Bioinformatics Training
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Bioinformatics Training
Bioinformatics, blended with education and health sciences subjects
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GTPB: QPB16 Quantitative Proteomics using Bioinformatics - Home

GTPB: QPB16 Quantitative Proteomics using Bioinformatics - Home | Bioinformatics Training | Scoop.it
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Hands-on Bioinformatics Training Course on Quantitative Proteomics
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Biological significance of targeting - Ruedi Aebersold - Targeted Proteomics Course - ETHZ 2015

Biological significance of targeted proteomics experiments.
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New Study: Blood Test May Help Diagnose Early-Stage Lung Cancer

New Study: Blood Test May Help Diagnose Early-Stage Lung Cancer | Bioinformatics Training | Scoop.it
Oct. 16, 2013

When it comes to determining whether lung nodules are malignant or benign, a patient typically faces surgery and a biopsy. It's an invasive and costly response, and, in 80 percent of cases, unnecessary.
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"A Blood-Based Proteomic Classifier for the Molecular Characterization of Pulmonary Nodules."

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Dmitry Alexeev's curator insight, October 20, 2013 4:29 AM
We will be able to distinguish normal from diseased individuals.In most cases, we’ll be able to diagnose the disease very early.We will be able to follow the progression of disease.We will be able to follow the response to the therapy and how effective it is.We can take the disease such as lung cancer and stratify it into its different subgroups, which will be 
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GTPB: PDA16 - Proteomics Data Analysis - Home

GTPB: PDA16 - Proteomics Data Analysis - Home | Bioinformatics Training | Scoop.it
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Applications are Open, Please visit http://gtpb.igc.gulbenkian.pt/bicourses/PDA16/
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GTPB: PDA15 - Proteomics Data Analysis - Home

GTPB: PDA15 - Proteomics Data Analysis - Home | Bioinformatics Training | Scoop.it
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Course description

Mass spectrometry based proteomic experiments generate ever larger datasets and, as a consequence, complex data interpretation challenges. In this course, the concepts and methods required to tackle these challenges will be introduced, covering both protein identification and quantification. The course will rely exclusively on free and user friendly software, all of which can be directly applied in your lab upon your return from the course.

An introduction to the available online resources and repositories will also be given. Here you will see how to link the results from proteomic experiments with external data to conduct pathway, gene ontology and interaction analyses.
In the course, you will also learn how to submit data to the ProteomeXchange online repositories, and how to browse and reprocess publicly available data from these repositories.

The course will provide a solid basis for beginners, but also new perspectives to those already familiar with standard data interpretation procedures in proteomics.

Course Pre-requisites

The participants should have a basic knowledge about mass spectrometry based proteomics. Experience in analyzing proteomics data is an advantage, but not mandatory. The course does not require advanced computer skills.

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