Cargando…
Discovering the Unknown: Improving Detection of Novel Species and Genera from Short Reads
High-throughput sequencing technologies enable metagenome profiling, simultaneous sequencing of multiple microbial species present within an environmental sample. Since metagenomic data includes sequence fragments (“reads”) from organisms that are absent from any database, new algorithms must be dev...
Autores principales: | Rosen, Gail L., Polikar, Robi, Caseiro, Diamantino A., Essinger, Steven D., Sokhansanj, Bahrad A. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3085467/ https://www.ncbi.nlm.nih.gov/pubmed/21541181 http://dx.doi.org/10.1155/2011/495849 |
Ejemplares similares
-
Metagenome Fragment Classification Using N-Mer Frequency Profiles
por: Rosen, Gail, et al.
Publicado: (2008) -
Complet+: a computationally scalable method to improve completeness of large-scale protein sequence clustering
por: Nguyen, Rachel, et al.
Publicado: (2023) -
Signal Processing for Metagenomics: Extracting Information from the Soup
por: Rosen, Gail L., et al.
Publicado: (2009) -
Mapping Data to Deep Understanding: Making the Most of the Deluge of SARS-CoV-2 Genome Sequences
por: Sokhansanj, Bahrad A., et al.
Publicado: (2022) -
Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning
por: Sokhansanj, Bahrad A., et al.
Publicado: (2022)