C. elegans resources
Database of C. elegans and other nematodes: https://wormbase.org/
Comprehensive guide to nematode genetics: http://www.wormbook.org/
Caenorhabditis Genetics Center (CGC): https://cgc.umn.edu/
C. elegans database maintained by Dr. Nikolaus Rajewsky https://elegans.mdc-berlin.de/
C. elegans Natural Diversity Resource maintained by Dr. Erik Andersen: https://www.elegansvariation.org/
Useful web tools
Primer Design: http://www.bioinformatics.nl/cgi-bin/primer3plus/primer3plus.cgi
BioMath Calculators: https://www.promega.com/resources/tools/biomath-calculators
CRISPR guide RNA design: https://www.idtdna.com/site/order/designtool/index/CRISPR_CUSTOM
Codon Usage Database: http://www.kazusa.or.jp/codon/
Predict coding region: http://bioinf.uni-greifswald.de/augustus/
Yeast two Hybrid database: https://thebiogrid.org/
NCPR analysis: http://pappulab.wustl.edu/CIDER/about/
Protein-Protein Interaction: https://string-db.org/
UpSet: Visualizing Intersecting Sets: http://caleydo.org/tools/upset/
A daTabase of RNA binding proteins and AssoCiated moTifs: https://attract.cnic.es/index
Protein domain search: https://toolkit.tuebingen.mpg.de/tools/hhpred and https://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi
Silent mutator: http://www.molbiotools.com/silentmutator.html
Protein structure comparison: http://ekhidna2.biocenter.helsinki.fi/dali/
Structure search by Foldseek: https://search.foldseek.com/search
Prediction of protein localization sites: https://psort.hgc.jp/form2.html
Animation on Biomolecular condensates: https://animationlab.utah.edu/phase-separation
C. elegans codon adaptor: https://worm.mpi-cbg.de/codons/cgi-bin/optimize.py
Bioinformatics Tutorial
DeepVenn: https://www.deepvenn.com/
Python for Biologists: https://pythonforbiologists.com/
Kaggle: Faster Data Science Education: https://www.kaggle.com/learn/overview
Tutorial series from UConn: https://bioinformatics.uconn.edu/resources-and-events/tutorials-2/
Linux Commands Cheat Sheet: http://userweb.eng.gla.ac.uk/umer.ijaz/bioinformatics/linux.html
Documents/Talks