Feedback Models for Learning, Teaching and Performance

Autor: Molloy, EK, Boud, D

© Springer Science+Business Media New York 2014. All rights reserved. This chapter focuses on the role of feedback in learning with particular emphasis on its effect on learner performance, motivation and self-regulation. The authors provide a criti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3a90940c033a501b85a110e21500265b
https://hdl.handle.net/10453/139579

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Lightweight taxonomic profiling of long-read metagenomic datasets with Lemur and Magnet.

Autor: Sapoval N; Department of Computer Science, Rice University, Houston, TX 77005, USA., Liu Y; Department of Computer Science, Rice University, Houston, TX 77005, USA., Curry KD; Department of Computer Science, Rice University, Houston, TX 77005, USA., Kille B; Department of Computer Science, Rice University, Houston, TX 77005, USA., Huang W; Department of Computer Science, Rice University, Houston, TX 77005, USA., Kokroko N; Department of Computer Science, Rice University, Houston, TX 77005, USA., Nute MG; Department of Computer Science, Rice University, Houston, TX 77005, USA., Tyshaieva A; Department of Computer Science, University of Maryland, College Park, MD 20742, USA., Dilthey A; Department of Computer Science, University of Maryland, College Park, MD 20742, USA., Molloy EK; Department of Bioengineerings, Rice University, Houston, TX 77005, USA., Treangen TJ; Department of Computer Science, Rice University, Houston, TX 77005, USA.; Department of Bioengineerings, Rice University, Houston, TX 77005, USA.

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Severus: accurate detection and characterization of somatic structural variation in tumor genomes using long reads.

Autor: Keskus A; Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA., Bryant A; Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA., Ahmad T; Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA., Yoo B; Children's Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA., Aganezov S; Oxford Nanopore Technologies, NY, USA., Goretsky A; Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.; Department of Computer Science, University of Maryland, College Park, MD, USA., Donmez A; Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.; Department of Computer Science, University of Maryland, College Park, MD, USA., Lansdon LA; Children's Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA., Rodriguez I; Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA., Park J; UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA., Liu Y; Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.; Department of Computer Science, University of Maryland, College Park, MD, USA., Cui X; Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA., Gardner J; UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA., McNulty B; UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA., Sacco S; UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA., Shetty J; Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA., Zhao Y; Sequencing Facility Bioinformatics Group, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA., Tran B; Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA., Narzisi G; New York Genome Center, NY, USA., Helland A; New York Genome Center, NY, USA., Cook DE; Google Inc, Mountain View, CA, USA., Chang PC; Google Inc, Mountain View, CA, USA., Kolesnikov A; Google Inc, Mountain View, CA, USA., Carroll A; Google Inc, Mountain View, CA, USA., Molloy EK; Department of Computer Science, University of Maryland, College Park, MD, USA., Pushel I; Children's Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA., Guest E; Children's Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA., Pastinen T; Children's Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA., Shafin K; Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA., Miga KH; UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA., Malikic S; Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA., Day CP; Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA., Robine N; New York Genome Center, NY, USA., Sahinalp C; Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA., Dean M; Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA., Farooqi MS; Children's Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA., Paten B; UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA., Kolmogorov M; Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.

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Quartets enable statistically consistent estimation of cell lineage trees under an unbiased error and missingness model.

Autor: Han Y; Department of Computer Science, University of Maryland, College Park, MD, USA., Molloy EK; Department of Computer Science, University of Maryland, College Park, MD, USA. ekmolloy@umd.edu.; University of Maryland Institute for Advanced Computer Studies, College Park, MD, USA. ekmolloy@umd.edu.

Publikováno v: Algorithms for molecular biology : AMB [Algorithms Mol Biol] 2023 Dec 01; Vol. 18 (1), pp. 19. Date of Electronic Publication: 2023 Dec 01.