Cargando…
MODMatcher: Multi-Omics Data Matcher for Integrative Genomic Analysis
Errors in sample annotation or labeling often occur in large-scale genetic or genomic studies and are difficult to avoid completely during data generation and management. For integrative genomic studies, it is critical to identify and correct these errors. Different types of genetic and genomic data...
Autores principales: | Yoo, Seungyeul, Huang, Tao, Campbell, Joshua D., Lee, Eunjee, Tu, Zhidong, Geraci, Mark W., Powell, Charles A., Schadt, Eric E., Spira, Avrum, Zhu, Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133046/ https://www.ncbi.nlm.nih.gov/pubmed/25122495 http://dx.doi.org/10.1371/journal.pcbi.1003790 |
Ejemplares similares
-
A probabilistic multi-omics data matching method for detecting sample errors in integrative analysis
por: Lee, Eunjee, et al.
Publicado: (2019) -
Integrative Analysis of DNA Methylation and Gene Expression Data Identifies EPAS1 as a Key Regulator of COPD
por: Yoo, Seungyeul, et al.
Publicado: (2015) -
Integrating epigenetic data into molecular casual networks
por: Yoo, Seungyeul, et al.
Publicado: (2014) -
PhenoDB, GeneMatcher and VariantMatcher, tools for analysis and sharing of sequence data
por: Wohler, Elizabeth, et al.
Publicado: (2021) -
Thermodynamic matchers for the construction of the cuckoo RNA family
por: Reinkensmeier, Jan, et al.
Publicado: (2015)