Incubator for useful bioinformatics code, primarily in Python and R

Related tags

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
This is an example of how to automate Ridit Analysis for a dataset with large amount of questions and many item attributes

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Using approximate bayesian posteriors in deep nets for active learning

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Extract Thailand COVID-19 Cluster data from daily briefing pdf.

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Average time per match by division

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An Indexer that works out-of-the-box when you have less than 100K stored Documents

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CleanX is an open source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological images.

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Full ELT process on GCP environment.

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A powerful data analysis package based on mathematical step functions. Strongly aligned with pandas.

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48 Dec 21, 2022
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