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Greg Caporaso
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Merge pull request #90 from gregcaporaso/issue-17
update notebook file names and corresponding links
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Index.ipynb

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"metadata": {
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"signature": "sha256:d437bbcfe323460025114f4e677669ba63db29d1e089b04aff4572c28c793d9a"
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"signature": "sha256:5fc7b5198a3fdef06c4cd47a8083aa86dab5b7dc70eb652ef5edd545cbb2b735"
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"nbformat": 3,
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"source": [
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"0. [Getting started](getting-started/Index.ipynb): using the IPython Notebook and *An Introduction To Applied Bioinformatics*\n",
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"1. Fundamentals\n",
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" 1. [Pairwise alignment](algorithms/1-pairwise-alignment.ipynb) ([exercise](algorithms/pairwise-alignment-exercises.ipynb))\n",
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" 2. [Database searching and determining the statistical significance of an alignment](algorithms/2-database-searching.ipynb)\n",
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" 3. [Phylogeny reconstruction: distances, distances matrices and hierarchical clustering with UPGMA](algorithms/3-phylogeny-reconstruction.ipynb)\n",
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" 4. [Multiple sequence alignment](algorithms/4-multiple-sequence-alignment.ipynb) ([exercise](algorithms/msa-assignment.ipynb))\n",
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" 5. [Read mapping and clustering](algorithms/5-sequence-mapping-and-clustering.ipynb?create=1)\n",
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" 1. [Pairwise alignment](fundamentals/pairwise-alignment.ipynb) ([exercise](fundamentals/pairwise-alignment-exercises.ipynb))\n",
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" 2. [Database searching and determining the statistical significance of an alignment](fundamentals/database-searching.ipynb)\n",
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" 3. [Phylogeny reconstruction: distances, distances matrices and hierarchical clustering with UPGMA](fundamentals/phylogeny-reconstruction.ipynb)\n",
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" 4. [Multiple sequence alignment](fundamentals/multiple-sequence-alignment.ipynb) ([exercise](fundamentals/msa-assignment.ipynb))\n",
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" 5. [Read mapping and clustering](fundamentals/sequence-mapping-and-clustering.ipynb?create=1)\n",
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"2. Applications\n",
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" 1. [Studying biological diversity](applications/1-biological-diversity.ipynb)\n",
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" 1. [Studying biological diversity](applications/biological-diversity.ipynb)\n",
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"3. Wrapping up"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [],
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"language": "python",
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"metadata": {},
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"outputs": []
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}
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],
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