Branch:
wxWidgets-wip
11.0
12.0
12.1
12.2
13.0
13.1
13.37
14.0
14.1
14.2
15.0
bedlam
bedlam-name-fixes
dive
erik
gitignore
libressl-gopher-test
master
misc-fixes
python-renames
rworkman
urchlay
user/aclemons/updates
user/anddt/development/acpica
user/anddt/development/glm
user/anddt/development/gnustep-base
user/anddt/development/gnustep-make
user/anddt/games/assaultcube-reloaded
user/anddt/games/doomseeker
user/anddt/games/prboom-plus
user/anddt/games/rocksndiamonds
user/anddt/games/rottexpr
user/anddt/games/srb2
user/anddt/graphics/blender
user/anddt/graphics/maim
user/anddt/ham/chirp
user/anddt/ham/hamlib
user/anddt/libraries/girara
user/anddt/libraries/goffice
user/anddt/libraries/gtksourceview4
user/anddt/libraries/imlib2
user/anddt/libraries/jsoncpp
user/anddt/libraries/libnova
user/anddt/libraries/libopenmpt
user/anddt/libraries/libtorrent
user/anddt/libraries/wxGTK3
user/anddt/libraries/xmlrpc-c
user/anddt/misc/discount
user/anddt/misc/slop
user/anddt/network/nethogs
user/anddt/network/putty
user/anddt/network/rclone
user/anddt/network/rtorrent
user/anddt/network/sshguard
user/anddt/network/strongswan
user/anddt/network/umurmur
user/anddt/network/yt-dlp
user/anddt/network/znc
user/anddt/office/gnumeric
user/anddt/office/sigil
user/anddt/system/FontAwesome
user/anddt/system/conky
user/anddt/system/fakeroot
user/anddt/system/hplip-plugin
user/anddt/system/postgresql
user/anddt/system/testdisk
user/anddt/system/worker
user/anddt/system/xen
user/anddt/system/zzzfm
user/belka/updates
user/chris.willing/updates
user/dslackw/updates
user/elyk/updates
user/kingbeowulf/updates
user/mario/updates
user/ponce/updates
user/pprkut/updates
willysr
wxWidgets-wip
GPG-KEY
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Heinz Wiesinger
63daf9f79a
All: Support $PRINT_PACKAGE_NAME env var
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| README | 9c795f8652 academic/WEVOTE: Added (WEighted VOting Taxonomic idEntification). | 5 years ago |
| References | 9c795f8652 academic/WEVOTE: Added (WEighted VOting Taxonomic idEntification). | 5 years ago |
| WEVOTE.SlackBuild | 63daf9f79a All: Support $PRINT_PACKAGE_NAME env var | 2 years ago |
| WEVOTE.info | 9c795f8652 academic/WEVOTE: Added (WEighted VOting Taxonomic idEntification). | 5 years ago |
| slack-desc | 9c795f8652 academic/WEVOTE: Added (WEighted VOting Taxonomic idEntification). | 5 years ago |
README
WEVOTE (WEighted VOting Taxonomic idEntification)
WEVOTE is a method that classifies metagenome shotgun sequencing DNA
reads based on an ensemble of existing methods using k-mer based,
marker-based, and naive-similarity based approaches. The performance
evaluation based on fourteen simulated microbiome datasets
consistently demonstrates that WEVOTE achieves a high level of
sensitivity and precision compared to the individual methods across
different taxonomic levels. The major advantage of the WEVOTE pipeline
is that the user can make the choice of which tools to use in order to
explore the trade-off between sensitivity, precision, time and memory.
The WEVOTE architecture is flexible so that additional taxonomic tools
can be easily added, or the current tools can be replaced by improved
ones. Moreover, the score assigned to the taxon for each read
indicates the confidence level of the assignment. This information is
especially useful for the assessment of false positive annotations at
a particular taxonomic level. The classification score given by WEVOTE
can be used for any downstream analysis that requires the high
confidence of the annotated sequences.
Publication:
Ahmed A. Metwally, Yang Dai, Patricia W. Finn, and David L. Perkins.
WEVOTE: Weighted Voting Taxonomic Identification Method of Microbial
Sequences.
PloS ONE, 2016.
WEVOTE is a method that classifies metagenome shotgun sequencing DNA
reads based on an ensemble of existing methods using k-mer based,
marker-based, and naive-similarity based approaches. The performance
evaluation based on fourteen simulated microbiome datasets
consistently demonstrates that WEVOTE achieves a high level of
sensitivity and precision compared to the individual methods across
different taxonomic levels. The major advantage of the WEVOTE pipeline
is that the user can make the choice of which tools to use in order to
explore the trade-off between sensitivity, precision, time and memory.
The WEVOTE architecture is flexible so that additional taxonomic tools
can be easily added, or the current tools can be replaced by improved
ones. Moreover, the score assigned to the taxon for each read
indicates the confidence level of the assignment. This information is
especially useful for the assessment of false positive annotations at
a particular taxonomic level. The classification score given by WEVOTE
can be used for any downstream analysis that requires the high
confidence of the annotated sequences.
Publication:
Ahmed A. Metwally, Yang Dai, Patricia W. Finn, and David L. Perkins.
WEVOTE: Weighted Voting Taxonomic Identification Method of Microbial
Sequences.
PloS ONE, 2016.