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Sequencher DNA序列分析软件是科学家们*的工具。持续发展和改进**过25年，Sequencher提供了**的功能特征，成千上万的出版物都有相关的应用介绍。新手用户可以以少的时间投资产生结果，而有经验的用户会惊叹于功能的深度和控制。Sequencher自带各种专有算法，可以为Sanger, Next-Gen Sequencing (NGS)和RNA-Seq序列数据生成结果。
Maq
Maq是Sequencher v5.0时被添加到插件家族中的。流行的Maq算法将Next-Generation数据的单端和成对端对准参考序列。初设计为对齐Illumina-Solexa数据，可以对齐任何短的读取数据（63 bases或更少）。参考序列可能是FastA或GenBank的文件形式。Maq使用二进制格式压缩引用和读取文件。重要的是，Maq需要很少的内存来运行，这使得执行下一代测序更*。它也适用于大约二百万个阅读的小项目，尽管有可能把较大的项目拆掉，然后合并结果。您的对齐结果可以在Maqview或Tablet中查看。
初Maq是在命令行上运行的。Sequencher提供了一个简单、易于使用的接口，它可以保护您不受命令行的影响，也不必学习如何使用命令行参数。
SAMtools的变异调用
已经排序和对齐，接下来检查使用新的变体调用特征对变体进行对齐。您是否已经把您的读数与我们的参考引导对齐或者您已经将您的SAM/BAM文件导出到别处，您仍然可以使用SAMtools的变量调用检查变量。
此分析可用于SNP耐受性对齐、甲基化耐受性对齐或GSNAP中的新RNA A-I编辑耐受模式。然后将生成的VCF文件和SAM文件加载到您喜欢的浏览器中，如果您没有自己喜欢的浏览器，可以用Tablet—我们DNA-Seq工具分布的一部分。提供带有注释的GTF文件的Tablet，您还可以在特性中看到变体。
MUSCLE is said to have four major steps in its alignment process. The first step constructs a distance matrix between pairs of sequences using k-mer clustering, this is then converted into a tree. The second step uses this tree to guide a progressive alignment. In the final two steps, the MUSCLE algorithm tries a number of different methods to see if it is possible to improve the tree and hence the multiple alignment.
Sequencher always maintains two copies of your data, the edited and the originally imported data. You can undo all or a portion of your edits when you apply the Revert to Experimental Data command to a selection of sequences in your project or to a selection of bases in a sequence.
MUSCLE
MUSCLE[2], a multiple-sequence alignment (MSA) program, joins the Sequencher 5.1 family of plugins. It joins Clustal, making it the second MSA program in Sequencher’s DNA-Seq Tools. Boasting both speed and accuracy, it compares very favorably [3] to other multiple-sequence alignment programs.
MUSCLE is said to have four major steps in its alignment process. The first step constructs a distance matrix between pairs of sequences using k-mer clustering, this is then converted into a tree. The second step uses this tree to guide a progressive alignment. In the final two steps, the MUSCLE algorithm tries a number of different methods to see if it is possible to improve the tree and hence the multiple alignment.
Once the process is complete and MUSCLE has built the alignment, you will see the results as a contig within Sequencher. Use Sequencher’s tools to annotate your alignment or export your alignment and place it into a special phylogenetics program.
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