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Added new entries as requested.

[SVN r30622]
This commit is contained in:
John Maddock 2005-08-22 10:52:23 +00:00
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@ -655,6 +655,44 @@ Boost components used include
and [@../../libs/test/index.html the Test Framework].
]
[blurb [*CBCanaylzer]\n\n
[@http://www.biozentrum.uni-wuerzburg.de/index.php?id=524 CBCanaylzer]
is developed by the Department of Bioinformatics,
at the University of Wuerzburg.\n\n
['"CBCAnalyzer (CBC = compensatory base change) is a tool to create ``small''
phylogenetic trees from sequence alignments. To measure the distance of sequences
the compensatory base changes are detected and counted. The bionj
algorithm is then used to construct a tree. CBCAnalyzer is available on
Windows, Linux and partly works on MacOSX. \n\n
Boost libraries used:
[@../../libs/program_options/index.html Program Options]
- creates really nice output, and is both easy to extend and simple to handle.
[@../../libs/iterator/index.html Iterator],
[@../../libs/spirit/index.html Spirit]
- Saved a lot of my time, and makes the vast amount of biological file
formats simple to support,
[@../../libs/smart_ptr/index.html Shared Pointer],
[@../../libs/lambda/index.html Lambda].]
]
[blurb [*Profdist]\n\n
[@http://www.biozentrum.uni-wuerzburg.de/index.php?id=523 Profdist]
is developed by the Department of Bioinformatics, at the University of Wuerzburg.\n\n
['"Profdist is a tool for the construction of large phylogenetic trees based on
profile distances. The input alignment data gets extended by random
picking of rows, and a clustering technique is used to create profiles
of the most frequent subtrees. The iterative approach allows working on
large datasets. Currently the application is very limited by the quality of
wxWidgets, and only available for Windows and Linux. \n\n
The Boost librarie sued were:
[@../../libs/algorithm/string/index.html String Algorithms],
[@../../libs/ref/index.html Ref],
[@../../libs/iterator/index.html Iterator],
[@../../libs/spirit/index.html Spirit],
[@../../libs/smart_ptr/index.html Shared Pointer] and
[@../../libs/lambda/index.html Lambda]."]
]
[endsect]
[section:inhouse In House Boost]
@ -749,6 +787,30 @@ We use the following Boost libraries in approximate order of frequency of use:
[@../../libs/tokenizer/index.html Tokenizer]."]
]
[blurb [*Rational Discovery LLC]\n\n
[@http://www.rationaldiscovery.com Rational Discovery]
provides computational modeling, combinatorial
library design and custom software development services to the
pharmaceutical, biotech and chemical industries.\n\n
['"We do a substantial amount of internal research to develop new
approaches for applying machine-learning techniques to solve chemical
problems. Because we're a small organization and chemistry is a large
and complex field, it is essential that we be able to quickly and
easily prototype and test new algorithms. We have found the Boost
libraries, a reliable source of high-quality code, to be
indispensable.\n\n
Boost libraries used:
[@../../libs/python/index.html Python],
[@../../libs/graph/index.html Graph],
[@../../libs/smart_ptr/index.html Smart Pointer],
[@../../libs/any/index.html Any],
[@../../libs/conversion/lexical_cast.htm Lexical Cast],
[@../../libs/random/index.html Random],
[@../../libs/algorithm/string/index.html String Algorithms],
[@../../libs/tuple/index.html Tuple],
[@../../libs/numeric/ublas/index.html uBLAS]."]
]
[blurb [*Archelon LLC]\n\n
[@http://www.archelon-us.com Archelon LLC] is a global securities firm
headquartered in Chicago. We actively trade equities, futures and