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
SparseLasso: Sparse Solutions for the Lasso

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Techdegree Data Analysis Project 2

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Conduits - A Declarative Pipelining Tool For Pandas

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Data-sets from the survey and analysis

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A Numba-based two-point correlation function calculator using a grid decomposition

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Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks

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Implementation in Python of the reliability measures such as Omega.

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Performance analysis of predictive (alpha) stock factors

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Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data

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Projects that implement various aspects of Data Engineering.

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