 · 8 claims · 4 setups
iCOMIC provides a GUI-driven, Snakemake-based pipeline integrating multiple tools for DNA-Seq and RNA-Seq analysis with minimal command-line interaction.
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Full-text index only
BLIT: an R package for seamless integration of command-line bioinformatics tool universe.
PMID 42164079 · PMC13183670 · Bioinformatics advances · 2026 · 8 claims · 5 setups
BLIT provides a unified R6-based framework for seamless integration of command-line bioinformatics tools within R, replacing fragile string-based system() calls.