The Data Management, Analysis and Resources Dissemination Core will support the goals of the Broad Genomic Center for Infectious Diseases (GCID) by providing the software infrastructure and tools required for resource and data management, tracking, analysis and dissemination. The Data Core will leverage existing systems and the significant expertise of its personnel to establish and maintain an efficient resource and sample management process, develop a central data management and analysis infrastructure to support the scientific goals of the center, and ensure that high quality data are released rapidly to the scientific community in accordance with NIAID guidelines and instructions. The software infrastructure will flexibly and scalably support large-scale genome assembly, annotation, variant identification, transcriptome reconstruction, phylogenetic and functional comparisons and metagenomic data processing and analysis
The Data Core will be an essential component of the GCID providing the component projects with a set of common production processes supported by a robust compute infrastructure that enables high-throughput sample tracking, metadata and data management, large scale analysis and the rapid release of high quality data and associated resources.
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| Sephton-Clark, Poppy C S; Muñoz, Jose F; Ballou, Elizabeth R et al. (2018) Pathways of Pathogenicity: Transcriptional Stages of Germination in the Fatal Fungal Pathogen Rhizopus delemar. mSphere 3: |
| Ene, Iuliana V; Farrer, Rhys A; Hirakawa, Matthew P et al. (2018) Global analysis of mutations driving microevolution of a heterozygous diploid fungal pathogen. Proc Natl Acad Sci U S A 115:E8688-E8697 |
| Siddle, Katherine J; Eromon, Philomena; Barnes, Kayla G et al. (2018) Genomic Analysis of Lassa Virus during an Increase in Cases in Nigeria in 2018. N Engl J Med 379:1745-1753 |
| Brennan-Krohn, Thea; Pironti, Alejandro; Kirby, James E (2018) Synergistic Activity of Colistin-Containing Combinations against Colistin-Resistant Enterobacteriaceae. Antimicrob Agents Chemother 62: |
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| Schaffner, Stephen F; Taylor, Aimee R; Wong, Wesley et al. (2018) hmmIBD: software to infer pairwise identity by descent between haploid genotypes. Malar J 17:196 |
| Farrer, Rhys A; Ford, Christopher B; Rhodes, Johanna et al. (2018) Transcriptional Heterogeneity of Cryptococcus gattii VGII Compared with Non-VGII Lineages Underpins Key Pathogenicity Pathways. mSphere 3: |
| Myhrvold, Cameron; Freije, Catherine A; Gootenberg, Jonathan S et al. (2018) Field-deployable viral diagnostics using CRISPR-Cas13. Science 360:444-448 |
| Cuomo, Christina A; Rhodes, Johanna; Desjardins, Christopher A (2018) Advances in Cryptococcus genomics: insights into the evolution of pathogenesis. Mem Inst Oswaldo Cruz 113:e170473 |
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