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    Dynamic Programming
    In bioinformatics, dynamic programming is mainly used to align nucleotide and amino acid sequences, and to predict RNA and protein folding from primary sequence data.

    Keywords: RNAamino acid sequenceSequence alignmentdynamic programmingprotein folding

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    Chapter 1: Introduction to R and RStudio
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    Keywords: biostatisticsR programming language

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    Data Science Replication of Covid-19 Wastewater Tracking
    Students are asked to use data science skills (such as pivot tables and linear regression) to replicate Covid-19 wastewater monitoring data provided by the CDC NWSS (National Wastewater...

    Keywords: public healthdata science skills trainingEnvironmental Data ScienceEpidemiology Infectious Diseases

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    Chapter 2: Data sampling, accuracy, and precision
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    Keywords: biostatisticsR programming language

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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull

    Keywords: datacalling bullmisinformationBates CollegeSchedule

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    Module M.7 Generalized linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality

    Keywords: biostatisticsR programming languageSwirl

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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network

    Keywords: geneticsstatisticsdata analysisgraphingRStudioVideoexperimental designR programming languagemicrobiomesstudent researchinterdisciplinary educationlimnologyeco-informaticsresearch in the classroomtidyverseWorking with datasetsREMNet

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    REMNet Tutorial, R Part 3: Creating Alpha Diversity Plots in R 5.2.19
    Video on creating alpha diversity plots in R from the Research Experiences in Microbiomes Network

    Keywords: VideoMicrobiology EducationR programming languagemicrobiomesCoastal wetlandsmanagementnortheastsea-level risesalt marshresearch in the classroomREMNeturban microbiomes

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    Pennies to The Moon Data Byte Series
    This series of Rbyte activities explores the concept of debunking using Fermi Estimation, R, and ChatGPT.

    Keywords: RprogrammingOpen SourceOpen Sciencedata literacycalling bullProgramming practiceFermi EstimationChatGPTGoogle CoLab

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    A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
    This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.

    Keywords: data sciencebioinformaticsnext generation sequencingquality controlFASTQgenomicsprogrammingNIBLSElinuxmicrobiomeIllumina sequencingcommand lineFASTQEFASTPNGS analysisterminalMacemojiPhred scoreTrimmingshort read

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    Working with spreadsheet-style data in Python with pandas and seaborn
    This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of...

    Keywords: datapythonopenSpreadsheetbicylepandasseabornmatplotlib

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    Responses to Climate Change in California Chipmunks: Move, Adapt, or Die
    A series of three modules using data from natural history museum collections to examine responses to climate change in multiple chipmunk species. Elevation and morphological data, beginner skills...

    Keywords: statisticsmodelingmodulemorphologysummary statisticsmodulesclimate datamuseumsclimate changeundergraduate educationR programming languageprogrammingelevationnatural history museumsmammalssmall mammals community dynamicsmuseum collectionsVertebrate Morphologyopen educational resourceR programming environment

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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...

    Keywords: R programming languagecourse-based undergraduate research experienceBioinformatics and GenomicsCURECUREscourse-based research experiences (CUREs)STEM CUREsComparative genomicsBioconductor

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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...

    Keywords: statisticsR programming languagebioinformaticsNIBLSERNAseqgene expressionCourseSourcecomputer programming

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    Modeling Soil Fluxes with NEON Data
    This activity is an exploratory activity to understand rates of change of soil carbon dioxide in different ecosystems using data provided by the National Ecological Observatory Network (NEON,...

    Keywords: modelingdata analysisplant/soil/water interactions

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    Identifying Groundwater Discharge Dynamics into Stream Habitat Assessments
    Groundwater contributions are overlooked in many habitat assessments, even though their ecological and water quality importance to streams has been broadly recognized. This lab encourages students...

    Keywords: landscape ecologyriver systemsRiver Field Studies NetworkGroundwater - Surface Water Exchangegroundwater seepsstream temperature

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    Data-Driven Decision-Making: Antarctic Fisheries
    This is an entire module for a general education data science and ecology course. The module was originally designed as the fourth and final section of the course; the full course is openly...

    Keywords: population growthRStudiodata visualizationexponential growthlogistic growthR Markdownspatial dataocean sustainability4DEE FrameworkTraditional ecological knowledgecarrying capacityEcosystem Servicesmaximum sustainable yield

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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.1 R basics for data exploration and management
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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