Next, the contents of the normal and stress - exposed exosomes were characterized and compared using various molecular and cellular biologic techniques, proteomics analysis followed
by bioinformatics analyses.
Identification of a human papillomavirus - associated oncogenic miRNA panel in human oropharyngeal squamous cell carcinoma validated
by bioinformatics analysis of the Cancer Genome Atlas.
Not exact matches
Cross-referencing data and integrating computational tools into the online ViPR resource allows complex
analyses to be easily performed
by researchers regardless of their
bioinformatics training or expertise.
Our
bioinformatics team is developing ways to solve the unique data
analysis challenges created
by high throughput sequencing of environmental samples and biological collections.
Engineered cells are then validated via next - generation sequencing and
analysis of the modified genomic loci with custom analytical tools developed
by our
bioinformatics team.
The protein encoded
by W01A8.1 in C. elegans is identified as Mediator Complex subunit 28 (MDT - 28) in many protein databases (e.g., Pfam, UniProt, PIR, WormPep)(accessed on March 14, 2015), but the
bioinformatics analysis reveals that this is a misannotation.
This «turnkey system» will be flexible and powerful enough to be adopted
by experienced laboratories, and user - friendly enough to give push - button
analysis capabilities to groups with little
bioinformatics expertise.
We report unbiased metagenomic detection of chikungunya virus (CHIKV), Ebola virus (EBOV), and hepatitis C virus (HCV) from four human blood samples
by MinION nanopore sequencing coupled to a newly developed, web - based pipeline for real - time
bioinformatics analysis on a computational server or laptop (MetaPORE).
Data
analysis will be fully supported
by moonshot genomic
bioinformatics team led
by Dr. Jianhua Zhang (713-792-6807) in the form of paid service.
We report unbiased metagenomic detection of chikungunya virus (CHIKV), Ebola virus (EBOV), and hepatitis C virus (HCV) from four human blood samples
by MinION nanopore sequencing coupled to a newly developed, web - based pipeline for real - time
bioinformatics analysis on a computational server or la
The statistical and
bioinformatics analyses were conducted
by using R and the bioconductor package (www.bioconductor.org).
By using novel strategies of data acquisition and
analysis, writing my own algorithms for data
analysis, and of course also using existing
bioinformatics knowledge to the best of my capabilities, I was able to successfully contribute to the advancement of microalgal and fungal
bioinformatics and systems biology research.