title: CRISP-ID: decoding CRISPR mediated indels by Sanger sequencing.
abstract: The advent of next generation gene editing technologies has revolutionized the fields of genome engineering in allowing the generation of gene knockout models and functional gene analysis. However, the screening of resultant clones remains challenging due to the simultaneous presence of different indels. Here, we present CRISP-ID, a web application which uses a unique algorithm for genotyping up to three alleles from a single Sanger sequencing trace, providing a robust and readily accessible platform to directly identify indels and significantly speed up the characterization of clones.
authors.affiliation: Laboratory of Lipid Metabolism and Cancer, Department of Oncology, KU Leuven, 3000 Leuven, Belgium.
authors.forename: Jonas
authors.initials: J
authors.lastname: Dehairs
authors.affiliation: Laboratory of Lipid Metabolism and Cancer, Department of Oncology, KU Leuven, 3000 Leuven, Belgium.
authors.forename: Ali
authors.initials: A
authors.lastname: Talebi
authors.affiliation: genOway, Lyon F69007, France.
authors.forename: Yacine
authors.initials: Y
authors.lastname: Cherifi
authors.affiliation: Laboratory of Lipid Metabolism and Cancer, Department of Oncology, KU Leuven, 3000 Leuven, Belgium.
authors.forename: Johannes V
authors.initials: JV
authors.lastname: Swinnen
mesh_terms: D000465:Algorithms; D064113:CRISPR-Cas Systems; D000072669:Gene Editing / Q000379:methods*; D054643:INDEL Mutation; D020407:Internet; D017422:Sequence Analysis, DNA / Q000379:methods*