Links

• ​Open sourcing bioinstruments (2019) (HN)

• ​goleft - Collection of bioinformatics tools distributed under MIT license in a single static binary.

• ​When the levee breaks: a practical guide to sketching algorithms for processing the flood of genomic data (2019)​

• ​Handbook of Statistical Genomics (2019)​

• ​Nature Reviews Genetics - Monthly review journal in genetics and covers the full breadth of modern genetics.

• ​Bioinformatics and Functional Genomics 3rd Edition by Jonathan Pevsner​

• ​Nucleus - Python and C++ code for reading and writing genomics data.

• ​Statistical Population Genomics​

• ​Genome Informatics 2019 Lightning Talk: A. Sina Booeshaghi​

• ​10x Genomics (Code)

• ​Neher Lab - Pathogen evolution, genomics, and biophysics lab in Switzerland.

• ​BEDOPS - High-performance genomic feature operations.

• ​Introduction to Genetics and Evolution​

• ​Open Targets - Partnership that uses human genetics and genomics data for systematic drug target identification and prioritisation.

• ​Next-Gen Sequence Analysis Workshop (2019)​

• ​Korkin Lab​

• ​Varlociraptor - Flexible, uncertainty-aware variant calling with parameter free filtration via FDR control.

• ​genetools - Single-cell analysis recipes. (Code)

• ​Learn Genetics (HN)

• ​fgsea - Fast Gene Set Enrichment Analysis.

• ​Awesome Genome Visualization​

• ​Computational Genomics Class Playlist at San Diego State University​

• ​Computational Genomics Manual (Code)

• ​A Theory of Natural Universal Computation Through RNA (2020) (Tweet)

• ​Hail - Open-source, general-purpose, Python-based data analysis tool with additional data types and methods for working with genomic data. (References)

• ​gnomAD - Genome aggregation database.

• ​We can now edit the human genome – how far should we go? (HN)