Cargando…
Evaluating the effect of database inflation in proteogenomic search on sensitive and reliable peptide identification
BACKGROUND: Proteogenomics is a promising approach for various tasks ranging from gene annotation to cancer research. Databases for proteogenomic searches are often constructed by adding peptide sequences inferred from genomic or transcriptomic evidence to reference protein sequences. Such inflation...
Autores principales: | Li, Honglan, Joh, Yoon Sung, Kim, Hyunwoo, Paek, Eunok, Lee, Sang-Won, Hwang, Kyu-Baek |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259817/ https://www.ncbi.nlm.nih.gov/pubmed/28155652 http://dx.doi.org/10.1186/s12864-016-3327-5 |
Ejemplares similares
-
TIDD: tool-independent and data-dependent machine learning for peptide identification
por: Li, Honglan, et al.
Publicado: (2022) -
Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis
por: Wen, Bo, et al.
Publicado: (2020) -
MutCombinator: identification of mutated peptides allowing combinatorial mutations using nucleotide-based graph search
por: Choi, Seunghyuk, et al.
Publicado: (2020) -
Addressing Statistical
Biases in Nucleotide-Derived Protein Databases for Proteogenomic Search
Strategies
por: Blakeley, Paul, et al.
Publicado: (2012) -
Generation of ENSEMBL-based proteogenomics databases boosts the identification of non-canonical peptides
por: Umer, Husen M, et al.
Publicado: (2021)