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MODA #37

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7 tasks done
fairmiracle opened this issue Jun 28, 2016 · 6 comments
Closed
7 tasks done

MODA #37

fairmiracle opened this issue Jun 28, 2016 · 6 comments

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@fairmiracle
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Update the following URL to point to the GitHub repository of
the package you wish to submit to Bioconductor

Confirm the following by editing each check box to '[x]'

  • I understand that by submitting my package to Bioconductor,
    the package source and all review commentary are visible to the
    general public.
  • I have read the Bioconductor Package Submission
    instructions. My package is consistent with the Bioconductor
    Package Guidelines.
  • My package addresses statistical or bioinformatic issues related
    to the analysis and comprehension of high throughput genomic data.
  • I am committed to the long-term maintenance of my package. This
    includes monitoring the support site for issues that users may
    have, subscribing to the bioc-devel mailing list to stay aware
    of developments in the Bioconductor community, responding promptly
    to requests for updates from the Core team in response to changes in
    R or underlying software.

I am familiar with the essential aspects of Bioconductor software
management, including:

  • The 'devel' branch for new packages and features.
  • The stable 'release' branch, made available every six
    months, for bug fixes.
  • Bioconductor version control using Subversion
    (optionally via GitHub).

For help with submitting your package, please subscribe and post questions
to the bioc-devel mailing list.

@bioc-issue-bot
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Hi @fairmiracle

Thanks for submitting your package. We are taking a quick
look at it and you will hear back from us soon.

The DESCRIPTION file for this package is:

Package: MODA
Type: Package
Title: MODA: MOdule Differential Analysis for weighted gene
        co-expression network
Version: 0.99.4
Date: 2016-06-22
Author: Dong Li, James B. Brown, Luisa Orsini, Zhisong Pan, Guyu Hu and Shan He
Maintainer: Dong Li <dxl466@cs.bham.ac.uk>
Description: MODA can be used to estimate and construct condition-specific gene
    co-expression networks, and identify differentially expressed subnetworks as
    conserved or condition specific modules which are potentially associated with
    relevant biological processes.
License: GPL (>= 2)
Depends: R (>= 3.1.0)
Imports: WGCNA,dynamicTreeCut,igraph
RoxygenNote: 5.0.1
biocViews: GeneExpression, Microarray, DifferentialExpression, Network
Suggests: BiocStyle

@mtmorgan
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@fairmiracle can you clarify the relationship between this package and AMOUNTAIN? Are they to be considered two independent software packages?

@mtmorgan
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This package is already under review in the original tracker. I'm closing this issue.

@fairmiracle
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Yes, they are two different packages. Both of them were initially submitted
to the old system tracker before, MODA has been assigned to Martin and
AMOUNTAIN to Dan. It seems that I should not open new issues for them since
they are under review now. Sorry about the usage of new system.

Best regards,

Dong


Dong Li
PhD student at School of Computer Science
The University of Birmingham, UK

On 28 June 2016 at 21:28, Martin Morgan notifications@github.com wrote:

@fairmiracle https://github.com/fairmiracle can you clarify the
relationship between this package and AMOUNTAIN? Are they to be considered
two independent software packages?


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@fairmiracle
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Hi Martin

How to update these two packages? Still through the old tracker?

Best regards,

Dong


Dong Li
PhD student at School of Computer Science
The University of Birmingham, UK

On 28 June 2016 at 21:30, Martin Morgan notifications@github.com wrote:

This package is already under review in the original tracker. I'm closing
this issue.


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@mtmorgan
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yes increment the version number (to 0.99.5) and update the existing issue on the old tracker

@bioc-issue-bot bioc-issue-bot mentioned this issue Feb 22, 2018
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@bioc-issue-bot bioc-issue-bot mentioned this issue Sep 4, 2019
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@bioc-issue-bot bioc-issue-bot mentioned this issue Jun 2, 2020
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