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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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Transcription is the process of synthesizing RNA from a DNA sequence by RNA polymerase. It is the first step in producing a protein from a gene sequence. Additionally, many other proteins and regulatory sequences are involved in the proper synthesis of messenger RNA (mRNA). Regulation of transcription is responsible for the differentiation of all the different types of cells and often for the proper cellular response to environmental signals.
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    This summary is machine-generated.

    Audio coding is a cost-effective alternative for qualitative research, offering potential savings despite being perceived as more difficult than transcript coding. Both methods yield similar code quality, enhancing data immersion.

    Keywords:
    audio datacomputer-assisted data analysiseconomic analysisqualitative data analysisthematic analysis

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    Area of Science:

    • Qualitative Research Methods
    • Computer-Assisted Qualitative Data Analysis Software (CAQDAS)
    • Mixed-Methods Research

    Background:

    • Manual transcription of audio data for qualitative analysis is time-intensive and costly.
    • Software-based audio coding presents a potentially more efficient and economical alternative.

    Purpose of the Study:

    • To compare the time efficiency, cost-effectiveness, and researcher experience of thematic analysis using audio recordings versus transcripts.
    • To evaluate the feasibility of direct audio coding in qualitative research.

    Main Methods:

    • A mixed-methods crossover study design.
    • Ten researchers (novice, competent, expert) coded 18 interview segments using NVivo software.
    • Comparison of coding times, costs, and researcher experiences between audio coding and transcript coding.

    Main Results:

    • Transcript coding was generally faster than audio coding.
    • Audio coding was found to be less than 60% the cost of transcript coding.
    • Coders perceived audio coding as more difficult, but reported similar code quality between methods.

    Conclusions:

    • Audio coding offers significant cost savings and a more naturalistic data source, making it a viable option for qualitative researchers.
    • Despite perceived difficulty, audio coding can enhance data immersion and efficiency.
    • Careful software selection, training, and familiarization with audio coding procedures are recommended prior to implementation.