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NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets
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Zeitschriftentitel: | Genome Medicine |
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Personen und Körperschaften: | , |
In: | Genome Medicine, 8, 2016, 1 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Springer Science and Business Media LLC
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Schlagwörter: |
author_facet |
Nielsen, Morten Andreatta, Massimo Nielsen, Morten Andreatta, Massimo |
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author |
Nielsen, Morten Andreatta, Massimo |
spellingShingle |
Nielsen, Morten Andreatta, Massimo Genome Medicine NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets Genetics (clinical) Genetics Molecular Biology Molecular Medicine |
author_sort |
nielsen, morten |
spelling |
Nielsen, Morten Andreatta, Massimo 1756-994X Springer Science and Business Media LLC Genetics (clinical) Genetics Molecular Biology Molecular Medicine http://dx.doi.org/10.1186/s13073-016-0288-x NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets Genome Medicine |
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10.1186/s13073-016-0288-x |
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Springer Science and Business Media LLC, 2016 |
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2016 |
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Springer Science and Business Media LLC |
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Genome Medicine |
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title |
NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
title_unstemmed |
NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
title_full |
NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
title_fullStr |
NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
title_full_unstemmed |
NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
title_short |
NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
title_sort |
netmhcpan-3.0; improved prediction of binding to mhc class i molecules integrating information from multiple receptor and peptide length datasets |
topic |
Genetics (clinical) Genetics Molecular Biology Molecular Medicine |
url |
http://dx.doi.org/10.1186/s13073-016-0288-x |
publishDate |
2016 |
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author | Nielsen, Morten, Andreatta, Massimo |
author_facet | Nielsen, Morten, Andreatta, Massimo, Nielsen, Morten, Andreatta, Massimo |
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issn | 1756-994X |
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publisher | Springer Science and Business Media LLC |
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spelling | Nielsen, Morten Andreatta, Massimo 1756-994X Springer Science and Business Media LLC Genetics (clinical) Genetics Molecular Biology Molecular Medicine http://dx.doi.org/10.1186/s13073-016-0288-x NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets Genome Medicine |
spellingShingle | Nielsen, Morten, Andreatta, Massimo, Genome Medicine, NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets, Genetics (clinical), Genetics, Molecular Biology, Molecular Medicine |
title | NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
title_full | NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
title_fullStr | NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
title_full_unstemmed | NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
title_short | NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
title_sort | netmhcpan-3.0; improved prediction of binding to mhc class i molecules integrating information from multiple receptor and peptide length datasets |
title_unstemmed | NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets |
topic | Genetics (clinical), Genetics, Molecular Biology, Molecular Medicine |
url | http://dx.doi.org/10.1186/s13073-016-0288-x |