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| author | Calvin <calvin@EESI> | 2013-05-16 14:54:55 -0400 |
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| committer | Calvin <calvin@EESI> | 2013-05-16 14:54:55 -0400 |
| commit | 6a3b80eca5b4eb04e21fae5ea676c9b483671a9f (patch) | |
| tree | a9ae6c556fd4d0663d0c4e9dea01a28cbc8c9ffc /README.markdown | |
| parent | 47cc54decd8d2a14a413bab57f8414214825155b (diff) | |
update readme
Diffstat (limited to 'README.markdown')
| -rw-r--r-- | README.markdown | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/README.markdown b/README.markdown index d23799e..0eb34cc 100644 --- a/README.markdown +++ b/README.markdown @@ -5,8 +5,8 @@ This is the homepage for quikr. Quikr is a QUadratic, Iterative, K-mer based Reconstruction technique that utilizes sparsity promoting ideas from the field of compressed sensing to reconstruct the composition of a bacterial community (when the input data is -454-like pyrosequencing data). This extremely fast method comes with a default -training database but can be custom trained. Typically reconstruction is +454-like pyrosequencing data). This extremely fast method comes with a several +databases that can be custom trained. Typically reconstruction is accurate down to the genus level. |