RT Journal Article
T1 tagFinder: A Novel Tag Analysis Methodology That Enables Detection of Molecules from DNA-Encoded Chemical Libraries
A1 Amigo, Jorge
A1 Rama-Garda, Ramón
A1 Bello, Xabier
A1 Sobrino, Beatriz
A1 Blas, Jesús de
A1 Martín-Ortega, María
A1 Jessop, Theodore C.
A1 Carracedo Álvarez, Ángel
A1 Loza García, María Isabel
A1 Domínguez Medina, Eduardo
K1 DNA-encoded chemical libraries
K1 Algorithm
K1 Sequencing
K1 Tag
K1 Affinity selection
AB Available tools to analyze sequencing data coming from DNA-encoded chemical libraries (DELs) are often limited to in-house methods, which usually rely on strictly looking for the particular DEL structure used. Current methods do not take into account technological errors, such as library codification and sequencing errors, when detecting the sequences. The vast amount of data produced by next-generation sequencing of DEL screens is usually enough to extract the minimum information needed for compound identification. Here, we report a methodology to deconvolute encoding oligonucleotides, thus optimizing the sequencing power regardless of the library size, design complexity, or sequencing technology chosen. tagFinder is a highly flexible tool for fast tag detection and thorough DEL results characterization, which requires minimal hardware resources, scales linearly, and does not introduce any analytical error. The methodology can even deal with sequencing errors and PCR duplicates on single- or double-stranded DNA, enhancing the analytical detection and quantification of molecules and the informativeness of the entire process. Source code is available at https://github.com/jamigo/tagFinder.
PB Elsevier
YR 2018
FD 2018-06
LK https://hdl.handle.net/10347/45347
UL https://hdl.handle.net/10347/45347
LA eng
NO SLAS Discovery Volume 23, Issue 5, June 2018, Pages 397-404
DS Minerva
RD 28 abr 2026