کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10825966 1064692 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Computer aided manual validation of mass spectrometry-based proteomic data
ترجمه فارسی عنوان
اعتبار سنجی دستی کامپیوتری از داده های پروتئومیک مبتنی بر طیف سنج جرمی
کلمات کلیدی
طیف سنجی جرمی، طیف سنجی جرم دو طرفه، شناسایی پروتئین، اصلاح پست ترجمه پروتئین، تجزیه و تحلیل محاسباتی،
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی زیست شیمی
چکیده انگلیسی
Advances in mass spectrometry-based proteomic technologies have increased the speed of analysis and the depth provided by a single analysis. Computational tools to evaluate the accuracy of peptide identifications from these high-throughput analyses have not kept pace with technological advances; currently the most common quality evaluation methods are based on statistical analysis of the likelihood of false positive identifications in large-scale data sets. While helpful, these calculations do not consider the accuracy of each identification, thus creating a precarious situation for biologists relying on the data to inform experimental design. Manual validation is the gold standard approach to confirm accuracy of database identifications, but is extremely time-intensive. To palliate the increasing time required to manually validate large proteomic datasets, we provide computer aided manual validation software (CAMV) to expedite the process. Relevant spectra are collected, catalogued, and pre-labeled, allowing users to efficiently judge the quality of each identification and summarize applicable quantitative information. CAMV significantly reduces the burden associated with manual validation and will hopefully encourage broader adoption of manual validation in mass spectrometry-based proteomics.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Methods - Volume 61, Issue 3, 15 June 2013, Pages 219-226
نویسندگان
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