Discovering Variants of Interest in Your Long-Read Data Matthew Keyser DNASTAR Senior Product Manager Presented by DNASTAR Senior Product Manager Matt Keyser, this webinar features a live demonstration of several applications in the Lasergene Genomics package, which now supports reference-guided assembly of long read data from PacBio or Oxford Nanopore Technologies (ONT) in addition to our existing de novo assembly workflows. In this 1-hour webinar, you will learn how to: Set up a reference guided assembly for PacBio or ONT data Specify variant calling options View structural varia ..read more

Choosing the right assembly strategy for NGS and long read sequencing data in SeqMan NGen Whether you are working with Illumina, Oxford Nanopore, PacBio data, or a combination of these, assembling a complete genome can be a challenge. Illumina and other NGS technologies produce highly accurate results, but the short reads can pose challenges in closing genomes. Newer long read sequencing technologies like those from Oxford Nanopore Technologies (ONT) and PacBio produce reads that can span all but the longest repeat elements in a genome. The lengths of these sequences make it possible to const ..read more

Introduction Long-read sequencing provides many advantages to earlier sequencing types, though it has some known disadvantages as well. PacBio HiFi sequencing produces long and accurate (>99.9%) sequence reads that are especially useful for de novo genome assembly. Lasergene Genomics supports both reference-guided and de novo assembly of PacBio HiFi, PacBio CLR or Oxford Nanopore Technologies (ONT) reads. The two de novo workflows include De novo assembly and De novo assembly and polishing. The former only requires data from a single sequencing platform and is the one we will be discuss ..read more

Effective Strategies for Aligning Sequences of All Sizes Brian Walsh, PhD DNASTAR Sales Manager Matthew Keyser DNASTAR Senior Product Manager Presented by DNASTAR Sales Manager Brian Walsh, PhD, and DNASTAR Senior Product Manager Matt Keyser, this webinar assumes no prior knowledge of MegAlign Pro or sequence alignment. Our presenters will start by showing how to create basic alignments and trees, then demonstrate how some of the newest features can simplify your phylogenetic analysis tasks. In this 1-hour webinar, you will learn how to: Perform simple or customized pairwise an ..read more

LASERGENE 17.5 RELEASE NOTES Lasergene 17.5 is now available to download. This release includes updates for: NGS and Sanger workflows in SeqMan NGen and SeqMan Ultra Multiple and pairwise sequence alignments in MegAlign Pro The DNASTAR License Server for network configurations* Java security updates SEE DETAILS Enhancements and updates for sequence assemblies and variant analysis include: Fast and accurate alignment and variant calling of PacBio HiFi and ONT long read data Improved reporting for metagenomics data In SeqMan Ultra, users can now save and share default project parame ..read more

LASERGENE 17.4.3 RELEASE NOTES Lasergene 17.4.3 is now available to download. This minor release addresses two issues that some users were experiencing in Protean 3D: NovaFold AI structure prediction results could be opened and view as expected in Protean 3D but could not be saved as .structure documents. Attempting to open a PDF file on a Mac could cause Protean 3D to become unresponsive. Note: Although Lasergene 17.4.3 includes updates specific to Protean 3D, all of the most current updates, including 17.4.2 for MegAlign Pro and 17.4.1 for all other applications are included in the c ..read more

By Matt Keyser, DNASTAR Senior Product Manager April 30, 2023 | Genomics Do you use software to assemble your NGS or long read data? If so, you might have questions about everything from long read data (“is it really any better than NGS?”) to whether or not the algorithm used for your assembly can be trusted. In this post, I’ll answer some recent DNASTAR customer questions related to NGS and long read sequence assembly. Whether you’re curious about normalization methods for RNA-Seq or wonder how Lasergene Genomics software recognizes poor-quality sequencing data, you can ..read more

Date: 4/27/2023 Version Affected:  Lasergene 17.3.2 to 17.4.2 Version Fixed: Lasergene 17.4.3 Issue: In the affected versions, Protean 3D cannot save or download NovaFold AI results as .structure documents. This failure occurs after clicking the job link in the Prediction panel then using the File > Save or File > Save As commands. Resolution: This issue was resolved with the release of Lasergene 17.4.3 on April 27, 2023. To install the latest version of Lasergene, go to the My Licenses page of our website. For further information, please contact DNASTAR at 866-511-5090 or sup ..read more

Date: 4/27/2023 Version Affected:  Lasergene 17.3.3 to 17.4.2 (Macintosh only) Version Fixed: Lasergene 17.4.3 Issue: In some circumstances, attempting to open a PDB file can cause Protean 3D to become unresponsive. This behavior has been observed only on Macintosh and only for Lasergene versions 17.3.3 to 17.4.2. Resolution: This issue was resolved with the release of Lasergene 17.4.3 on April 27, 2023. To install the latest version of Lasergene, go to the My Licenses page of our website. For further information, please contact DNASTAR at 866-511-5090 or support@dnastar.com. The p ..read more

Protein structure prediction software programs seek to solve one of the more essential bioinformatics quandaries: how can we determine the three-dimensional structure of a protein from its amino acid sequence? Important for both medicine and biotechnology, the task of protein structure prediction remains a complex question. All protein structure prediction algorithms utilize one or more of the following three approaches: Homology Modeling The underlying assumption in the homology modeling approach is that proteins with similar amino acid sequences will share similar structures. The homology m ..read more