开始时间: 04/22/2022 持续时间: 6 weeks
所在平台: CourseraArchive 课程类别: 生物与生命科学 大学或机构: University of Toronto(多伦多大学) 授课老师: Nicholas James Provart |
课程主页: https://www.coursera.org/course/bioinfomethods1
课程评论:没有评论
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.
Topics covered include multiple sequence alignments,
phylogenetics, gene expression data analysis, and protein interaction
networks, in two separate parts.
The first part, Bioinformatic Methods I, deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis, RNA-seq, and metagenomics.
The second part, Bioinformatic Methods II,
covers motif searching, protein-protein interactions, structural
bioinformatics, gene expression data analysis, and cis-element
predictions.
This pair of courses is useful to any student
considering graduate school in the biological sciences, as well as
students considering molecular medicine.
Bioinformatic Methods I
Week 1: NCBI/Blast I
Week 2:
Blast II/Comparative
Genomics
Week 3:
Multiple Sequence Alignments
Week 4:
Phylogenetics
Week 5:
Selection
Analysis
Week 6:
'Next Gen' Sequence Analysis (RNA-seq) /
Metagenomics
Use of available (mainly web-based) programs for analyzing biological data. This is an introductory course with a strong emphasis on hands-on methods. Some theory is introduced, but the main focus is on using extant bioinformatics tools to analyze data and generate biological hypotheses.