IMSEQ--a fast and error aware approach to immunogenetic sequence analysis.
Kuchenbecker, Leon; Nienen, Mikalai; Hecht, Jochen; Neumann, Avidan U; Babel, Nina; Reinert, Knut; Robinson, Peter N.
; 31(18): 2963-71, 2015 Sep 15.
Artigo em Inglês | MEDLINE | ID: mdl-25987567
Statistical inference of the generation probability of T-cell receptors from sequence repertoires.
UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy.
Profiling the T-cell receptor beta-chain repertoire by massively parallel sequencing.
Optimizing and evaluating the reconstruction of Metagenome-assembled microbial genomes.
poRe: an R package for the visualization and analysis of nanopore sequencing data.
A modified sequence capture approach allowing standard and methylation analyses of the same enriched genomic DNA sample.
Poretools: a toolkit for analyzing nanopore sequence data.
Enabling precision medicine via standard communication of HTS provenance, analysis, and results.
ACE: accurate correction of errors using K-mer tries.
Unique, dual-indexed sequencing adapters with UMIs effectively eliminate index cross-talk and significantly improve sensitivity of massively parallel sequencing.