Download Latest Version JDACO_1.03.zip (4.5 MB)
Email in envelope

Get an email when there's a new version of DACO-algorithm

Home
Name Modified Size InfoDownloads / Week
readme.txt 2018-12-12 1.1 kB
0
JDACO_1.03.zip 2018-12-12 4.5 MB
0
adapted_DACO_1.02.zip 2018-12-12 19.0 kB
0
JDACO_1.02.zip 2018-11-27 4.5 MB
0
adapted_DACO_1.01.zip 2018-11-27 10.2 kB
0
JDACO_1.01.zip 2017-12-11 5.5 MB
0
adapted_DACO.zip 2017-10-06 11.1 kB
0
JDACO_1.0.zip 2017-09-27 5.5 MB
0
DACO_1.01_May_2016.zip 2016-05-20 4.0 MB
0
DACO_1.0_low_memory.zip 2014-08-01 4.0 MB
0
DACO_1.0.zip 2014-06-02 4.0 MB
0
Totals: 11 Items   32.1 MB 0 
Updates:
    - Dec 2018: JDACO 1.03 released. Improved hash-calculations for computational state caching.
    - Dec 2018: adapted version of DACO Python 2.x prototype 1.02 released that again adds 
                the option to cache computational states (time/space tradeoff).
    - Nov 2018: JDACO 1.02 released. Includes high-performance mode for better thread utilization.
    - Nov 2018: adapted version of DACO Python 2.x prototype 1.01 released that behaves like JDACO.
    - Dec 2017: JDACO 1.01, small bugfix for output of version with "-version", no changes to processing.
    - Sep 2017: JDACO 1.0 released.
    - May 2016: the DACO prototype was adapted the URL change of Pfam's infrastructure and updated to (version 1.01).

General:
    The DACO Python 2.x prototype is replaced by the new Java implementation JDACO.

    Condition-specific input networks for JDACO can be built with our new tool
    PPIXpress ( https://sourceforge.net/projects/ppixpress/ ).
    Bundling PPIXpress and JDACO will speed up data retrieval as well as execution tremendously.
    Furthermore, it enables to contextualize the calculations.
Source: readme.txt, updated 2018-12-12