Ветка:
user/anddt/development/glm
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
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libressl-gopher-test
master
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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
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user/anddt/graphics/blender
user/anddt/graphics/maim
user/anddt/ham/chirp
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user/anddt/office/gnumeric
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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
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user/dslackw/updates
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willysr
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Heinz Wiesinger
63daf9f79a
All: Support $PRINT_PACKAGE_NAME env var
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3 лет назад | |
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| .. | ||
| README | 2183ac8328 academic/stringtie: Added (Assembler of RNA-Seq alignments). | 5 лет назад |
| slack-desc | 2183ac8328 academic/stringtie: Added (Assembler of RNA-Seq alignments). | 5 лет назад |
| stringtie.SlackBuild | 63daf9f79a All: Support $PRINT_PACKAGE_NAME env var | 3 лет назад |
| stringtie.info | d3c2b0f3c7 academic/stringtie: Updated for version 1.3.6. | 5 лет назад |
README
StringTie is a fast and highly efficient assembler of RNA-Seq
alignments into potential transcripts. It uses a novel network flow
algorithm as well as an optional de novo assembly step to assemble and
quantitate full-length transcripts representing multiple splice
variants for each gene locus. Its input can include not only the
alignments of raw reads used by other transcript assemblers, but also
alignments longer sequences that have been assembled from those reads.
In order to identify differentially expressed genes between
experiments, StringTie's output can be processed by specialized
software like Ballgown, Cuffdiff or other programs (DESeq2, edgeR).
alignments into potential transcripts. It uses a novel network flow
algorithm as well as an optional de novo assembly step to assemble and
quantitate full-length transcripts representing multiple splice
variants for each gene locus. Its input can include not only the
alignments of raw reads used by other transcript assemblers, but also
alignments longer sequences that have been assembled from those reads.
In order to identify differentially expressed genes between
experiments, StringTie's output can be processed by specialized
software like Ballgown, Cuffdiff or other programs (DESeq2, edgeR).