Associated Papers
A scalable approach to resolving variants of uncertain significance.
Tejura M et al.
Biorxiv : the Preprint Server for Biology, 2026
41727046 (PubMed )
Supplement: media-7.xlsx › VarChAMP_data_supp_mat_PP
Combined MITOchondrial-NUCLEAR (MITO-NUCLEAR) Analysis for Mitochondrial Diseases Diagnosis: Validation and Implementation of a One-Step NGS Method.
Barretta F et al.
Genes, 2023
37239447 (PubMed )
Supplement: genes-14-01087-s001.zip › Supplementary_Table_S1_S1.xlsx › CASE_REPORT___MITNGS22_03_
Genetic analysis of patients with fructose-1,6-bisphosphatase deficiency.
Pinheiro FC et al.
Gene, 2019
Clinical and Molecular Characterization of Patients with Fructose 1,6-Bisphosphatase Deficiency.
Li N et al.
International Journal of Molecular Sciences, 2017
A summary of molecular genetic findings in fructose-1,6-bisphosphatase deficiency with a focus on a common long-range deletion and the role of MLPA analysis.
Santer R et al.
Orphanet Journal of Rare Diseases, 2016
The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing data.
Tang X et al.
Nucleic Acids Research, 2014
25352556 (PubMed )
Supplement: supp_gku1005_nar-01266-met-n-2014-File012.xlsx › TCGA-A2-A04Y-01A.domain
Transient pseudo-hypertriglyceridemia: a useful biochemical marker of fructose-1,6-bisphosphatase deficiency.
Afroze B et al.
European Journal of Pediatrics, 2013
Proteome-wide analysis of amino acid variations that influence protein lysine acetylation.
Suo SB et al.
Journal of Proteome Research, 2013
23298314 (PubMed )
Supplement: pr301007j_si_006.pdf
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