| 29/08/08 |
New release: 8.7 |
-
New analysis method: Receiver Operator Characteristics (ROC)
- Compare the performances of all available similarity comparison methods for a given dataset.
- Generate ROC curves in JPG or EPS format
- Produce an overview of AUC values in XML or TEX format
- SCOP database (1.73) is used as the gold standard
- Obsolete PDB codes are translated automatically into currently available structures
-
New visualiser for phylogenetic-like trees: ProCKSI-Viz (1.0)
-
Tight integration of ProCKSI-Viz into ProCKSI:
- Visualise all trees that have been selected in the browser in a client-side application
- Automatic update of new results of the current experiment
- Use Java WebStart technology for a quicker start
- Signed Java Application for more security
- Future plans:
- Comparison of trees
- New and better visualisation formats
- New similarity comparison method: URMS (22/procksi-8.7)
- Updated similarity comparison method: MaxCMO-MSVNS (1.2)
- Updated PDB parser: ParsePDB (2.1)
-
New consensus mode: Consensus/Median
- Similar to Consensus/Average, but the median is taken in order to produce more robust results that depend less on outliers
-
More control of your experiments:
- Restart failed tasks
- Delete your entire experiment manually in addition to auto-deletion after expiration
-
Better usability in "New Experiment" and "My Experiment":
- Actions in the browser that are likely to take a long time are sent into the background
- All-against-Target comparison mode allows more structures to be compared than All-against-All comparison mode
- Extended Terms and Conditions with data protection commitment
|
| 17/03/08 |
New release: 8.6 |
- Direct login into My Experiment with experiment ID and email address
- Updated similarity comparison method: DaliLite (2.4.5)
-
New comparison mode:
All-against-Target in addition to All-against-All comparisons
- Mark target for comparison
-
New consensus mode: Consensus/Greedy in addition to Consensus/Average
- The best (smallest) values from the Standardised Distance Matrices/Vectors (SDM/SDV) from different methods are taken
- A second matrix holds the method/measure names of the best values
-
Separate method for Standardisation, Combination, Clustering, Linearisation, and Deletion; depending on comparison mode
- Linearisation produces input for the generation of ROC curves
|
| 06/12/07 |
New release: 8.5.2 |
- Maintenance release including several bug fixes
- "Standardised Similarity Matrix" (SSM) was renamed into "Standardised Distance Matrix" (SDM)
|
| 23/11/07 |
New release: 8.5 |
- New similarity comparison method: Vorolign (1.0)
- New design with improved user interface and navigation
- Customisable visualisations for contact maps as images and graphs
- Customisable notification emails for finished experiments/tasks
- Improved data security with authentication
- Improved scheduling of all tasks
|
| 26/10/07 |
New Publication (publisher) |
-
"ProCKSI: a decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information"
Barthel D., Hirst J.D. , Blazewicz J., Burke E.K., and Krasnogor N.,
BMC Bioinformatics 2007, 8:416
|
| 16/10/07 |
Major hardware and operating system upgrade |
-
The ProCKSI cluster was extended to 5 compute nodes providing in total 14 cores.
-
The operating system was upgraded to Centos5 and and ProCKSI was reinstalled on all machines.
|
| 01/10/07 |
New internal news history |
-
The news history has started (internally).
|