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EYEG2P: an Automated Variant Filtering Approach Improves Efficiency of Diagnostic Genomic Testing for Inherited Ophthalmic Disorders

AuthID
P-00X-XE1

Author(s)

Lenassi, E

Carvalho, A

Thormann, A

Abrahams, L

Arno, G

Fletcher, T

Hardcastle, C

Lopez, J

Hunt, SE

Short, P

Sergouniotis, PI

Michaelides, M

Webster, A

Cunningham, F

Ramsden, SC

Kasperaviciute, D

Fitzpatrick, DR

Genomics England Res Consortium

Black, GC

Ellingford, JM

Document Type

Article in Press

Year published

2023

Published

in JOURNAL OF MEDICAL GENETICS, ISSN: 0022-2593

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Wos^®

Scopus^®

Pubmed^®

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Metadata
Sources

Publication Identifiers

DOI: 10.1136/jmg-2022-108618

Pubmed: 36669873

Scopus: 2-s2.0-85148677095

Wos: WOS:000917913000001

Source Identifiers

ISSN: 0022-2593

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EYEG2P: an Automated Variant Filtering Approach Improves Efficiency of Diagnostic Genomic Testing for Inherited Ophthalmic Disorders

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EYEG2P: an Automated Variant Filtering Approach Improves Efficiency of Diagnostic Genomic Testing for Inherited Ophthalmic Disorders

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