Not exact matches
Eager to sort through the pile of curriculum vitae's
on his desk, Rudnicki is particularly looking for molecular geneticists working
on different stem cell systems; scientists with genomics bents like
proteomics, microarray
analysis, and bioinformatics; and a couple of clinician scientists.
Our guest published a historic paper less than one month ago (available here), describing the first comprehensive study of an individual, combining genomic (genome sequence), transcriptomic (genes turned
on / off),
proteomic (the total complement of proteins - or protein profiles), metabolomic (complete metabolic
analysis), and autoantibody profiles.
Proteomics (Fagerberg et al, «Analysis of the human tissue - specific expression by genome - wide integration of transcriptomics and antibody - based proteomics») with a focus in the article on the tissue - specific pattern in the h
Proteomics (Fagerberg et al, «
Analysis of the human tissue - specific expression by genome - wide integration of transcriptomics and antibody - based
proteomics») with a focus in the article on the tissue - specific pattern in the h
proteomics») with a focus in the article
on the tissue - specific pattern in the human body.
He is currently collaborating with researchers in the lab
on various projects related to HIV and ZIKA, including
analyses regarding genomics, transcriptomics, and
proteomics.
He has also been leading statistical data
analysis for the Broad Institute's Proteome Characterization Center and Proteogenomic Data Analysis Center established under the National Cancer Institute Clinical Proteomics Tumor Analysis Consortium (CPTAC), focusing on proteogenomic analysis of proteomic, phosphoproteomic, and genomic data derived from cancer
analysis for the Broad Institute's Proteome Characterization Center and Proteogenomic Data
Analysis Center established under the National Cancer Institute Clinical Proteomics Tumor Analysis Consortium (CPTAC), focusing on proteogenomic analysis of proteomic, phosphoproteomic, and genomic data derived from cancer
Analysis Center established under the National Cancer Institute Clinical
Proteomics Tumor
Analysis Consortium (CPTAC), focusing on proteogenomic analysis of proteomic, phosphoproteomic, and genomic data derived from cancer
Analysis Consortium (CPTAC), focusing
on proteogenomic
analysis of proteomic, phosphoproteomic, and genomic data derived from cancer
analysis of
proteomic, phosphoproteomic, and genomic data derived from cancer samples.
«The
proteomics field is now entering a third generation phase where large - scale protein
analysis will provide unique quantifiable data
on a subcellular level «says one of the participants in the EU funded PROSPECTS project Dr. Emma Lundberg from the Science for Life Laboratory Stockholm.
His recent research has focused
on the design and implementation of innovative algorithms to enable proteogenomic data
analysis, pattern - based discovery of
proteomic biomarker candidates, evaluation of data quality, assessment of variability and reproducibility in mass spectrometry based assays, and data visualization.
His work focuses
on the application of computational methods to the
analysis of
proteomics data, ranging from proteogenomics and biomarker discovery to the targeted measurement and quantification of specific proteins.