![]() No command lines or abstruse single letter options, just point and click! You can choose from Reference-Guided algorithms or de novo assembly. This means that, if you learn to run one algorithm, then you have learned to run them all. It has standardized interfaces for all its NGS algorithms. Whether you are already working with NGS data or about to make that leap, Sequencher can make life so much easier. You can add new searches to existing ones and compare results over time, for example, using the consolidated Schematic view. In Connections, your results are saved with your project. BLAST results expire from the NCBI server after 30 to 36 hours. Instead of submitting your sequences one at a time via your web browser, you can submit sequences in a batch and monitor their status so you will know when your results are ready for viewing. Sequencher Connections is a new way of running BLAST, Primer- BLAST and Local- BLAST. Both tables allow you not only to export data but also to generate reports in PDF format which is great when you want to share your data with your colleagues. You can even view the impact on protein translation by viewing the Translated Variance Table. Studying these in the context of the contig can be hard work which is why we introduced the Variance Table which enables you to focus on just the differences and explore them within the context of the chromatograms because the table is linked to the underlying data. For some studies, looking at heterozygotes is an important step which is why you can Call Secondary Peaks, turning single base calls into the appropriate ambiguity codes. ![]() If you are only interested in the region spanned by the Reference Sequence, you can Trim to Reference Sequence. If you have missing information in your construct, you can use the Reference Sequence to fill in the blanks. The Reference Sequence is a powerful tool you can use for constructing alignments where the base number and directionality is set by the Reference Sequence, which can also provide annotation information if it has a GenBank Feature Table. With Assemble by Name, Sequencher can sort out which reads should be aligned by using information from the sequence naming scheme. A key problem is that you may be studying several samples at a time. Your data lacks confidence scores – no problem, use one of two methods (Consensus Inclusively or Consensus by Plurality) depending on your needs. You have confidence scores – great, use Consensus by Confidence. Once you are ready to assemble your sequences, then having a number of algorithms from which to choose is essential as is the choice of consensus calculation. To provide the best possible sequence, Sequencher gives you complete control over how you trim your data, and if you don't like how you trimmed it, then you can batch restore bases with clinical precision. ![]() Ease of use is something that Sequencher is built around. And if analysis is the bottleneck, then learning to perform the analysis needs to be made as easy as possible. It is imperative to obtain the best possible sequence so that one can be sure of one’s findings. Whatever you are studying, the bottleneck since the invention of DNA sequencing has remained the same, it is not in generating the data but in analysing it. You may be studying single gene or complex traits in humans or population studies in plants or animals. Studying the mechanisms of inheritance of normal and mutated genes became possible at the single base level. With the advent of DNA sequencing, the study of genetics took a major leap forward as this enabling technology entered every day usage.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |