Incubator for useful bioinformatics code, primarily in Python and R

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Data Analysisbcbb
Overview

Collection of useful code related to biological analysis. Much of this is discussed with examples at Blue collar bioinformatics.

All code, images and documents in this repository are freely available for all uses. Code is available under the MIT license and images, documentations and talks under the Creative Commons No Rights Reserved (CC0) license.

Some projects which may be especially interesting:

  • CloudBioLinux -- An automated environment to install useful biological software and libraries. This is used to bootstrap blank machines, such as those you'd find on Cloud providers like Amazon, to ready to go analysis workstations. See the CloudBioLinux effort for more details. This project moved to its own repository at https://github.com/chapmanb/cloudbiolinux.
  • gff -- A GFF parsing library in Python, aimed for inclusion into Biopython.
  • nextgen -- A python toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis. This project has moved into its own repository: https://github.com/chapmanb/bcbio-nextgen
  • distblast -- A distributed BLAST analysis running for identifying best hits in a wide variety of organisms for downstream phylogenetic analyses. The code is generalized to run on local multi-processor and distributed Hadoop clusters.
Owner
Brad Chapman
Biologist and programmer
Brad Chapman
Data Competition: automated systems that can detect whether people are not wearing masks or are wearing masks incorrectly

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This project is the implementation template for HW 0 and HW 1 for both the programming and non-programming tracks

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Clean and reusable data-sciency notebooks.

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t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology.

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Multiple Pairwise Comparisons (Post Hoc) Tests in Python

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A Python module for clustering creators of social media content into networks

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