Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
33,001
result(s) for
"Taylor, C"
Sort by:
Black is Beautiful
Black is Beautiful identifies and explores the most significant philosophical issues that emerge from the aesthetic dimensions of black life, providing a long-overdue synthesis and the first extended philosophical treatment of this crucial subject. * The first extended philosophical treatment of an important subject that has been almost entirely neglected by philosophical aesthetics and philosophy of art * Takes an important step in assembling black aesthetics as an object of philosophical study * Unites two areas of scholarship for the first time – philosophical aesthetics and black cultural theory, dissolving the dilemma of either studying philosophy, or studying black expressive culture * Brings a wide range of fields into conversation with one another– from visual culture studies and art history to analytic philosophy to musicology – producing mutually illuminating approaches that challenge some of the basic suppositions of each * Well-balanced, up-to-date, and beautifully written as well as inventive and insightful * Winner of The American Society of Aesthetics Outstanding Monograph Prize 2017
eBook
Mechanisms of MHC-I Downregulation and Role in Immunotherapy Response
Immunotherapy has become a key therapeutic strategy in the treatment of many cancers. As a result, research efforts have been aimed at understanding mechanisms of resistance to immunotherapy and how anti-tumor immune response can be therapeutically enhanced. It has been shown that tumor cell recognition by the immune system plays a key role in effective response to T cell targeting therapies in patients. One mechanism by which tumor cells can avoid immunosurveillance is through the downregulation of Major Histocompatibility Complex I (MHC-I). Downregulation of MHC-I has been described as a mechanism of intrinsic and acquired resistance to immunotherapy in patients with cancer. Depending on the mechanism, the downregulation of MHC-I can sometimes be therapeutically restored to aid in anti-tumor immunity. In this article, we will review current research in MHC-I downregulation and its impact on immunotherapy response in patients, as well as possible strategies for therapeutic upregulation of MHC-I.
Journal Article
The financial rules for new college graduates : invest before paying off debt and other tips your professors didn't teach you
\"An indispensable guide for any recent graduate that provides simple, easy-to-follow rules for making smart personal finance choices during the first decade of one's career\"-- Provided by publisher.
Book
Droplet Digital PCR versus qPCR for gene expression analysis with low abundant targets: from variable nonsense to publication quality data
Quantitative PCR (qPCR) has become the gold standard technique to measure cDNA and gDNA levels but the resulting data can be highly variable, artifactual and non-reproducible without appropriate verification and validation of both samples and primers. The root cause of poor quality data is typically associated with inadequate dilution of residual protein and chemical contaminants that variably inhibit Taq polymerase and primer annealing. The most susceptible, frustrating and often most interesting samples are those containing low abundant targets with small expression differences of 2-fold or lower. Here, Droplet Digital PCR (ddPCR) and qPCR platforms were directly compared for gene expression analysis using low amounts of purified, synthetic DNA in well characterized samples under identical reaction conditions. We conclude that for sample/target combinations with low levels of nucleic acids (Cq ≥ 29) and/or variable amounts of chemical and protein contaminants, ddPCR technology will produce more precise, reproducible and statistically significant results required for publication quality data. A stepwise methodology is also described to choose between these complimentary technologies to obtain the best results for any experiment.
Journal Article
An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics
Background
Bioinformatics researchers are now confronted with analysis of ultra large-scale data sets, a problem that will only increase at an alarming rate in coming years. Recent developments in open source software, that is, the Hadoop project and associated software, provide a foundation for scaling to petabyte scale data warehouses on Linux clusters, providing fault-tolerant parallelized analysis on such data using a programming style named MapReduce.
Description
An overview is given of the current usage within the bioinformatics community of Hadoop, a top-level Apache Software Foundation project, and of associated open source software projects. The concepts behind Hadoop and the associated HBase project are defined, and current bioinformatics software that employ Hadoop is described. The focus is on next-generation sequencing, as the leading application area to date.
Conclusions
Hadoop and the MapReduce programming paradigm already have a substantial base in the bioinformatics community, especially in the field of next-generation sequencing analysis, and such use is increasing. This is due to the cost-effectiveness of Hadoop-based analysis on commodity Linux clusters, and in the cloud via data upload to cloud vendors who have implemented Hadoop/HBase; and due to the effectiveness and ease-of-use of the MapReduce method in parallelization of many data analysis algorithms.
Journal Article