author_facet Nielsen, Morten
Andreatta, Massimo
Nielsen, Morten
Andreatta, Massimo
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
doi_str_mv 10.1186/s13073-016-0288-x
facet_avail Online
Free
finc_class_facet Biologie
Medizin
format ElectronicArticle
fullrecord blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE4Ni9zMTMwNzMtMDE2LTAyODgteA
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE4Ni9zMTMwNzMtMDE2LTAyODgteA
institution DE-Bn3
DE-Brt1
DE-Zwi2
DE-D161
DE-Zi4
DE-Gla1
DE-15
DE-Pl11
DE-Rs1
DE-14
DE-105
DE-Ch1
DE-L229
DE-D275
imprint Springer Science and Business Media LLC, 2016
imprint_str_mv Springer Science and Business Media LLC, 2016
issn 1756-994X
issn_str_mv 1756-994X
language English
mega_collection Springer Science and Business Media LLC (CrossRef)
match_str nielsen2016netmhcpan30improvedpredictionofbindingtomhcclassimoleculesintegratinginformationfrommultiplereceptorandpeptidelengthdatasets
publishDateSort 2016
publisher Springer Science and Business Media LLC
recordtype ai
record_format ai
series Genome Medicine
source_id 49
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
physical
description
container_issue 1
container_start_page 0
container_title Genome Medicine
container_volume 8
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
_version_ 1792345447965130755
geogr_code not assigned
last_indexed 2024-03-01T17:23:17.716Z
geogr_code_person not assigned
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=NetMHCpan-3.0%3B+improved+prediction+of+binding+to+MHC+class+I+molecules+integrating+information+from+multiple+receptor+and+peptide+length+datasets&rft.date=2016-12-01&genre=article&issn=1756-994X&volume=8&issue=1&jtitle=Genome+Medicine&atitle=NetMHCpan-3.0%3B+improved+prediction+of+binding+to+MHC+class+I+molecules+integrating+information+from+multiple+receptor+and+peptide+length+datasets&aulast=Andreatta&aufirst=Massimo&rft_id=info%3Adoi%2F10.1186%2Fs13073-016-0288-x&rft.language%5B0%5D=eng
SOLR
_version_ 1792345447965130755
author Nielsen, Morten, Andreatta, Massimo
author_facet Nielsen, Morten, Andreatta, Massimo, Nielsen, Morten, Andreatta, Massimo
author_sort nielsen, morten
container_issue 1
container_start_page 0
container_title Genome Medicine
container_volume 8
description
doi_str_mv 10.1186/s13073-016-0288-x
facet_avail Online, Free
finc_class_facet Biologie, Medizin
format ElectronicArticle
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
geogr_code not assigned
geogr_code_person not assigned
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE4Ni9zMTMwNzMtMDE2LTAyODgteA
imprint Springer Science and Business Media LLC, 2016
imprint_str_mv Springer Science and Business Media LLC, 2016
institution DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Zi4, DE-Gla1, DE-15, DE-Pl11, DE-Rs1, DE-14, DE-105, DE-Ch1, DE-L229, DE-D275
issn 1756-994X
issn_str_mv 1756-994X
language English
last_indexed 2024-03-01T17:23:17.716Z
match_str nielsen2016netmhcpan30improvedpredictionofbindingtomhcclassimoleculesintegratinginformationfrommultiplereceptorandpeptidelengthdatasets
mega_collection Springer Science and Business Media LLC (CrossRef)
physical
publishDate 2016
publishDateSort 2016
publisher Springer Science and Business Media LLC
record_format ai
recordtype ai
series Genome Medicine
source_id 49
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