ArticleResearch in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- )2017
A concurrent subtractive assembly approach for identification of disease associated sub-metagenomes.
Article in Research in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- ), 2017. 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
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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.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Comprehensive in silico analysis of eggNOG-annotated orthologous genes infers functional dynamics and energy metabolism in the microbiome of Abutilon fruticosum.BMC plant biology · 2026Article
- Locality-Sensitive Hashing-Based k-Mer Clustering for Identification of Differential Microbial Markers Related to Host Phenotype.Journal of computational biology : a journal of computational molecular cell biology · 2022Article
- Machine Learning and Deep Learning Applications in Metagenomic Taxonomy and Functional Annotation.Frontiers in microbiology · 2022Review
- Information Theoretic Metagenome Assembly Allows the Discovery of Disease Biomarkers in Human Microbiome.Entropy (Basel, Switzerland) · 2021Article
- KmerGO: A Tool to Identify Group-Specific Sequences WithFrontiers in microbiology · 2020Article
- MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction.Methods (San Diego, Calif.) · 2019Article
- A repository of microbial marker genes related to human health and diseases for host phenotype prediction using microbiome data.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2019Article
- IdentifyingFrontiers in microbiology · 2018Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Comparative analysis of metagenomes can be used to detect sub-metagenomes (species or gene sets) that are associated with specific phenotypes (e.g., host status). The typical workflow is to assemble and annotate metagenomic datasets individually or as a whole, followed by statistical tests to identify differentially abundant species/genes. We previously developed subtractive assembly (SA), a
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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.