ShortReadManager 4+

膨大なNGSデータを、自分で処理しましょう‪!‬

Yoshiyuki Ohtsubo

    • Free

Screenshots

Description

Are you struggling with short reads? You can remove errors based on the frequency of k-mer occurrences.

When you obtain data from a next-generation sequencer, you'll have a lot of reads. However, these reads contain errors at a certain rate, so caution is needed. For example, when reading a genome sequence at 100x coverage, a 31-mer that appears only once is likely considered an artifact due to some random reason, such as a sequencer reading error. Additionally, junctions between the genome sequence and adapter sequences can also occur randomly and will have low frequencies. Trimming low-frequency regions from the reads can simplify subsequent processing.

What’s New

Version 1.08

Minor update

App Privacy

The developer, Yoshiyuki Ohtsubo, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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