{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T14:42:36Z","timestamp":1772548956881,"version":"3.50.1"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T00:00:00Z","timestamp":1535500800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Health and Medical Research Council of Australia","award":["#1062227"],"award-info":[{"award-number":["#1062227"]}]},{"name":"National Health and Medical Research Council of Australia","award":["#1061409"],"award-info":[{"award-number":["#1061409"]}]},{"name":"National Health and Medical Research Council of Australia","award":["#1061435"],"award-info":[{"award-number":["#1061435"]}]},{"name":"Australian Heart Foundation"},{"name":"Australian Government Research Training Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,3,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>A common goal of microbiome studies is the elucidation of community composition and member interactions using counts of taxonomic units extracted from sequence data. Inference of interaction networks from sparse and compositional data requires specialized statistical approaches. A popular solution is SparCC, however its performance limits the calculation of interaction networks for very high-dimensional datasets. Here we introduce FastSpar, an efficient and parallelizable implementation of the SparCC algorithm which rapidly infers correlation networks and calculates P-values using an unbiased estimator. We further demonstrate that FastSpar reduces network inference wall time by 2\u20133 orders of magnitude compared to SparCC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>FastSpar source code, precompiled binaries and platform packages are freely available on GitHub: github.com\/scwatts\/FastSpar<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Supplementary information<\/jats:title>\n                    <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty734","type":"journal-article","created":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T08:22:44Z","timestamp":1535530964000},"page":"1064-1066","source":"Crossref","is-referenced-by-count":333,"title":["FastSpar: rapid and scalable correlation estimation for compositional data"],"prefix":"10.1093","volume":"35","author":[{"given":"Stephen C","family":"Watts","sequence":"first","affiliation":[{"name":"Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Australia"}]},{"given":"Scott C","family":"Ritchie","sequence":"additional","affiliation":[{"name":"Systems Genomics Lab, Baker Heart & Diabetes Institute, Melbourne, Australia"},{"name":"Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK"},{"name":"Department of Clinical Pathology and School of BioSciences, The University of Melbourne, Parkville, Australia"}]},{"given":"Michael","family":"Inouye","sequence":"additional","affiliation":[{"name":"Systems Genomics Lab, Baker Heart & Diabetes Institute, Melbourne, Australia"},{"name":"Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK"},{"name":"Department of Clinical Pathology and School of BioSciences, The University of Melbourne, Parkville, Australia"}]},{"given":"Kathryn E","family":"Holt","sequence":"additional","affiliation":[{"name":"Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Australia"}]}],"member":"286","published-online":{"date-parts":[[2018,8,29]]},"reference":[{"key":"2023013107261470800_bty734-B1","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1111\/j.2517-6161.1982.tb01195.x","article-title":"The statistical analysis of compositional data","volume":"44","author":"Aitchison","year":"1982","journal-title":"J. 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