

Introducing The Session Launcher - The new Sequencher Connections Session Launcher allows you to add and name new Sessions, list saved Sessions, and choose a Session to add more data to.New Sequencher Connections Menu Items - The existing menu commands for adding sequences to Sequencher Connections have been replaced with two new menu items for adding sequences to a Session or opening an existing Session.Sessions are saved and you may open saved Sessions at any time. Sequencher Connections Completely Rewritten - You can now open more than one Connections Session of the same type at a time.Click on a bar or spot to see the underlying data highlighted. Viewing Cuffdiff Differential Expression Data and Plots - View the results of your RNA-Seq Differential Expression analysis as Volcano, Scatter, or Bar charts.Viewing Interim Cufflinks Data and Plots - Explore your interim Cufflinks genes.fpkm_tracking and isoforms.fpkm_tracking files using the new Bar Chart with links to the underlying data.Cuffdiff Advanced Options - Sequencher gives you access to all of Cuffdiff's command line options through its innovative GUI.Cuffdiff - Cuffdiff performs the analyses and statistical tests to find significant changes in expression, splicing, and promotor usage.Cuffmerge - You can merge Cufflinks assemblies using Cuffmerge prior to performing Differential Expression analysis.Cufflinks Advanced Options - Sequencher gives you access to all of the Cufflinks command line options through its innovative GUI.Cufflinks - You can now assemble RNA-Seq reads into transcripts from SAM or BAM files using Cufflinks.Cufflinks, Cuffmerge, and Cuffdiff Added to External Data Browser - We have extended the External Data Browser so that you can manage and annotate your RNA-Seq runs.New RNA-Seq Tools Installer - We have created a single downloadable installer to add all the components you need to perform RNA-Seq analysis.RNA-Seq Differential Expression with Cufflinks Suite - You can now perform Differential Expression in Sequencher using Cufflinks.Pricing for Sequencer must be obtained by requesting a quote, which you can do here. It has many new capabilities that can reduce the time required to identify and validate heterozygotes and SNPs in your sequences. Sequencher capabilities include heterozygote and SNP detection and analysis, cDNA to Genomic DNA large gap alignment, comparative sequencing, support for confidence scores, ORF translation, GenBank feature import, and restriction enzyme mapping. Life Science researchers use Sequencher for many diverse DNA sequence analysis applications including de novo gene sequencing, mutation detection, forensic human identification, systematics, and more.

First released almost 15 years ago, Sequencher is currently used for sequence analysis tasks in every major genomic and pharmaceutical company as well as numerous academic and government labs in over 40 countries around the world. It works with all automated sequencers and is widely known for its lightning-fast contig assembly, short learning curve, user-friendly editing tools, and superb technical support.
Dna sequence viewer for mac software#
2003 Feb 34(2):374-8.Sequencher is the industry standard software for DNA sequence analysis. TM4: a free, open-source system for microarray data management and analysis. Saeed AI, Sharov V, White J, Li J, Liang W, Bhagabati N, Braisted J, Klapa M, Currier T, Thiagarajan M, Sturn A, Snuffin M, Rezantsev A, Popov D, Ryltsov A, Kostukovich E, Borisovsky I, Liu Z, Vinsavich A, Trush V, Quackenbush J. A huge array of alrogithms are included in MeV modules, and are available at a button-click, such as K-means clustering, Hierarchical clustering, t-Tests, Significance Analysis of Microarrays, Gene Set Enrichment Analysis, and EASE. MeV generates informative and interrelated displays of expression and annotation data from single or multiple experiments. A variety of normalization algorithms and clustering analyses allow the user flexibility in creating meaningful views of the expression data. Slides can be viewed one at a time in detail or in groups for comparison purposes. MeV allows the user to view processed microarray slide representations and identifies genes and expression patterns of interest.
