Ontology highlight
ABSTRACT:
SUBMITTER: Gao GF
PROVIDER: S-EPMC6707074 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature
Gao Galen F GF Parker Joel S JS Reynolds Sheila M SM Silva Tiago C TC Wang Liang-Bo LB Zhou Wanding W Akbani Rehan R Bailey Matthew M Balu Saianand S Berman Benjamin P BP Brooks Denise D Chen Hu H Cherniack Andrew D AD Demchok John A JA Ding Li L Felau Ina I Gaheen Sharon S Gerhard Daniela S DS Heiman David I DI Hernandez Kyle M KM Hoadley Katherine A KA Jayasinghe Reyka R Kemal Anab A Knijnenburg Theo A TA Laird Peter W PW Mensah Michael K A MKA Mungall Andrew J AJ Robertson A Gordon AG Shen Hui H Tarnuzzer Roy R Wang Zhining Z Wyczalkowski Matthew M Yang Liming L Zenklusen Jean C JC Zhang Zhenyu Z Liang Han H Noble Michael S MS
Cell systems 20190701 1
We present a systematic analysis of the effects of synchronizing a large-scale, deeply characterized, multi-omic dataset to the current human reference genome, using updated software, pipelines, and annotations. For each of 5 molecular data platforms in The Cancer Genome Atlas (TCGA)-mRNA and miRNA expression, single nucleotide variants, DNA methylation and copy number alterations-comprehensive sample, gene, and probe-level studies were performed, towards quantifying the degree of similarity bet ...[more]