ISSN: 0974-276X
Enterprise Science and Computing Inc., 1801 Research Blvd, Suite 500, Rockville, MD 20850, USA
Skilled and dedicated Bioinformatics Scientist with an extensive background in molecular biology, knowledge of diverse genomic databases, and familiarity of various programming languages(ex: Python, Perl, R) and the Linux operating system. Contains 4 years of research experience in data mining and quality control, conducting sequence analysis of next generation sequencing for cancer and infectious diseases studies, observing cervical cancer cell lines, and development of a T-cell epitope vaccine.
Research Article
Sharing Data from an Academic Cancer Center Biospecimen and Proteomic Core Facilities through the Proteomics Data Commons
Author(s): Peter McGarvey*, Ratna R Thangudu, Junfeng Ma, Ci Wu, Shabeeb Kannattikuni, Krysta M Chaldekas, Deborah L Berry, Alicia Francis, Deepak Singhal, Paul A Rudnick, Anand Basu and Subha Madhavan
Data sharing is critical for open science and often required by funding organizations and journals. NCI has developed
the Proteomics Data Commons (PDC) as part of the Cancer Research Data Commons, an infrastructure that allows
users to share, analyze, and store results, utilizing the storage and compute resources of the cloud. To date most
of the data available in the various Data Commons are submitted from large multi-institution research programs
funded by NCI with teams of specialists from multiple scientific disciplines. Here we describe our experiences
and summarize the recommended best practices for sharing a set of proteomics and related biospecimen data and
analyses results from smaller scale proteomics studies conducted in an academic medical center core facility using
patient samples of lung adenocarcinoma. Mapping and depositing data in the manner descr.. View More»
DOI:
10.35248/0974-276X.21.14.529