TY  - GEN
AB  - Public omics datasets from sequencing and array-based platforms now amount to millions of samples across thousands of studies and projects. This wealth of data is difficult to access and analyze due to heterogeneous and incomplete metadata, varying assay quality, and limited amounts of raw data provided for certain platforms. Despite this, accessing and reusing public omics data is an economical and prudent means of planning and conducting new experiments.
AU  - Maden, Sean K.
DA  - 2022
DO  - 10.6083/rx913q57p
DO  - DOI
ID  - 9701
KW  - Computational Biology
KW  - Epigenomics
KW  - Genomics
KW  - bioinformatics
KW  - meta-analysis
L1  - https://digitalcollections.ohsu.edu/record/9701/files/Maden.Sean.2022.pdf
L2  - https://digitalcollections.ohsu.edu/record/9701/files/Maden.Sean.2022.pdf
L4  - https://digitalcollections.ohsu.edu/record/9701/files/Maden.Sean.2022.pdf
LK  - https://digitalcollections.ohsu.edu/record/9701/files/Maden.Sean.2022.pdf
N2  - Public omics datasets from sequencing and array-based platforms now amount to millions of samples across thousands of studies and projects. This wealth of data is difficult to access and analyze due to heterogeneous and incomplete metadata, varying assay quality, and limited amounts of raw data provided for certain platforms. Despite this, accessing and reusing public omics data is an economical and prudent means of planning and conducting new experiments.
PB  - Oregon Health and Science University
PY  - 2022
T1  - Applications of public omics data
TI  - Applications of public omics data
UR  - https://digitalcollections.ohsu.edu/record/9701/files/Maden.Sean.2022.pdf
Y1  - 2022
ER  -