tag:joss.theoj.org,2005:/papers/tagged/CHIRPSJournal of Open Source Software2020-08-17T04:46:00ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/17552020-08-17T04:46:00Z2021-02-15T11:30:27ZChips-n-Salsa: A Java Library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithmsacceptedv1.02020-06-19 14:49:21 UTC522020-08-17 04:46:00 UTC520202448VincentA.CicirelloComputer Science, School of Business, Stockton University, Galloway, NJ 082050000-0003-1072-855910.21105/joss.02448https://doi.org/10.5281/zenodo.3974614Javahttps://joss.theoj.org/papers/10.21105/joss.02448.pdfstochastic local search, parallel metaheuristics, self-adaptive, simulated annealing, discrete optimization, combinatorial optimizationtag:joss.theoj.org,2005:Paper/18132020-07-01T17:21:44Z2021-02-15T11:30:23Zchirps: API Client for the CHIRPS Precipitation Data in Racceptedv0.1.02020-07-01 09:15:25 UTC512020-07-01 17:21:44 UTC520202419Kauêde SousaDepartment of Agricultural Sciences, Inland Norway University of Applied Sciences, Hamar, Norway, Bioversity International, Rome, Italy0000-0002-7571-7845AdamH.SparksCentre for Crop Health, University of Southern Queensland, Toowoomba, Australia0000-0002-0061-8359WilliamAshmallUniversities Space Research Association, National Aeronautics and Space Administration (NASA), Huntsville, USAJacobvan EttenBioversity International, Rome, Italy0000-0001-7554-2558SveinØ.SolbergDepartment of Agricultural Sciences, Inland Norway University of Applied Sciences, Hamar, Norway0000-0002-4491-448310.21105/joss.02419https://doi.org/10.5281/zenodo.3925143Rhttps://joss.theoj.org/papers/10.21105/joss.02419.pdfCHIRPS, climate data, climatology, earth science, evapotranspiration, precipitation data, reproducibility, weather datatag:joss.theoj.org,2005:Paper/10022019-06-06T14:47:49Z2021-02-15T11:32:10ZA reproducible Snakemake pipeline to analyse Illumina paired-end data from ChiP-Seq experimentsacceptedv1.2.02019-05-17 15:30:39 UTC382019-06-06 14:47:49 UTC420191465JihedChouarefSwammerdam Institute for Life Sciences, University of Amsterdam0000-0003-3865-896XMattijsBliekSwammerdam Institute for Life Sciences, University of Amsterdam0000-0002-0488-4873MarcGallandSwammerdam Institute for Life Sciences, University of Amsterdam0000-0003-2161-868910.21105/joss.01465https://doi.org/10.5281/zenodo.3240026Pythonhttps://joss.theoj.org/papers/10.21105/joss.01465.pdfSnakemake, ChIP-seq, Deeptools, Biocondatag:joss.theoj.org,2005:Paper/9042019-03-26T06:26:04Z2021-02-15T11:32:29ZChiRP: Chinese Restaurant Process Mixtures for Regression and Clusteringaccepted1.0.02019-02-27 04:18:29 UTC352019-03-26 06:26:04 UTC420191287ArmanOganisianDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania0000-0002-0437-461110.21105/joss.01287https://doi.org/10.5281/zenodo.2591600Rhttps://joss.theoj.org/papers/10.21105/joss.01287.pdfBayesian, Nonparametric, Clustering, Dirichlet Process, Chinese Restaurant