IS-Seq: a bioinformatics pipeline for integration sites analysis with comprehensive abundance quantification methods.

Yan, Aimin; Baricordi, Cristina; Nguyen, Quoc; Barbarossa, Luigi; Loperfido, Mariana; Biasco, Luca

Yan, Aimin; Baricordi, Cristina; Nguyen, Quoc; Barbarossa, Luigi; Loperfido, Mariana; Biasco, Luca.

Affiliation

Yan A; AVROBIO, Inc., Cambridge, MA, USA.
Baricordi C; AVROBIO, Inc., Cambridge, MA, USA.
Nguyen Q; AVROBIO, Inc., Cambridge, MA, USA.
Barbarossa L; AVROBIO, Inc., Cambridge, MA, USA.
Loperfido M; AVROBIO, Inc., Cambridge, MA, USA.
Biasco L; AVROBIO, Inc., Cambridge, MA, USA. l.biasco@ucl.ac.uk.

BMC Bioinformatics ; 24(1): 286, 2023 Jul 18.

Article in En | MEDLINE | ID: mdl-37464281

Subject(s)

Computational Biology; High-Throughput Nucleotide Sequencing; High-Throughput Nucleotide Sequencing/methods; Sequence Analysis, DNA; Genetic Vectors

Key words

Abundance estimation; Fragment-length based; IS-Seq; Integration site analysis; Read-based; UMI-based

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / High-Throughput Nucleotide Sequencing Language: En Journal: BMC Bioinformatics Year: 2023 Document type: Article

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