Partek Flow Documentation

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SubtitleTextQuantify to annotation model(Partek E/M) dialog
AnchorNameem

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If the bam file is imported, you need to select the assembly with which the reads were aligned to, and which annotation model file you will use to quantify from the drop-down menus (Figure 2).

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SubtitleTextSpecify the genome assembly with which the bam files are generated from and transcriptome annotation from the drop-down menu
AnchorNamespecify-annot

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In the Quantification options section, when the Strict paired-end compatibility check button is selected, paired end reads will be considered compatible with a transcript only if both ends are compatible with the transcript. If it is not selected, reads with only one end have alignment that is compatible with the transcript will also be counted for the transcript .

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SubtitleTextSummary of raw reads mapping to genes based on the RefSeq annotation file provided. Note that the Gene-level tab is selected.
AnchorNamereads-summary-em

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The second table contains feature distribution information on each sample and across all the samples, number of features in the annotation model is displayed on the table title (Figure 5).

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SubtitleTextSummary of feature distribution statistics
AnchorNamefeature-dist-em

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The bar chart displaying the distribution of raw read counts is helpful in assessing the expression level distribution within each sample. The X-axis is the read count range, Y axis is the number of features within the range, each bar is a sample. Hovering your mouse over the bar displays the following information (Figure 6):

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In the box-whisker plot, each box is a sample on X-axis, the box represents 25th and 75th percentile, the whiskers represent 10th and 90th percentile, Y-axis represents the read feature counts, when you hover over each box, detailed sample information is displayed (Figure 8).
 

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The output data node contains raw reads of each sample on each feature (gene or transcript or miRNA etc. depends on the annotation used). When click on a output data node, e.g. transcript counts data node, choose Download data on the  context context sensitive menu on the right, the raw reads of transcripts can be downloaded in two three different format (Figure 10):

Partek Genomics Suite project format: it is a zip file, do not manually unzip it, you can choose File>Import>Zipped project in Partek Genomics Suite to import the zip file into PGS.

Text file Features on columns and Features on rows format: it is a .txt file, you can open the text file in any text editor or Microsoft Excel, each row is a transcript, each column is a sample. For Features on columns format, samples will be on rows. For Features on rows format, samples will be at columns.


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SubtitleTextDownload quantification output data dialog: data can be downloaded in two types of format: Partek Genomics Suite project format or text file format
AnchorNameDownload data

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References

  1. Xing Y, Yu T, Wu YN, Roy M, Kim J, Lee C. An expectation-maximization algorithm for probabilistic reconstructions of full-length isoforms from splice graphs. Nucleic Acids Res. 2006; 34(10):3150-60.


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