Biological Data

 

 


 

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E.g., 2016-12-03
E.g., 2016-12-03
E.g., 2016-12-03
Nov 28th 2016

Курс «Введение в биоинформатику» адресован тем, кто хочет получить расширенное представление о том, что такое биоинформатика и как она помогает биологам и медикам в их работе. The course is aimed at those who would like to have a better idea of what bioinformatics is and how it helps biologists and medical scientists in research and clinical work.

Average: 5.3 (3 votes)
Nov 28th 2016

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Average: 7.2 (5 votes)
Oct 30th 2016

Biometric technologies are the science of detecting and recognising human characteristics using technologies that measure and analyse individual biological data. The way we are genetically composed, creates identifiable traits that can uniquely represent us as individuals. Just as DNA can be used to identify individuals except for identical twins, some biometric traits such as fingerprints and iris prints are distinctive even among identical twins.

Average: 6 (4 votes)
Apr 15th 2016

Explore data analysis of several experimental protocols, using open source software, including R and Bioconductor.

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Mar 29th 2016

A workshop-style introduction to tools used in biological research. Discover how to analyze data using computational methods.

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Mar 15th 2016

Learn how to bridge from diverse genomic assay and annotation structures to data analysis and research presentations via innovative approaches to computing.

Average: 9.5 (2 votes)
Feb 15th 2016

The structure, annotation, normalization, and interpretation of genome scale assays.

Average: 8.5 (2 votes)
Jan 15th 2016

A focus on several techniques that are widely used in the analysis of high-dimensional data.

Average: 8.3 (4 votes)