DNAStar Lasergene. Lasergene is comprehensive software for DNA and protein sequence analysis, contig assembly, and sequence project management with an expanded next-generation sequencing assembly capability. All Cincinnati Children's. DNAStar, Inc., Madison. 1,585 likes 5 talking about this 5 were here. Is a global software company headquartered in Madison, WI. DNASTAR Lasergene (sometimes referred to as Lasergene) was added by yogev in Mar 2015 and the latest update was made in Dec 2020. The list of alternatives was updated Jul 2020. It's possible to update the information on DNASTAR Lasergene or report it as discontinued, duplicated or spam.
Lasergene is comprehensive software for DNA and protein sequence analysis, contig assembly, and sequence project management with an expanded next-generation sequencing assembly capability.
Available to
All Cincinnati Children's employees on CCHMC issued assets only.
Cost
Please refer to https://softrack.research.cchmc.org/software/ for current pricing.
License Type
5 concurrent users at CCHMC
Purchase Instructions
To place an order for DNAStar Lasergene software, you must login into the Softracksystem. You will need to place a separate request for each system on which you wish to have the software installed.
More information
If you are a user of this software, please make sure you are subscribed to the Lasergene mailing list so that we can keep you informed of software updates, etc.
For support or more information about Lasergene at Cincinnati Children's, please contact [email protected]
Training Videos
Author: Erik Winfree
Dnastar Manual
Publisher: American Mathematical Soc. ISBN: 9780821820537 Size: 11.25 MB Format: PDF View: 2827 Get Books
Dna Based Computers V
eBook File: Dna-based-computers-ii.PDF Book by Erik Winfree, Dna Based Computers V Books available in PDF, EPUB, Mobi Format. Download
Dynastar Manual
Dna Based Computers V books, This proceedings volume presents the talks from the Fifth Annual Meeting on DNA Based Computers held at MIT. The conference brought together researchers and theorists from many disciplines who shared research results in biomolecular computation. Two styles of DNA computing were explored at the conference: 1) DNA computing based on combinatorial search, where randomly created DNA strands are used to encode potential solutions to a problem, and constraints induced by the problem are used to identify DNA strands that are solution witnesses; and 2) DNA computing based on finite-state machines, where the state of a computation is encoded in DNA, which controls the biochemical steps that advance the DNA-based machine from state to state. Featured articles include discussions on the formula satisfiability problem, self-assembly and nanomachines, simulation and design of molecular systems, and new theoretical approaches.