Saheed sah2ed

## README.md

      
              4 files
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                sah2ed
                / README.md
            
            
              Created
              May 30, 2016 11:43
                — forked from agnoster/README.md
            
              
                My ZSH Theme
              
          
    agnoster.zsh-theme

A ZSH theme optimized for people who use:

Solarized
Git
Unicode-compatible fonts and terminals (I use iTerm2 + Menlo)

For Mac users, I highly recommend iTerm 2 + Solarized Dark

  
## 1_readme.md

      
              2 files
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                sah2ed
                / 1_readme.md
            
            
              Last active
              August 29, 2015 14:11
                — forked from newgene/1_readme.md
            
          
    Readme for this contest

General context of this contest

Human immune system produces a vast variety of antibodies in order to respond to the external stimuli. Next-generation sequencing technology allows researchers to obtain the sequences of all antibodies from a single person. Clustering these antibody sequences allows us to understand how an antibody is produced. However, the number of antibody sequences from a single sample can be up to 1 million scale. Clustering with such a big scale poses a big computation challenge.
Current algorithm

The current algorithm for clustering antibody sequences computes a pairwise distance matrix, and then perform a hierarchical clustering to group sequences into clusters. This algorithm is implemented in Python as provided clonify_contest.py script.