Program activities recorded from implementation to 2006 were previously described. MBIS has been well-received by the Pitt research community and is now in its second decade of service. HSLS emulated the UW program in 2002 by hiring a PhD molecular biologist and developing a four-facet service with the following goals: (1) identify, procure, and implement commercially-licensed bioinformatics software, (2) teach hands-on workshops using bioinformatics tools to solve research questions, (3) provide in-person and email consultations on software/databases, and (4) maintain a web portal providing overall guidance on the access and use of bioinformatics resources and MBIS-created webtools. The UW service was initiated in 1995 and directed by a PhD scientist. The first library to offer a bioinformatics service was the University of Washington Health Sciences Library (UW). HSLS was an early pioneer in the implementation of a health sciences library-based bioinformatics support service. As shared-use facilities, libraries can leverage their operational infrastructure to provide a bioinformatics-focused information service by incorporating molecular databases and software into their collections and offer training on the use of these resources. Medical libraries traditionally support biomedical research by providing access to journals and books, procuring licenses for electronic resources, providing instructional workshops, and efficiently delivering digital content. In most biomedical research-intensive institutions, bioinformatics support is typically delivered through departments such as computational biology or biomedical informatics, or facilities such as the sequencing core. To help such researchers at the University of Pittsburgh (Pitt), the Health Sciences Library System (HSLS) established the Molecular Biology Information Service (MBIS) in 2002 as an innovative bioinformatics support service. It is very challenging for biomedical researchers to self-train and stay updated with this moving target. Additionally, the bioinformatics resources landscape changes at a rapid pace – the most sought-after resources can quickly become obsolete. Undergraduate and even graduate curricula do not routinely include mandatory bioinformatics classes. The opportunities for experimental biologists to receive bioinformatics training is often limited. Thriving in the current big data-intensive life sciences research environment requires proficiency in bioinformatics tools, which assist with the formulation of new hypotheses, the design of studies to test these hypotheses, and the analysis, interpretation, and validation of experimental results. In response to this data deluge, bioinformatics software and databases utilizing computational and statistical methods rapidly evolve. Following the successful completion of the Human Genome Project, initiatives such as the Human Microbiome Project, the ENCyclopedia of DNA Elements, The Cancer Genome Atlas, and the 1000 Genome Project continue to generate a massive catalog of biological datasets. First-time users of CLC Gx on our workstation computers must complete the Workstation Request Form.Recent advancement in molecular technologies such as massively parallel DNA sequencing, microarray platforms, and other high-throughput methodologies, generate substantial amounts of scientific data.All USC users can freely access the software on our workstation computers.Equipped with dual-CPU and 512GB RAM, one of our workstation computers is configured specifically to handle large data set and computationally intensive tasks such as de novo genome assembly and sequencing alignment.Wilson Dental Library, the University Park Campus.Norris Medical Library (RM203A), the Health Sciences Campus.The software has been installed on multiple workstation computers:.On workstation computers in the libraries.Mandatory registration is required for installing CLC Gx on your computer. Please submit the Local Installation Request Form.The computer must be connected to the USC network, either via Ethernet cable on campus or via USC VPN when using wireless (applies to both on- and off-campus wireless connections).Minimum hardware requirement for de novo assembly, metagenomics, and raw reads alignment:: 32GB RAM and Intel i7-6700 or faster processor.Minimum hardware requirement for general use: 16GB RAM and Intel i7-2600 or faster processor.The license consists of TWO concurrent user seats. USC has licensed CLC Gx for the free use of USC faculty, students and staff.
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