ArticleHLA2025
Comprehensive Profiling of Computational Techniques for Sequencing-Based HLA Immune Signatures Extraction.
Article in HLA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- ImmuSeeker: deep mining of immune-related gene family signatures through lineage reconstruction.Genome biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
HLA typing is crucial for clinical and research applications, including transplantation, disease association studies and personalised medicine. This study provides an in-depth analysis of five key challenges in computational HLA typing methods: varying lengths, high polymorphism, complex phylogenetic structures, high sequence similarity and the requirement for frequent updates. This study evaluates 27 computation-based HLA typing tools developed over the past 12 years, using a novel sequencing dataset of A549 cell lines with matched short-read RNA-Seq and long-read Iso-Seq data. We comprehensively investigated these 27 tools in terms of accessibility, capability, reliability, reproducibility, scalability and performance. In addition, we discuss the advantages and disadvantages of current tools and identify critical areas for future research and development to advance HLA typing technologies.
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.