ClassyFlu: classification of influenza A viruses with Discriminatively trained profile-HMMs

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Avian influenza Overview of Virus Metagenomic Classification Methods and Their Biological Applications.

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ClassyFlu: classification of influenza A viruses with Discriminatively trained profile-HMMs

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scientific article published on 03 January 2014

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ClassyFlu: classification of i ...... inatively trained profile-HMMs

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ClassyFlu: classification of i ...... natively trained profile-HMMs.

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ClassyFlu: classification of i ...... inatively trained profile-HMMs

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ClassyFlu: classification of i ...... natively trained profile-HMMs.

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ClassyFlu: classification of i ...... inatively trained profile-HMMs

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ClassyFlu: classification of i ...... natively trained profile-HMMs.

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ClassyFlu: classification of i ...... inatively trained profile-HMMs

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Anne Pohlmann

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Ingo Bulla

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Mario Stanke

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Mario Ziller

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Sandra Van der Auwera

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MUSCLE: multiple sequence alignment with high accuracy and high throughput

Jalview Version 2--a multiple sequence alignment editor and analysis workbench

Basic local alignment search tool

Crystal structures of two subtype N10 neuraminidase-like proteins from bat influenza A viruses reveal a diverged putative active site

New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0

jModelTest: phylogenetic model averaging

MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods

Approximate likelihood-ratio test for branches: A fast, accurate, and powerful alternative

Accelerated Profile HMM Searches

Multiple alignment of DNA sequences with MAFFT

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scholarly article

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10.1371/JOURNAL.PONE.0084558

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English

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Sandra Van der Auwera

Timm C Harder

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2014-01-03T00:00:00Z

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259631635

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ClassyFlu: classification of influenza A viruses with Discriminatively trained profile-HMMs

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ClassyFlu: classification of influenza A viruses with Discriminatively trained profile-HMMs

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P1476

P2093

P2860

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P2860

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P407

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P478

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P5875

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