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Commit dbfaf3d8 authored by Ashrith Sagar Yedlapalli's avatar Ashrith Sagar Yedlapalli :speech_balloon:
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README Updated

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# Team MIT_MAHE 2022 Software Tool
# About
If you team competes in the [**Software & AI** track](https://competition.igem.org/participation/tracks) or wants to
apply for the [**Best Software Tool** Award](https://competition.igem.org/judging/awards), you **MUST** host all the
code of your team's software tool in this repository, `main` branch. By the **Wiki Freeze**, a
[release](https://docs.gitlab.com/ee/user/project/releases/) will be automatically created as the judging artifact of
this software tool. You will be able to keep working on your software after the Grand Jamboree.
## pep_mod.py
> If your team does not have any software tool, you can totally ignore this repository. If left unchanged, this
repository will be automatically deleted by the end of the season.
- Peptide modifications
- Conservative mutations
- Di peptide filter
## pdb_chains.py
## Description
Let people know what your project can do specifically. Provide context and add a link to any reference visitors might
be unfamiliar with (for example your team wiki). A list of Features or a Background subsection can also be added here.
If there are alternatives to your project, this is a good place to list differentiating factors.
Modify chains of .pdb files
## Installation
Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew.
However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing
specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a
specific context like a particular programming language version or operating system or has dependencies that have to be
installed manually, also add a Requirements subsection.
## bals2csv.py
## Usage
Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of
usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably
include in the README.
.bals to .csv convertor
## Contributing
State if you are open to contributions and what your requirements are for accepting them.
# Installation
For people who want to make changes to your project, it's helpful to have some documentation on how to get started.
Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps
explicit. These instructions could also be useful to your future self.
```shell
pip install -r requirements.txt
```
You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce
the likelihood that the changes inadvertently break something. Having instructions for running tests is especially
helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
# Usage
## pdb_chains.py
```shell
python3 pdb_chains.py -h
```
```shell
python3 pdb_chains.py input_file chains -o output_file
```
## bals2csv.py
```shell
python3 bals2csv.py file.bals
```
## Authors and acknowledgment
Show your appreciation to those who have contributed to the project.
# Team MIT_MAHE 2022 Software Tool
If you team competes in the [**Software & AI** track](https://competition.igem.org/participation/tracks) or wants to
apply for the [**Best Software Tool** Award](https://competition.igem.org/judging/awards), you **MUST** host all the
code of your team's software tool in this repository, `main` branch. By the **Wiki Freeze**, a
[release](https://docs.gitlab.com/ee/user/project/releases/) will be automatically created as the judging artifact of
this software tool. You will be able to keep working on your software after the Grand Jamboree.
> If your team does not have any software tool, you can totally ignore this repository. If left unchanged, this
repository will be automatically deleted by the end of the season.
## Description
Let people know what your project can do specifically. Provide context and add a link to any reference visitors might
be unfamiliar with (for example your team wiki). A list of Features or a Background subsection can also be added here.
If there are alternatives to your project, this is a good place to list differentiating factors.
## Installation
Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew.
However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing
specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a
specific context like a particular programming language version or operating system or has dependencies that have to be
installed manually, also add a Requirements subsection.
## Usage
Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of
usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably
include in the README.
## Contributing
State if you are open to contributions and what your requirements are for accepting them.
For people who want to make changes to your project, it's helpful to have some documentation on how to get started.
Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps
explicit. These instructions could also be useful to your future self.
You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce
the likelihood that the changes inadvertently break something. Having instructions for running tests is especially
helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
## Authors and acknowledgment
Show your appreciation to those who have contributed to the project.
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