What has changed in SAMS versions?
SAMS 2.0
New features such as a TC update feature, or new tools for functional analysis such as HAMAP,
PRIAM and an extended search interface, PatScan search for
sequence patterns were added in the new SAMS release.
Additionally, a web service based integration
of microarray expression data has been implemented as well as the
vizualisation of the corresponding experimental results.
SAMS 1.8.
In addition to a lot of small improvements
there are some new features implemented:
- Project states (avoiding conflictig actions)
- Configurable Metanor (=automatic annotation pipeline)
- Job and Annotation statistics
- Pie-chart views of functional classification distributions
- SteN - Statistical electronic Northern blot
SAMS 1.6.
This new version includes numerous bug-fixes over SAMS 1.4 and presents
some features which have been implemented in order to meet the users needs
and suggestions. Here is a list with the main topics that have been worked
out in SAMS 1.6:
- Coloured visualization of the sequence data sets, according to the
quality of database matches.
- Option to filter the sequence data according to their E-value.
(The filter facility has been completely re-written.)
- Option to export the chosen sequence data into (multiple) FASTA files,
tab-separated files of into EMBL format.
- Option to join two or more existing libraries allowing the clustering
and assembly of different sequence sets.
- Option to setup user defined BLAST Tools.
- Improved BLAST interface included.
SAMS 1.4.
It includes numerous bug-fixes over SAMS 1.2 and presents some features
which have been implemented such as:
- Improved importer - some backend changes led to a much faster import
of sequences, avoiding "time-outs".
- Manifold filter options in the sequence data viewer, compared to SAMS 1.2.
- Improved job status information of imported sequences.
- Only TCs and singlets can be annotated. The ESTs get the annotation of
the corresponding TCs during export or publication.
SAMS 1.2.
The release 1.2 of SAMS supports the analysis of shotgun
reads within whole genome sequencing projects, as well as EST sequences,
covering prokaryotic and eukaryotic data analysis.
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