Commit 17c8b9e2 authored by TomKellyGenetics's avatar TomKellyGenetics
Browse files

increment version

parent 13a27721

.version

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1.0.3
 
1.1.0

README.Rmd

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@@ -93,7 +93,7 @@ and use this tool to process single-cell RNA-Seq data from FASTQ format. 




**Package**

**Package**





UniverSC version 1.0.3

UniverSC version 1.1.0





**Maintainers**

**Maintainers**
@@ -248,7 +248,7 @@ package version 1.0.3. [https://github.com/minoda-lab/universc](https://github.c 
        abstract = {Single-cell RNA-sequencing analysis to quantify RNA molecules in individual cells has become popular owing to the large amount of information one can obtain from each experiment. We have developed UniverSC (https://github.com/minoda-lab/universc), a universal single-cell processing tool that supports any UMI-based platform. Our command-line tool enables consistent and comprehensive integration, comparison, and evaluation across data generated from a wide range of platforms.Competing Interest StatementThe authors have declared no competing interest.},

        abstract = {Single-cell RNA-sequencing analysis to quantify RNA molecules in individual cells has become popular owing to the large amount of information one can obtain from each experiment. We have developed UniverSC (https://github.com/minoda-lab/universc), a universal single-cell processing tool that supports any UMI-based platform. Our command-line tool enables consistent and comprehensive integration, comparison, and evaluation across data generated from a wide range of platforms.Competing Interest StatementThe authors have declared no competing interest.},

        eprint = {https://www.biorxiv.org/content/early/2021/01/19/2021.01.19.427209.full.pdf},

        eprint = {https://www.biorxiv.org/content/early/2021/01/19/2021.01.19.427209.full.pdf},

        journal = {{bioRxiv}},

        journal = {{bioRxiv}},

        note = {package version 1.0.3},

        note = {package version 1.1.0},

        URL = {https://github.com/minoda-lab/universc},

        URL = {https://github.com/minoda-lab/universc},

}

}
@@ -259,7 +259,7 @@ package version 1.0.3. [https://github.com/minoda-lab/universc](https://github.c 
    title = {{UniverSC}:  a flexible cross-platform single-cell data processing pipeline},

    title = {{UniverSC}:  a flexible cross-platform single-cell data processing pipeline},

    author = {S. Thomas Kelly, Kai Battenberg, Nicola A. Hetherington, Makoto Hayashi, and Aki Minoda},

    author = {S. Thomas Kelly, Kai Battenberg, Nicola A. Hetherington, Makoto Hayashi, and Aki Minoda},

    year = {2021},

    year = {2021},

    note = {package version 1.0.3},

    note = {package version 1.1.0},

    url = {https://github.com/minoda-lab/universc},

    url = {https://github.com/minoda-lab/universc},

  }

  }

```

```
@@ -710,7 +710,7 @@ your systems administrator. 




#### Pulling from remote DockerHub repository

#### Pulling from remote DockerHub repository





We provide a docker image for UniverSC version 1.0.3.

We provide a docker image for UniverSC version 1.1.0.





You can import it if you have docker installed.

You can import it if you have docker installed.

README.html

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@@ -12,7 +12,7 @@ 
<p><strong>Summary</strong></p>

<p><strong>Summary</strong></p>

<p>Single-cell RNA-sequencing analysis to quantify RNA molecules in individual cells has become popular owing to the large amount of information one can obtain from each experiment. UniverSC is a universal single-cell processing tool that supports any UMI-based platform. Our command-line tool enables consistent and comprehensive integration, comparison, and evaluation across data generated from a wide range of platforms. Here we provide a guide to install and use this tool to process single-cell RNA-Seq data from FASTQ format.</p>

<p>Single-cell RNA-sequencing analysis to quantify RNA molecules in individual cells has become popular owing to the large amount of information one can obtain from each experiment. UniverSC is a universal single-cell processing tool that supports any UMI-based platform. Our command-line tool enables consistent and comprehensive integration, comparison, and evaluation across data generated from a wide range of platforms. Here we provide a guide to install and use this tool to process single-cell RNA-Seq data from FASTQ format.</p>

<p><strong>Package</strong></p>

<p><strong>Package</strong></p>

<p>UniverSC version 1.0.3</p>

<p>UniverSC version 1.1.0</p>

<p><strong>Maintainers</strong></p>

<p><strong>Maintainers</strong></p>

<p>Tom Kelly<sup>†</sup> (RIKEN IMS) and Kai Battenberg<sup>†</sup> (RIKEN CSRS/IMS)</p>

<p>Tom Kelly<sup>†</sup> (RIKEN IMS) and Kai Battenberg<sup>†</sup> (RIKEN CSRS/IMS)</p>

<p>† These authors contributed equally to this work</p>

<p>† These authors contributed equally to this work</p>
@@ -94,7 +94,7 @@ 
        abstract = {Single-cell RNA-sequencing analysis to quantify RNA molecules in individual cells has become popular owing to the large amount of information one can obtain from each experiment. We have developed UniverSC (https://github.com/minoda-lab/universc), a universal single-cell processing tool that supports any UMI-based platform. Our command-line tool enables consistent and comprehensive integration, comparison, and evaluation across data generated from a wide range of platforms.Competing Interest StatementThe authors have declared no competing interest.},

        abstract = {Single-cell RNA-sequencing analysis to quantify RNA molecules in individual cells has become popular owing to the large amount of information one can obtain from each experiment. We have developed UniverSC (https://github.com/minoda-lab/universc), a universal single-cell processing tool that supports any UMI-based platform. Our command-line tool enables consistent and comprehensive integration, comparison, and evaluation across data generated from a wide range of platforms.Competing Interest StatementThe authors have declared no competing interest.},

        eprint = {https://www.biorxiv.org/content/early/2021/01/19/2021.01.19.427209.full.pdf},

        eprint = {https://www.biorxiv.org/content/early/2021/01/19/2021.01.19.427209.full.pdf},

        journal = {{bioRxiv}},

        journal = {{bioRxiv}},

        note = {package version 1.0.3},

        note = {package version 1.1.0},

        URL = {https://github.com/minoda-lab/universc},

        URL = {https://github.com/minoda-lab/universc},

}

}

</code></pre>

</code></pre>
@@ -102,7 +102,7 @@ 
    title = {{UniverSC}:  a flexible cross-platform single-cell data processing pipeline},

    title = {{UniverSC}:  a flexible cross-platform single-cell data processing pipeline},

    author = {S. Thomas Kelly, Kai Battenberg, Nicola A. Hetherington, Makoto Hayashi, and Aki Minoda},

    author = {S. Thomas Kelly, Kai Battenberg, Nicola A. Hetherington, Makoto Hayashi, and Aki Minoda},

    year = {2021},

    year = {2021},

    note = {package version 1.0.3},

    note = {package version 1.1.0},

    url = {https://github.com/minoda-lab/universc},

    url = {https://github.com/minoda-lab/universc},

  }</code></pre>

  }</code></pre>

<h3 id="bug-reports">Bug Reports <span id="Issues"><span></h3>

<h3 id="bug-reports">Bug Reports <span id="Issues"><span></h3>
@@ -312,7 +312,7 @@ docker run hello-world </code></pre> 
<pre><code>docker login -u &quot;myusername&quot;</code></pre>

<pre><code>docker login -u &quot;myusername&quot;</code></pre>

<p>If you cannot run docker on a remote server, contact your systems administrator.</p>

<p>If you cannot run docker on a remote server, contact your systems administrator.</p>

<h4 id="pulling-from-remote-dockerhub-repository">Pulling from remote DockerHub repository</h4>

<h4 id="pulling-from-remote-dockerhub-repository">Pulling from remote DockerHub repository</h4>

<p>We provide a docker image for UniverSC version 1.0.3.</p>

<p>We provide a docker image for UniverSC version 1.1.0.</p>

<p>You can import it if you have docker installed.</p>

<p>You can import it if you have docker installed.</p>

<pre><code>docker pull tomkellygenetics/universc:latest</code></pre>

<pre><code>docker pull tomkellygenetics/universc:latest</code></pre>

<p>Then you can run convert with:</p>

<p>Then you can run convert with:</p>

README.md

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@@ -6,7 +6,7 @@ affiliations: 
   index: 1

   index: 1

 - name: "RIKEN Center for Sustainable Resource Sciences, Suehiro-cho-1-7-22, Tsurumi Ward, Yokohama, Kanagawa 230-0045, Japan"

 - name: "RIKEN Center for Sustainable Resource Sciences, Suehiro-cho-1-7-22, Tsurumi Ward, Yokohama, Kanagawa 230-0045, Japan"

   index: 2

   index: 2

date: "Wednesday 17 February 2021"

date: "Saturday 27 February 2021"

output:

output:

  prettydoc::html_pretty:

  prettydoc::html_pretty:

       theme: cayman

       theme: cayman
@@ -93,7 +93,7 @@ and use this tool to process single-cell RNA-Seq data from FASTQ format. 




**Package**

**Package**





UniverSC version 1.0.3

UniverSC version 1.1.0





**Maintainers**

**Maintainers**
@@ -248,7 +248,7 @@ package version 1.0.3. [https://github.com/minoda-lab/universc](https://github.c 
        abstract = {Single-cell RNA-sequencing analysis to quantify RNA molecules in individual cells has become popular owing to the large amount of information one can obtain from each experiment. We have developed UniverSC (https://github.com/minoda-lab/universc), a universal single-cell processing tool that supports any UMI-based platform. Our command-line tool enables consistent and comprehensive integration, comparison, and evaluation across data generated from a wide range of platforms.Competing Interest StatementThe authors have declared no competing interest.},

        abstract = {Single-cell RNA-sequencing analysis to quantify RNA molecules in individual cells has become popular owing to the large amount of information one can obtain from each experiment. We have developed UniverSC (https://github.com/minoda-lab/universc), a universal single-cell processing tool that supports any UMI-based platform. Our command-line tool enables consistent and comprehensive integration, comparison, and evaluation across data generated from a wide range of platforms.Competing Interest StatementThe authors have declared no competing interest.},

        eprint = {https://www.biorxiv.org/content/early/2021/01/19/2021.01.19.427209.full.pdf},

        eprint = {https://www.biorxiv.org/content/early/2021/01/19/2021.01.19.427209.full.pdf},

        journal = {{bioRxiv}},

        journal = {{bioRxiv}},

        note = {package version 1.0.3},

        note = {package version 1.1.0},

        URL = {https://github.com/minoda-lab/universc},

        URL = {https://github.com/minoda-lab/universc},

}

}
@@ -259,7 +259,7 @@ package version 1.0.3. [https://github.com/minoda-lab/universc](https://github.c 
    title = {{UniverSC}:  a flexible cross-platform single-cell data processing pipeline},

    title = {{UniverSC}:  a flexible cross-platform single-cell data processing pipeline},

    author = {S. Thomas Kelly, Kai Battenberg, Nicola A. Hetherington, Makoto Hayashi, and Aki Minoda},

    author = {S. Thomas Kelly, Kai Battenberg, Nicola A. Hetherington, Makoto Hayashi, and Aki Minoda},

    year = {2021},

    year = {2021},

    note = {package version 1.0.3},

    note = {package version 1.1.0},

    url = {https://github.com/minoda-lab/universc},

    url = {https://github.com/minoda-lab/universc},

  }

  }

```

```
@@ -710,7 +710,7 @@ your systems administrator. 




#### Pulling from remote DockerHub repository

#### Pulling from remote DockerHub repository





We provide a docker image for UniverSC version 1.0.3.

We provide a docker image for UniverSC version 1.1.0.





You can import it if you have docker installed.

You can import it if you have docker installed.

launch_universc.sh

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@@ -20,7 +20,7 @@ 
install=false

install=false





######UniverSC version#####

######UniverSC version#####

universcversion="1.0.2"

universcversion="1.1.0"

##########

##########

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