tag:joss.theoj.org,2005:/papers/tagged/deep%20mutational%20scanningJournal of Open Source Software2020-08-17T05:57:27ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/17042020-08-17T05:57:27Z2021-02-15T11:30:35Zdms-view: Interactive visualization tool for deep mutational scanning dataacceptedv1.0.02020-06-01 21:39:22 UTC522020-08-17 05:57:27 UTC520202353SarahK.HiltonDivision of Basic Sciences and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA, Department of Genome Sciences, University of Washington, Seattle, WA, USA0000-0001-9278-3644JohnHuddlestonVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA, Molecular and Cell Biology, University of Washington, Seattle, WA, USA0000-0002-4250-2063AllisonBlackVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA, Department of Epidemiology, University of Washington, Seattle, WA, USA0000-0002-6618-4127KhrystynaNorthDivision of Basic Sciences and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA, Department of Genome Sciences, University of Washington, Seattle, WA, USAAdamS.DingensDivision of Basic Sciences and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA0000-0001-9603-9409TrevorBedfordVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA0000-0002-4039-5794JesseD.BloomDivision of Basic Sciences and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA, Department of Genome Sciences, University of Washington, Seattle, WA, USA, Howard Hughes Medical Institute, Seattle, WA, USA0000-0003-1267-340810.21105/joss.02353https://doi.org/10.5281/zenodo.3986155Ruby, JavaScript, Pythonhttps://joss.theoj.org/papers/10.21105/joss.02353.pdfJavascript, D3, molecular biology, protein evolution, data visualizationtag:joss.theoj.org,2005:Paper/13402019-12-11T23:26:26Z2021-02-15T11:31:21Zalignparse: A Python package for parsing complex features from high-throughput long-read sequencingaccepted0.1.02019-11-19 23:52:10 UTC442019-12-11 23:26:26 UTC420191915KatharineH.d.CrawfordBasic Sciences and Computational Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA, Department of Genome Sciences and Medical Scientist Training Program, University of Washington, Seattle, Washington, USA0000-0002-6223-4019JesseD.BloomBasic Sciences and Computational Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA, Howard Hughes Medical Institute, Seattle, Washington, USA0000-0003-1267-340810.21105/joss.01915https://doi.org/10.5281/zenodo.3569587Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.01915.pdfPacBio, deep mutational scanning, single-cell virus sequencing, genomics, sequencingtag:joss.theoj.org,2005:Paper/2232017-12-07T16:24:14Z2021-02-15T11:34:03Zdms2dfe: Comprehensive Workflow for Analysis of Deep Mutational Scanning Dataacceptedv1.0.62017-07-06 09:56:08 UTC202017-12-07 16:24:14 UTC22017362RohanDandageCSIR-Institute of Genomics and Integrative Biology, New Delhi, India.0000-0002-6421-2067KausikChakrabortyCSIR-Institute of Genomics and Integrative Biology, New Delhi, India.0000-0001-6000-837910.21105/joss.00362https://doi.org/10.5281/zenodo.1095257Python, Rhttps://joss.theoj.org/papers/10.21105/joss.00362.pdfdeep sequencing, mutations