HUP-ML: Human Proteome Markup Language for Proteomics Database
نویسندگان
چکیده
منابع مشابه
Database independent proteomics analysis of the ostrich and human proteome.
Mass spectrometry (MS)-based proteome analysis relies heavily on the presence of complete protein databases. Such a strategy is extremely powerful, albeit not adequate in the analysis of unpredicted postgenome events, such as posttranslational modifications, which exponentially increase the search space. Therefore, it is of interest to explore "database-free" approaches. Here, we sampled the os...
متن کاملThe Human Urinary Proteome Fingerprint Database UPdb
The use of human urine as a diagnostic tool has many advantages, such as ease of sample acquisition and noninvasiveness. However, the discovery of novel biomarkers, as well as biomarker patterns, in urine is hindered mainly by a lack of comparable datasets. To fill this gap, we assembled a new urinary fingerprint database. Here, we report the establishment of a human urinary proteomic fingerpri...
متن کاملSimulation Experiment Description Markup Language (SED-ML) Level 1 Version 2
The number, size and complexity of computational models of biological systems are growing at an ever increasing pace. It is imperative to build on existing studies by reusing and adapting existing models and parts thereof. The description of the structure of models is not sufficient to enable the reproduction of simulation results. One also needs to describe the procedures the models are subjec...
متن کاملCanProVar: a human cancer proteome variation database.
Identification and annotation of mutated genes or proteins involved in oncogenesis and tumor progression are crucial for both cancer biology and clinical applications. We have developed a human Cancer Proteome Variation Database (CanProVar) by integrating information on protein sequence variations from various public resources, with a focus on cancer-related variations (crVAR). We have also bui...
متن کاملGML Gesture Markup Language
This paper discusses emerging problems of VHML – the Virtual Human Markup Language. VHML is XML based and allows interactive Virtual Humans to be directed so that human-virtual human interaction is more effective. The language addresses issues related to Facial and Body Animation, Dialogue Management, Text to Speech production, Emotional Representation plus Hyper / Multi Media information. Vari...
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: Journal of the Mass Spectrometry Society of Japan
سال: 2003
ISSN: 1340-8097,1880-4225
DOI: 10.5702/massspec.51.542