We have overcome the challenge to analyze high-throughput sequencing data faster than it is produced by implementing a SIMD-accelerated assembly algorithm in our next generation sequencing solution, CLC Genomics Workbench – a cross-platform desktop application with a graphical user-interface.CLC Genomics Workbench, for analyzing and visualizing next generation sequencing data, incorporates cutting-edge technology and algorithms, while also supporting and integrating with the rest of your typical NGS workflow.CLC Genomics Workbench is available for Windows, Mac OS X, and Linux platforms.
Abstract Advancements in high-throughput nucleotide sequencing techniques have brought with them state-of-the-art bioinformatics programs and software packages. Given the importance of molecular sequence data in contemporary life science research, these software suites are becoming an essential component of many labs and classrooms, and as such are frequently designed for non-computer specialists and marketed as one-stop bioinformatics toolkits. Although beautifully designed and powerful, user-friendly bioinformatics packages can be expensive and, as more arrive on the market each year, it can be difficult for researchers, teachers and students to choose the right software for their needs, especially if they do not have a bioinformatics background. This review highlights some of the currently available and most popular commercial bioinformatics packages, discussing their prices, usability, features and suitability for teaching. Although several commercial bioinformatics programs are arguably overpriced and overhyped, many are well designed, sophisticated and, in my opinion, worth the investment.
If you are just beginning your foray into molecular sequence analysis or an experienced genomicist, I encourage you to explore proprietary software bundles. They have the potential to streamline your research, increase your productivity, energize your classroom and, if anything, add a bit of zest to the often dry detached world of bioinformatics.
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Description of CLC Main Workbench CLC Main Workbench includes all features and functions of CLC DNA Workbench, CLC RNA Workbench, and CLC Protein Workbench.Advanced computer skills are not required. Due to a unique graphical user interface CLC Main Workbench is easy and intuitive to use, and the comprehensive user manual explains all the details. CLC Genomics Workbench는 최근 Next Generation Sequencing 기술의 발달로 기존보다 수십 배, 수백 배. NGS 포맷(Roche, Illumina, Ion torrent, Helicos data)의 분석을 지원하며, SIMD 기술의 적용으로 막대한 양의. Mac OS X 10.7 or later.
,,, INTRODUCTION Most mornings I wake up to a slew of spam email from biotech companies offering unbeatable bargains on next-generation sequencing (NGS). Yesterday, for example, Beckman Coulter kindly offered to ‘take the stress out of sequencing’ for only a few thousand dollars. Illumina recently provided me with ‘a glimpse into the future of genomics’, just by clicking on their buyer’s guide.
And Macrogen, a South Korean sequencing conglomerate, dared me to race the HiSeq ‘Xpressway to the $1000 genome’. These irritating emails underscore an important point: massively parallel sequencing has arrived to the masses. NGS is now standard fare in almost all facets of life science research []. It is also big business and intimately tied to another burgeoning industry—bioinformatics [].
Anyone who has ever had something sequenced, such as a genome, transcriptome, gene or PCR product, or used nucleotide or protein sequence data in their research has probably dabbled in bioinformatics. Not long after scientists started generating molecular sequence information, computer-savvy biologists and biology-savvy computer scientists began developing programs to analyse those data [].
Given the breadth and depth of questions that can be addressed with primary biological sequence information, many of these programs have become immensely popular. For example, the journal article describing the basic local alignment search tool (BLAST), which allows a query nucleotide or amino acid sequence to be compared against a database of sequences, has been cited >50 000 times [].