ReviewProceedings of the American Thoracic Society2007
Computational approaches to phenotyping: high-throughput phenomics.
Review in Proceedings of the American Thoracic Society, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 61 citations in OpenAlex.
- Data Interoperability and Harmonization in Cardiovascular Genomic and Precision Medicine.Circulation. Genomic and precision medicine · 2025Review
- Building a knowledge graph to enable precision medicine.Scientific data · 2023Article
- Using pose estimation to identify regions and points on natural history specimens.PLoS computational biology · 2023Article
- Phenomics as an approach to Comparative Developmental Physiology.Frontiers in physiology · 2023Article
- Data Science for Child Health.The Journal of pediatrics · 2019Review
- Common Variable Immunodeficiency Non-Infectious Disease Endotypes Redefined Using Unbiased Network Clustering in Large Electronic Datasets.Frontiers in immunology · 2017Article
- Whole-Organism Cellular Pathology: A Systems Approach to Phenomics.Advances in genetics · 2016Review
- Identifying and mitigating biases in EHR laboratory tests.Journal of biomedical informatics · 2014Article
- Using flatbed scanners to collect high-resolution time-lapsed images of the arabidopsis root gravitropic response.Journal of visualized experiments : JoVE · 2014Article
- Systems Epidemiology: What's in a Name?Online journal of public health informatics · 2014Article
- Identification of homogeneous genetic architecture of multiple genetically correlated traits by block clustering of genome-wide associations.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2011Article
- SHIRAZ: an automated histology image annotation system for zebrafish phenomics.Multimedia tools and applications · 2011Article
- A high throughput semantic concept frequency based approach for patient identification: a case study using type 2 diabetes mellitus clinical notes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010Article
- Genome-wide pleiotropy of osteoporosis-related phenotypes: the Framingham Study.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2010Article
- Computer aided data acquisition tool for high-throughput phenotyping of plant populations.Plant methods · 2009Article
- Mechanism-anchored profiling derived from epigenetic networks predicts outcome in acute lymphoblastic leukemia.BMC bioinformatics · 2009Article
- Analysis of AML genes in dysregulated molecular networks.BMC bioinformatics · 2009Article
- Automated multidimensional phenotypic profiling using large public microarray repositories.Proceedings of the National Academy of Sciences of the United States of America · 2009Article
- Analysis of AML Genes in Dysregulated Molecular Networks.Summit on translational bioinformatics · 2009Article
- The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease.American journal of human genetics · 2008Article
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 at 1 institution in 1 country.
Funding
Abstract
The recent completion of the Human Genome Project has made possible a high-throughput "systems approach" for accelerating the elucidation of molecular underpinnings of human diseases, and subsequent derivation of molecular-based strategies to more effectively prevent, diagnose, and treat these diseases. Although altered phenotypes are among the most reliable manifestations of altered gene functions, research using systematic analysis of phenotype relationships to study human biology is still in its infancy. This article focuses on the emerging field of high-throughput phenotyping (HTP) phenomics research, which aims to capitalize on novel high-throughput computation and informatics technology developments to derive genomewide molecular networks of genotype-phenotype associations, or "phenomic associations." The HTP phenomics research field faces the challenge of technological research and development to generate novel tools in computation and informatics that will allow researchers to amass, access, integrate, organize, and manage phenotypic databases across species and enable genomewide analysis to associate phenotypic information with genomic data at different scales of biology. Key state-of-the-art technological advancements critical for HTP phenomics research are covered in this review. In particular, we highlight the power of computational approaches to conduct large-scale phenomics studies.
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.