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A number of methods exist to identify biases during sequencing or alignment, yet not many tools exist to interpret biases due to outliers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Hence, we developed iSeqQC, an expression-based QC tool that detects outliers either produced due to variable laboratory conditions or due to dissimilarity within a phenotypic group. iSeqQC implements various statistical approaches including unsupervised clustering, agglomerative hierarchical clustering and correlation coefficients to provide insight into outliers. It can be utilized through command-line (Github:\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/github.com\/gkumar09\/iSeqQC\">https:\/\/github.com\/gkumar09\/iSeqQC<\/jats:ext-link>\n                      ) or web-interface (\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/cancerwebpa.jefferson.edu\/iSeqQC\">http:\/\/cancerwebpa.jefferson.edu\/iSeqQC<\/jats:ext-link>\n                      ). A local shiny installation can also be obtained from github (\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/github.com\/gkumar09\/iSeqQC\">https:\/\/github.com\/gkumar09\/iSeqQC<\/jats:ext-link>\n                      ).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>iSeqQC is a fast, light-weight, expression-based QC tool that detects outliers by implementing various statistical approaches.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12859-020-3399-8","type":"journal-article","created":{"date-parts":[[2020,2,13]],"date-time":"2020-02-13T11:05:16Z","timestamp":1581591916000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["iSeqQC: a tool for expression-based quality control in RNA sequencing"],"prefix":"10.1186","volume":"21","author":[{"given":"Gaurav","family":"Kumar","sequence":"first","affiliation":[]},{"given":"Adam","family":"Ertel","sequence":"additional","affiliation":[]},{"given":"George","family":"Feldman","sequence":"additional","affiliation":[]},{"given":"Joan","family":"Kupper","sequence":"additional","affiliation":[]},{"given":"Paolo","family":"Fortina","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,13]]},"reference":[{"key":"3399_CR1","unstructured":"Andrew S. 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