Cargando…
Zseq: An Approach for Preprocessing Next-Generation Sequencing Data
Next-generation sequencing technology generates a huge number of reads (short sequences), which contain a vast amount of genomic data. The sequencing process, however, comes with artifacts. Preprocessing of sequences is mandatory for further downstream analysis. We present Zseq, a linear method that...
Autores principales: | Alkhateeb, Abedalrhman, Rueda, Luis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5563921/ https://www.ncbi.nlm.nih.gov/pubmed/28414515 http://dx.doi.org/10.1089/cmb.2017.0021 |
Ejemplares similares
-
Transcriptomics Signature from Next-Generation Sequencing Data
Reveals New Transcriptomic Biomarkers Related to Prostate Cancer
por: Alkhateeb, Abedalrhman, et al.
Publicado: (2019) -
Assessing the Impact of Data Preprocessing on Analyzing Next Generation Sequencing Data
por: He, Binsheng, et al.
Publicado: (2020) -
FastProNGS: fast preprocessing of next-generation sequencing reads
por: Liu, Xiaoshuang, et al.
Publicado: (2019) -
Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data
por: Hamzeh, Osama, et al.
Publicado: (2020) -
Classification of Breast Cancer Nottingham Prognostic Index Using High-Dimensional Embedding and Residual Neural Network
por: Zhou, Li, et al.
Publicado: (2022)