Ubuntu
r-bioc-s4vectors package

r-bioc-s4vectors 0.6.6-1 source package in Ubuntu

Changelog

r-bioc-s4vectors (0.6.6-1) unstable; urgency=medium

  * New upstream version
  * Fixed watch file

 -- Andreas Tille <email address hidden>  Thu, 24 Sep 2015 21:24:10 +0200

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
r-bioc-s4vectors_0.6.6-1.dsc 2.1 KiB a924a57fd351f75b39e8514a41476e6478662567fbce4a9d36a242ac6340feec
r-bioc-s4vectors_0.6.6.orig.tar.gz 183.8 KiB 7b3b5cf6a1289dd75a11a920a0ca3a3d496ffde22933502c112ec1fe55d54caf
r-bioc-s4vectors_0.6.6-1.debian.tar.xz 3.5 KiB aa354d503fe6dadf5704a07c308c7c2224128fcde8c0df3fdf48b7a6136e8f9f

Available diffs

No changes file available.

Binary packages built by this source

r-bioc-s4vectors: BioConductor S4 implementation of vectors and lists

 The S4Vectors package defines the Vector and List virtual classes and a
 set of generic functions that extend the semantic of ordinary vectors
 and lists in R. Package developers can easily implement vector-like or
 list-like objects as concrete subclasses of Vector or List. In addition,
 a few low-level concrete subclasses of general interest (e.g. DataFrame,
 Rle, and Hits) are implemented in the S4Vectors package itself (many
 more are implemented in the IRanges package and in other Bioconductor
 infrastructure packages).

r-bioc-s4vectors-dbgsym: debug symbols for package r-bioc-s4vectors

 The S4Vectors package defines the Vector and List virtual classes and a
 set of generic functions that extend the semantic of ordinary vectors
 and lists in R. Package developers can easily implement vector-like or
 list-like objects as concrete subclasses of Vector or List. In addition,
 a few low-level concrete subclasses of general interest (e.g. DataFrame,
 Rle, and Hits) are implemented in the S4Vectors package itself (many
 more are implemented in the IRanges package and in other Bioconductor
 infrastructure packages).