Bioinformatic challenges for proteomic biomarkers of cancer
نویسندگان
چکیده
منابع مشابه
A proteome resource of ovarian cancer ascites: integrated proteomic and bioinformatic analyses to identify putative biomarkers.
Epithelial ovarian cancer is the most lethal gynecological malignancy, and disease-specific biomarkers are urgently needed to improve diagnosis, prognosis, and to predict and monitor treatment efficiency. We present an in-depth proteomic analysis of selected biochemical fractions of human ovarian cancer ascites, resulting in the stringent and confident identification of over 2500 proteins. Rigo...
متن کاملProteomic profiling of cancer biomarkers.
Early detection and correct diagnosis are essential for effective treatment of cancer and patient survival. Complete sequencing of the human genome, and the genomes of other species, provides valuable tools for discerning the genetic abnormalities in cancer. However, differences between cancerous and normal cells reflect more than variations in genetic sequences and abundance of transcribed RNA...
متن کاملBioinformatic challenges for the next decade(s).
The science of bioinformatics has developed in the wake of methods to determine the sequences of the informational macromolecules--DNAs, RNAs and proteins. But in a wider sense, the biological world depends in its every process on the transmission of information, and hence bioinformatics is the fundamental core of biology. We here give a consideration of some of the key problems of bioinformati...
متن کاملProteomic biomarkers for autoimmune disease.
Autoimmune diseases affect 3% of the world population, yet the diagnosis and classification of autoimmune diseases remain based on clinical examination combined with traditional laboratory tests and imaging studies. The development of genomic and proteomic technologies provides an unprecedented ability to identify novel biosignatures to diagnose, classify, and guide therapeutic decision making ...
متن کاملBioinformatic Analysis for the Validation of Novel Biomarkers for Cancer Diagnosis and Drug Sensitivity
Background: The genetic control of tumour progression presents the opportunity for bioinformatics and gene expression data to be used as a basis for tumour grading. The development of a genetic signature based on microarray data allows for the development of personalised chemotherapeutic regimes. Method: ONCOMINE was utilised to create a genetic signature for ovarian serous adenocarcinoma and t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2011
ISSN: 1471-2105
DOI: 10.1186/1471-2105-12-s7-a17