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Nucleic Acids Research
|
May 9, 2008
NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8-11
Claus Lundegaard, Kasper Lamberth, Mikkel Harndahl, et al.
Bioinformatics (Oxford, England)
|
October 3, 2017
RUCS: rapid identification of PCR primers for unique core sequences
Martin Christen Frølund Thomsen, Henrik Hasman, Henrik Westh, et al.
BMC Bioinformatics
|
November 2, 2007
Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction
Mette V Larsen, Claus Lundegaard, Kasper Lamberth, et al.
Plos One
|
January 18, 2017
ArrayPitope: Automated Analysis of Amino Acid Substitutions for Peptide Microarray-Based Antibody Epitope Mapping
Christian Skjødt Hansen, Thomas Østerbye, Paolo Marcatili, et al.
Journal of Clinical Microbiology
|
April 22, 2016
Application of Whole-Genome Sequencing Data for O-Specific Antigen Analysis and In Silico Serotyping of Pseudomonas aeruginosa Isolates
Sandra Wingaard Thrane, Véronique L Taylor, Ole Lund, et al.
The Journal of Heart Valve Disease
|
June 30, 2004
Predictable changes in left ventricular mass and function during ten years after valve replacement for aortic stenosis
Ole Lund, Mogens Erlandsen, Inge Dørup, et al.
Plos One
|
February 8, 2014
Evaluation of whole genome sequencing for outbreak detection of Salmonella enterica
Pimlapas Leekitcharoenphon, Eva M Nielsen, Rolf S Kaas, et al.
Frontiers in Microbiology
|
November 19, 2019
Improved Resistance Prediction in <i>Mycobacterium tuberculosis</i> by Better Handling of Insertions and Deletions, Premature Stop Codons, and Filtering of Non-informative Sites
Camilla Hundahl Johnsen, Philip T L C Clausen, Frank M Aarestrup, et al.
BMC Bioinformatics
|
November 25, 2010
Peptide binding predictions for HLA DR, DP and DQ molecules
Peng Wang, John Sidney, Yohan Kim, et al.
Journal of Biological Physics
|
August 12, 2009
Modelling the human immune system by combining bioinformatics and systems biology approaches
Nicolas Rapin, Can Kesmir, Sune Frankild, et al.
Page
of 19
Search research articles
Search
Showing results (51-60 of 182) with videos related to
Sort By:
Page
of 19
Nucleic Acids Research
|
May 9, 2008
NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8-11
Claus Lundegaard, Kasper Lamberth, Mikkel Harndahl, et al.
Bioinformatics (Oxford, England)
|
October 3, 2017
RUCS: rapid identification of PCR primers for unique core sequences
Martin Christen Frølund Thomsen, Henrik Hasman, Henrik Westh, et al.
BMC Bioinformatics
|
November 2, 2007
Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction
Mette V Larsen, Claus Lundegaard, Kasper Lamberth, et al.
Plos One
|
January 18, 2017
ArrayPitope: Automated Analysis of Amino Acid Substitutions for Peptide Microarray-Based Antibody Epitope Mapping
Christian Skjødt Hansen, Thomas Østerbye, Paolo Marcatili, et al.
Journal of Clinical Microbiology
|
April 22, 2016
Application of Whole-Genome Sequencing Data for O-Specific Antigen Analysis and In Silico Serotyping of Pseudomonas aeruginosa Isolates
Sandra Wingaard Thrane, Véronique L Taylor, Ole Lund, et al.
The Journal of Heart Valve Disease
|
June 30, 2004
Predictable changes in left ventricular mass and function during ten years after valve replacement for aortic stenosis
Ole Lund, Mogens Erlandsen, Inge Dørup, et al.
Plos One
|
February 8, 2014
Evaluation of whole genome sequencing for outbreak detection of Salmonella enterica
Pimlapas Leekitcharoenphon, Eva M Nielsen, Rolf S Kaas, et al.
Frontiers in Microbiology
|
November 19, 2019
Improved Resistance Prediction in <i>Mycobacterium tuberculosis</i> by Better Handling of Insertions and Deletions, Premature Stop Codons, and Filtering of Non-informative Sites
Camilla Hundahl Johnsen, Philip T L C Clausen, Frank M Aarestrup, et al.
BMC Bioinformatics
|
November 25, 2010
Peptide binding predictions for HLA DR, DP and DQ molecules
Peng Wang, John Sidney, Yohan Kim, et al.
Journal of Biological Physics
|
August 12, 2009
Modelling the human immune system by combining bioinformatics and systems biology approaches
Nicolas Rapin, Can Kesmir, Sune Frankild, et al.
Page
of 19