BIOL2127 – Advanced Bioinformatics 2015 Jimmy Tai Huynh – s3430770 Sequence no. #43
osteopontin was the most consistently overexpressed gene in intrahepatic cholangiocarcinoma (Hass et al. ,2008). In this work, we have ana¬lyzed microarray data to identify differential expressed genes between malignant and benign biliary stricture and association of these genes with liver cancer using a computational bioinformatics analysis. These genes may be possible targets for future drug design or identification of cholangiocarcinoma
various underlying factors ranging from genetic and genomic influences to environmental effects. Recent advancements in high throughput data collection technologies in bioinformatics have resulted in a dramatic increase in diverse data sets that can provide information about such factors related to diseases. These types of data include DNA microarrays providing cellular information, Single Nucleotide Polymorphisms (SNPs) providing genetic information, metabolomics data in terms of proteins and other
At present, there are no experimental models allowing direct interactions between Cn and neurons. Macrophages, on the other hand, play an important role in the early immune response against Cn and a macrophage-like J774A.1 cell line model is available for studying the Cn-macrophage interaction [51]. When appropriately stimulated, macrophage-like J774A.1 cells exhibit measurable parameters in uptake, ingestion, and clearance or lysis of fungal cells that correlate with in vivo infection outcomes.
Chapter 2: Background and Related Work Methylation analysis plays an important role in bioinformatics area. It modifies the functions of DNA and leads to alter the functions of genes in cells. These changes are unidirectional. Hence, doing research on methylation analysis potentially explain that how complex organisms characterized by the surprisingly low number of genes (Sette, Ladomery, & Ghigna, 2013). Marine algae species were chosen to do the research, because they are ecologically important
and Aidong Zhang∗ ∗ Computer Science and Engineering Department State University of New York at Buffalo, Buffalo, U.S.A nandu,xiaoyili,azhang@buffalo.edu † College of Electronic Information and Control Engineering Beijing University of Technology Beijing, China zhangyuan@emails.bjut.edu.cn Abstract—Discovering functional gene clusters based on gene expression data has been a widely-used method that offers a tremendous opportunity for understanding the functional genomics of a specific
Introduction Since the discovery of the small RNA lin-4 in 1993 (Lee et al., 1993; Wightman et al., 1993), it has become evident that the miRNA machinery regulates many proteins and almost all cellular pathways (Pasquinelli et al., 2005; Stark et al., 2007; Filipowicz et al., 2008; Friedman et al., 2009). miRNAs are 20-23 nucleotide (nt) long RNA sequences encoded by genomic DNA (Bartel, 2004). After transcription, the RNA sequence destined to become a miRNA folds into a hairpin structure called
databases and specialized, MS-based proteomics applied advances in numerous ranges, most prominently in the disclosure and improvement of protein ionization techniques. For protein portrayal mass spectrometry (MS) uses mass investigation. Although DNA microarray innovation is taking into account an exceptionally delicate and particular hybridization response between nucleic acid sections, basic constraints of biological MS (1) require a few separate ways to deal with protein examination. Usage of the procedures
Introduction Mohan Trikha had a vision to maximize the value of two of Xerox PARC technologies: visualization and linguistics, both which were 20 years in the making. Trikha attempted to embed these technologies in as many applications as possible through the creation of a Xerox New Enterprise (XNE), Inxight. His objective was to demonstrate to the Xerox management team through a business plan, the feasibility and profitability of such a spin-out, as well as the validity in its creation to support
Quiz # 2 on lectures 3, 4, and including Chapter 2 1. Difference occurs in the sequence of long chain molecules and becomes information in biological organisms. ‘Life’ assembles itself into chains: (A) of RNA (B) all of the answers are correct (C) of DNA (D) of protein (E) none of these answers are correct 2. Which of the following foods is not a significant source of complex carbohydrates? (A) fresh fruit (B) rice (C) pasta (D) oatmeal (E) all of the above are significant