ArticleNAR genomics and bioinformatics2021
Kmerator Suite: design of specific
Article in NAR genomics and bioinformatics, 2021. 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.
- The ganglioside GD3 and its synthase (ST8SIA1) as novel senescence markers associated with osteoarthritis.GeroScience · 2026Article
- Reference-free RNA profiling predicts triple negative breast cancer chemoresistance to neoadjuvant treatment.NAR cancer · 2025Article
- Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning models.Scientific reports · 2025Article
- IMGTNAR genomics and bioinformatics · 2025Article
- A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024Review
- Transipedia.org: k-mer-based exploration of large RNA sequencing datasets and application to cancer data.Genome biology · 2024Article
- Effective requesting method to detect fusion transcripts in chronic myelomonocytic leukemia RNA-seq.NAR genomics and bioinformatics · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The huge body of publicly available RNA-sequencing (RNA-seq) libraries is a treasure of functional information allowing to quantify the expression of known or novel transcripts in tissues. However, transcript quantification commonly relies on alignment methods requiring a lot of computational resources and processing time, which does not scale easily to large datasets.
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.