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12 | 12 | "\n",
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13 | 13 | "Biopython is a set of tools or python packages for Computational Biology. Since some of the tasks are common and repetitive, these tools help reduce wheel reinvention, especially when parsing file formats. \n",
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14 | 14 | "\n",
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15 |
| - "Bipython is an example of open source project, developed by a team of interantional collaborators and hosted in GitHub: https://github.com/biopython/biopython. \n", |
| 15 | + "Bipython is an example of an open source project, developed by a team of international collaborators and hosted in GitHub: https://github.com/biopython/biopython. \n", |
16 | 16 | "\n",
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17 |
| - "In this lecture, we introduce Biopython and demonstrate how some we can utilize in Bioinforatics data analysis. \n", |
| 17 | + "In this lecture, we introduce Biopython and demonstrate how some we can utilize in Bioinformatics data analysis. \n", |
18 | 18 | "\n",
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19 | 19 | "### First we install Biopython\n",
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20 | 20 | "\n",
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21 | 21 | "For this, we use the conda package manager\n",
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22 | 22 | "\n",
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23 | 23 | "`conda install biopython`\n",
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24 | 24 | "\n",
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| 25 | + "### Learning Resources\n", |
| 26 | + "\n", |
| 27 | + "The focus of this lecture is to give you an overview of what you can do with Biopython, and whet your appetite to learn further. At this stage of your learning, I encourage you to write your own scripts for genomic sequence parsing for better learning. \n", |
| 28 | + "\n", |
| 29 | + "When you are ready to dive deeper, here are some resources you will find useful:\n", |
| 30 | + "1. [Biopython documentation](https://biopython.org/wiki/Documentation)\n", |
| 31 | + "2. [Biopython cookbook](http://biopython.org/DIST/docs/tutorial/Tutorial.html)\n", |
| 32 | + "\n", |
25 | 33 | "Then we can test if the package was successfully installed:"
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26 | 34 | ]
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27 | 35 | },
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58 | 66 | "cell_type": "markdown",
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59 | 67 | "metadata": {},
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60 | 68 | "source": [
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61 |
| - "### 1. Alphabet\n", |
| 69 | + "### Alphabet\n", |
62 | 70 | "\n",
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63 | 71 | "With the latest version installed, now we can explore some of the cool packages available in Biopython. Let's start with the basics for dealing with genomic alphabet. "
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64 | 72 | ]
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