Ubuntu
vdjtools package

vdjtools 1.2.1+git20190311+repack-2 source package in Ubuntu

Changelog

vdjtools (1.2.1+git20190311+repack-2) unstable; urgency=medium

  * Team upload.

  [ Vladimir Petko ]
  * d/p/jdk-remove-collection.patch: remove unused collection class to
    resolve Java 21 ftbfs (Closes: #1057537).

  [ Andreas Tille ]
  * Standards-Version: 4.6.2 (routine-update)

 -- Andreas Tille <email address hidden>  Fri, 16 Feb 2024 10:14:48 +0100

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Questing release multiverse misc
Plucky release multiverse misc
Oracular release multiverse misc
Noble release multiverse misc

Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
vdjtools_1.2.1+git20190311+repack-2.dsc 2.4 KiB 144106812857ce29ad608144ac9f0bad9114bee1c65a30dca1158e7d9f298a2e
vdjtools_1.2.1+git20190311+repack.orig.tar.gz 9.7 MiB 31d5a17ee07163ec5926bdd5424a43d6f4295a201488843536b02b78ee6381c4
vdjtools_1.2.1+git20190311+repack-2.debian.tar.xz 13.0 KiB 3f9f04a59726b12fe61f796baf998e6ec153733c8a1de92bff6da09c59a8923a

No changes file available.

Binary packages built by this source

libvdjtools-java: Java library of vdjtools

 The VDJtools are interacting with the R statistics environment
 to characterize the constitution of the immune repertoire
 of B and T cells.
 This package provides the Java library.

vdjtools: framework for post-analysis of B/T cell repertoires

 VDJtools is an open-source Java/Groovy-based framework designed
 to facilitate analysis of immune repertoire sequencing (RepSeq)
 data. VDJtools computes a wide set of statistics and is able to perform
 various forms of cross-sample analysis. Both comprehensive tabular
 output and publication-ready plots are provided.
 .
 The main aims of the VDJtools Project are:
 .
  * To ensure consistency between post-analysis methods and results
  * To save the time of bioinformaticians analyzing RepSeq data
  * To create an API framework facilitating development of new RepSeq
    analysis applications
  * To provide a simple enough command line tool so it could be used by
    immunologists and biologists with little computational background