ArticleJournal of medical systems2012
Integrating human genome database into electronic health record with sequence alignment and compression mechanism.
Article in Journal of medical systems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Multi-Tissue Transcriptomics Analysis of the Effects of Ammonia Nitrogen Stress on Metabolism, Immunity, and Comprehensive Stress Responses inAnimals : an open access journal from MDPI · 2026Article
- Transcriptomics Reveals the Molecular Basis for Methyl Jasmonate to Promote the Synthesis of Monoterpenoids inCurrent issues in molecular biology · 2023Article
- Electronic Health Records: Then, Now, and in the Future.Yearbook of medical informatics · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the initial completion of Human Genome Project, the post-genomic era is coming. Although the genome map of human has been decoded, the roles that each segment of sequences acts are not totally discovered. On the other hand, with the rapid expansion of sequence information, the issues of data compilation and data storage are increasingly important. In this paper, a "Human genome database system" is designed and implemented in National Taiwan University Hospital (NTUH). By accessing this system, the doctors can store and manage the experimental sequence data. The achievement of this system is that it integrates the modules of sequence alignment and data compression. By embedding with the NCBI alignment program-blastall [1], it automatically aligns the uploaded sequences and searches for the corresponding genomic positions. Besides, the system encodes the differences between sequences, effectively compresses them and decreases the demand of storage spaces by the compression ratio at 12.28. At the same time, it offers a variety of query methods. Users can quickly access the interesting data by inputting the keywords of specimen number, GI and sequence position, etc. The electronic health record (EHR) in Health Information System (HIS) of NTUH is also combined in this system and the doctors can utilize the valuable information to figure out the relation between the diseases and genes. With this system, a genetic personal healthcare environment will be established in the future.
Indexed as
Identifiers
21559844What 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.