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|  | 80 | 
|  | 81 <p style='margin-top:0in;margin-right:0in;margin-bottom:6.4pt;margin-left:0in; | 
|  | 82 text-align:justify;background:white'><b><span lang=EN-GB style='color:black'>References</span></b></p> | 
|  | 83 | 
|  | 84 <p style='margin-top:0in;margin-right:0in;margin-bottom:6.4pt;margin-left:0in; | 
|  | 85 text-align:justify;background:white'><span lang=EN-GB style='color:black'>Gupta, | 
|  | 86 Namita T. and Vander Heiden, Jason A. and Uduman, Mohamed and Gadala-Maria, | 
|  | 87 Daniel and Yaari, Gur and Kleinstein, Steven H. (2015). <a name="OLE_LINK106"></a><a | 
|  | 88 name="OLE_LINK107"></a>Change-O: a toolkit for analyzing large-scale B cell | 
|  | 89 immunoglobulin repertoire sequencing data: Table 1. In<span | 
|  | 90 class=apple-converted-space> </span><em>Bioinformatics, 31 (20), pp. | 
|  | 91 3356–3358.</em><span class=apple-converted-space><i> </i></span>[</span><a | 
|  | 92 href="http://dx.doi.org/10.1093/bioinformatics/btv359" target="_blank"><span | 
|  | 93 lang=EN-GB style='color:#303030'>doi:10.1093/bioinformatics/btv359</span></a><span | 
|  | 94 lang=EN-GB style='color:black'>][</span><a | 
|  | 95 href="http://dx.doi.org/10.1093/bioinformatics/btv359" target="_blank"><span | 
|  | 96 lang=EN-GB style='color:#303030'>Link</span></a><span lang=EN-GB | 
|  | 97 style='color:black'>]</span></p> | 
|  | 98 | 
|  | 99 <p style='margin-top:0in;margin-right:0in;margin-bottom:6.4pt;margin-left:0in; | 
|  | 100 text-align:justify;background:white'><span lang=EN-GB style='color:black'> </span></p> | 
|  | 101 | 
|  | 102 <p style='margin-top:0in;margin-right:0in;margin-bottom:6.4pt;margin-left:0in; | 
|  | 103 text-align:justify;background:white'><a name="OLE_LINK110"><u><span lang=EN-GB | 
|  | 104 style='color:black'>All, IGA, IGG, IGM and IGE tabs</span></u></a></p> | 
|  | 105 | 
|  | 106 <p style='margin-top:0in;margin-right:0in;margin-bottom:6.4pt;margin-left:0in; | 
|  | 107 text-align:justify;background:white'><span lang=EN-GB style='color:black'>In | 
|  | 108 these tabs information on the clonal relation of transcripts can be found. To | 
|  | 109 calculate clonal relation Change-O is used (Gupta et al, PMID: 26069265). | 
|  | 110 Transcripts are considered clonally related if they have maximal three nucleotides | 
|  | 111 difference in their CDR3 sequence and the same first V segment (as assigned by | 
|  | 112 IMGT). Results are represented in a table format showing the clone size and the | 
|  | 113 number of clones or sequences with this clone size. Change-O settings used are | 
|  | 114 the </span><span lang=EN-GB>nucleotide hamming distance substitution model with | 
|  | 115 a complete distance of maximal three. For clonal assignment the first gene | 
|  | 116 segments were used, and the distances were not normalized. In case of | 
|  | 117 asymmetric distances, the minimal distance was used.<span style='color:black'> </span></span></p> | 
|  | 118 | 
|  | 119 <p style='margin-top:0in;margin-right:0in;margin-bottom:6.4pt;margin-left:0in; | 
|  | 120 text-align:justify;background:white'><span lang=EN-GB style='color:black'> </span></p> | 
|  | 121 | 
|  | 122 <p style='margin-top:0in;margin-right:0in;margin-bottom:6.4pt;margin-left:0in; | 
|  | 123 text-align:justify;background:white'><u><span lang=EN-GB style='color:black'>Overlap | 
|  | 124 tab</span></u><span lang=EN-GB style='color:black'> </span></p> | 
|  | 125 | 
|  | 126 <p style='margin-top:0in;margin-right:0in;margin-bottom:6.4pt;margin-left:0in; | 
|  | 127 text-align:justify;background:white'><span lang=EN-GB style='color:black'>This | 
|  | 128 tab gives information on with which (sub)classe(s) each unique analyzed region | 
|  | 129 (based on the exact nucleotide sequence of the analyzes region and the CDR3 | 
|  | 130 nucleotide sequence) is found with. This gives information if the combination | 
|  | 131 of the exact same nucleotide sequence of the analyzed region and the CDR3 | 
|  | 132 sequence can be found in multiple (sub)classes.</span></p> | 
|  | 133 | 
|  | 134 <p style='margin-top:0in;margin-right:0in;margin-bottom:6.4pt;margin-left:0in; | 
|  | 135 text-align:justify;background:white'><span style='color:black'><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA8AAAAPCAYAAAA71pVKAAAAzElEQVQoka2TwQ2CQBBFpwTshw4ImW8ogJMlUIMmhNCDxgasAi50oSXA8XlAjCG7aqKTzGX/vsnM31mzR0gk7tTudO5MEizpzvQ4ryUSe408J3Xn+grE0p1rnpOamVmWsZG4rS+dzzAMsN8Hi9yyjI1JNGtxu4VxBJgLRLpoTKIPiW0LlwtUVRTubW2OBGUJu92cZRmdfbKQMAw8o+vi5v0fLorZ7Y9waGYJjsf38DJz0O1PsEQffOcv4Sa6YYfDDJ5Obzbsp93+5VfdATueO1fdLdI0AAAAAElFTkSuQmCC"> Please note that this tab is based on all | 
|  | 136 sequences before filter unique sequences and the remove duplicates based on | 
| 45 | 137 filters are applied. In this table only sequences occuring more than once are | 
| 39 | 138 included. </span></p> | 
|  | 139 | 
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