ArticleF1000Research2018
SeqAcademy: an educational pipeline for RNA-Seq and ChIP-Seq analysis.
Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- RareInsight simplifies the communication of genetic results for rare disease patients.Scientific reports · 2025Article
- Efficient and easy gene expression and genetic variation data analysis and visualization using exvar.Scientific reports · 2025Article
- Enhanced deep Convolutional Neural Network for SARS-CoV-2 variants classification.Frontiers in artificial intelligence · 2025Article
- TargetingFrontiers in bioinformatics · 2025Article
- Investigating antimicrobial resistance genes in Kenya, Uganda and Tanzania cattle using metagenomics.PeerJ · 2024Article
- Prostruc: an open-source tool for 3D structure prediction using homology modeling.Frontiers in chemistry · 2024Article
- Machine learning and molecular docking prediction of potential inhibitors against dengue virus.Frontiers in chemistry · 2024Article
- SeqAcademy: an educational pipeline for RNA-Seq and ChIP-Seq analysis.F1000Research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantification of gene expression and characterization of gene transcript structures are central problems in molecular biology. RNA sequencing (RNA-Seq) and chromatin immunoprecipitation sequencing (ChIP-Seq) are important methods, but can be cumbersome and difficult for beginners to learn. To teach interested students and scientists how to analyze RNA-Seq and ChIP-Seq data, we present a start-to-finish tutorial for analyzing RNA-Seq and ChIP-Seq data: SeqAcademy (
Indexed as
Identifiers
What 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.