Mercurial > repos > davidvanzessen > shm_csr
comparison shm_selection.htm @ 90:6809c63d9161 draft
"planemo upload commit fd64827ff6e63df008f6f50ddb8576ad2b1dbb26"
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date | Tue, 25 Jan 2022 11:28:29 +0000 |
parents | ba33b94637ca |
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3 <head> | 3 <head> |
4 <meta http-equiv=Content-Type content="text/html; charset=windows-1252"> | 4 <meta http-equiv=Content-Type content="text/html; charset=UTF-8"> |
5 <meta name=Generator content="Microsoft Word 14 (filtered)"> | 5 <meta name=Generator content="Microsoft Word 14 (filtered)"> |
6 <style> | 6 <style> |
7 <!-- | 7 <!-- |
8 /* Font Definitions */ | 8 /* Font Definitions */ |
9 @font-face | 9 @font-face |
53 <p class=MsoNormalCxSpMiddle style='text-align:justify'><span lang=EN-GB | 53 <p class=MsoNormalCxSpMiddle style='text-align:justify'><span lang=EN-GB |
54 style='font-size:12.0pt;line-height:115%;font-family:"Times New Roman","serif"; | 54 style='font-size:12.0pt;line-height:115%;font-family:"Times New Roman","serif"; |
55 color:black'>Yaari, G. and Uduman, M. and Kleinstein, S. H. (2012). Quantifying | 55 color:black'>Yaari, G. and Uduman, M. and Kleinstein, S. H. (2012). Quantifying |
56 selection in high-throughput Immunoglobulin sequencing data sets. In<span | 56 selection in high-throughput Immunoglobulin sequencing data sets. In<span |
57 class=apple-converted-space> </span><em>Nucleic Acids Research, 40 (17), | 57 class=apple-converted-space> </span><em>Nucleic Acids Research, 40 (17), |
58 pp. e134–e134.</em><span class=apple-converted-space><i> </i></span>[</span><span | 58 pp. e134–e134.</em><span class=apple-converted-space><i> </i></span>[</span><span |
59 lang=EN-GB><a href="http://dx.doi.org/10.1093/nar/gks457" target="_blank"><span | 59 lang=EN-GB><a href="http://dx.doi.org/10.1093/nar/gks457" target="_blank"><span |
60 style='font-size:12.0pt;line-height:115%;font-family:"Times New Roman","serif"; | 60 style='font-size:12.0pt;line-height:115%;font-family:"Times New Roman","serif"; |
61 color:#303030'>doi:10.1093/nar/gks457</span></a></span><span lang=EN-GB | 61 color:#303030'>doi:10.1093/nar/gks457</span></a></span><span lang=EN-GB |
62 style='font-size:12.0pt;line-height:115%;font-family:"Times New Roman","serif"; | 62 style='font-size:12.0pt;line-height:115%;font-family:"Times New Roman","serif"; |
63 color:black'>][</span><span lang=EN-GB><a | 63 color:black'>][</span><span lang=EN-GB><a |
92 the results of the analysis of antigen selection as performed using BASELINe. | 92 the results of the analysis of antigen selection as performed using BASELINe. |
93 Details on the analysis performed by BASELINe can be found in Yaari et al, | 93 Details on the analysis performed by BASELINe can be found in Yaari et al, |
94 PMID: 22641856. The settings used for the analysis are</span><span lang=EN-GB | 94 PMID: 22641856. The settings used for the analysis are</span><span lang=EN-GB |
95 style='font-size:12.0pt;line-height:115%;font-family:"Times New Roman","serif"'>: | 95 style='font-size:12.0pt;line-height:115%;font-family:"Times New Roman","serif"'>: |
96 focused, SHM targeting model: human Tri-nucleotide, custom bounderies. The | 96 focused, SHM targeting model: human Tri-nucleotide, custom bounderies. The |
97 custom boundries are dependent on the ‘sequence starts at filter’. </span></p> | 97 custom boundries are dependent on the ‘sequence starts at filter’. </span></p> |
98 | 98 |
99 <p class=MsoNormalCxSpMiddle style='line-height:normal'><span lang=NL | 99 <p class=MsoNormalCxSpMiddle style='line-height:normal'><span lang=NL |
100 style='font-family:UICTFontTextStyleBody;color:black'>Leader: | 100 style='font-family:UICTFontTextStyleBody;color:black'>Leader: |
101 1:26:38:55:65:104:-</span></p> | 101 1:26:38:55:65:104:-</span></p> |
102 | 102 |