I’ve been fascinated by genomic research for years. While successfully implementing a fairly large and diverse set of algorithms (segmentation, image processing and machine learning) on text, image and other semi-structured datasets, till recently I didn’t have much exposure to the exciting field of bioinformatics, processing DNA and RNA sequences.
After completing Bioinformatics Methods I and Bioinformatics Methods II (thank you Professor Nicholas Provart, University of Toronto) I have a better appreciation of the important roles of Bioinformatics in medicinal sciences and in drug discovery, diagnosis and disease management, but also a better appreciation of the complexity involved with the processing of large biological datasets.
Topics covered in these two courses include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. The first part, Bioinformatic Methods I, dealt with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. The second part, Bioinformatic Methods II, dealt with motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions.
Please find below a short list of tools and resources I’ve used while completing the different labs:
NCBI/Blast I
Multiple Sequence Alignments
http://megasoftware.net (download tool)
http://mafft.cbrc.jp/alignment/server/
Phylogenetic
https://code.google.com/p/jmodeltest2/
http://evolution.genetics.washington.edu/phylip.html
http://bar.utoronto.ca/webphylip/
http://mobyle.pasteur.fr/cgi-bin/portal.py#forms::fastdnaml
Selection Analysis
NEXT GENERATION SEQUENCING APPLICATIONS: RNA-SEQ AND METAGENOMICS
http://mockler-jbrowse.mocklerlab.org/jbrowse.athal/?loc=Chr2%3A12414112..12415692
http://www.ncbi.nlm.nih.gov/pubmed/20410051
METAGENOMICS
Protein Domain, Motif and Profile Analysis
http://www.ncbi.nlm.nih.gov/guide/domains-structures/
http://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi
http://smart.embl-heidelberg.de/
http://www.ebi.ac.uk/InterProScan/
Protein-protein interactions
http://dip.doe-mbi.ucla.edu/dip/Main.cgi
http://www.thebiogrid.org/index.php
http://www.cytoscape.org/download.html (download tool)
Structural Bioinformatics
http://www.ncbi.nlm.nih.gov/Structure/VAST/vastsearch.html
http://pymol.org/edu (download tool)
Gene Expression Analysis
http://www.ncbi.nlm.nih.gov/sra
Gene Expression Data Analysis
http://bar.utoronto.ca/ntools/cgi-bin/ntools_expression_angler.cgi
http://bar.utoronto.ca/affydb/cgi-bin/affy_db_exprss_browser_in.cgi
http://bioinfo.cau.edu.cn/agriGO/analysis.php
http://bar.utoronto.ca/ntools/cgi-bin/ntools_venn_selector.cgi
Cis regulatory element mapping and prediction
http://bar.utoronto.ca/ntools/cgi-bin/BAR_Promomer.cgi
http://www.bioinformatics2.wsu.edu/cgi-bin/Athena/cgi/home.pl
http://meme-suite.org/tools/meme
Additional Coursers
https://class.coursera.org/molevol-002 Computational Molecular Evolution
https://www.coursera.org/course/pkubioinfo Bioinformatics
https://www.coursera.org/course/programming1 Python
https://www.coursera.org/course/webapplications Web Applications (Ruby on Rails)
https://www.coursera.org/course/epigenetics Epigenetics
https://www.coursera.org/course/genomicmedicine Genomic & Precision Medicine
https://www.coursera.org/course/usefulgenetics Useful Genetics
Book
Zvelebil & Baum 2008 Understanding Bioinformatics. Garland Science, New York
Thanks ggreat blog
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