ReviewMethods in molecular biology (Clifton, N.J.)2021
Processing and Analysis of RNA-seq Data from Public Resources.
Review in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Article
- Prognostic and immunological potential of AC012236.1/hsa-miR-30d-5p CeRNA of AVEN by integrated analysis of single-cell and bulk RNA-seq in lung adenocarcinoma.Scientific reports · 2025Article
- Transcriptomic Profile of Perineural Invasion in Prostate Cancer Identifies Prognostic Gene Signatures.Biomedicines · 2025Article
- Interplay of GPC3, Hsa-miR-135b-3p, and FTLP3 in lung cancer metastasis.Clinical & experimental metastasis · 2025Article
- CXCL14 in prostate cancer: complex interactions in the tumor microenvironment and future prospects.Journal of translational medicine · 2025Review
- Reliable RNA-seq analysis from FFPE specimens as a means to accelerate cancer-related health disparities research.PloS one · 2025Article
- Cytokine interactions and chemokine dysregulations in mastitis immunopathogenesis: insights from transcriptomic profiling of milk somatic cells in tropical Sahiwal (Frontiers in immunology · 2025Article
- Circular RNAs in human diseases.MedComm · 2024Review
- Identification of allograft inflammatory factor-1 suppressing the progression and indicating good prognosis of osteosarcoma.BMC musculoskeletal disorders · 2024Article
- Transcriptome Analysis Reveals the Molecular Mechanisms of BR Negative Regulatory Factor StBIN2 Maintaining Tuber Dormancy.International journal of molecular sciences · 2024Article
- MicroRNA-329-3p inhibits the Wnt/β-catenin pathway and proliferation of osteosarcoma cells by targeting transcription factor 7-like 1.Oncology research · 2024Article
- The function and mechanisms of action of circular RNAs in Urologic Cancer.Molecular cancer · 2023Review
- Comparative Analysis of the Liver Transcriptome of Beijing You Chickens and Guang Ming Broilers underMicroorganisms · 2022Article
- Angiogenesis-related gene signatures reveal the prognosis of cervical cancer based on single cell sequencing and co-expression network analysis.Frontiers in cell and developmental biology · 2022Article
- Article
- RKC-B1 Blocks Activation of NF-κB and NLRP3 Signaling Pathways to Suppress Neuroinflammation in LPS-Stimulated Mice.Marine drugs · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in next generation sequencing (NGS) technologies resulted in a broad array of large-scale gene expression studies and an unprecedented volume of whole messenger RNA (mRNA) sequencing data, or the transcriptome (also known as RNA sequencing, or RNA-seq). These include the Genotype Tissue Expression project (GTEx) and The Cancer Genome Atlas (TCGA), among others. Here we cover some of the commonly used datasets, provide an overview on how to begin the analysis pipeline, and how to explore and interpret the data provided by these publicly available resources.
Indexed as
Identifiers
33606253What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.