Hi Kang,
AltAnalyze provides the ability to generate gene expression and limited splicing results from FASTQ files using the software Kallisto (TPM measurements and known exon-exon junctions), as well as unbiased splicing results using BAM files.
For the database issue, for human this should install fine, but we don’t have a PC environment for immediate testing. Supporting this through the GUI will require some focused time.
For the Kallisto analyses, you need to save a file such as groups.cancer.txt and comps.cancer.txt in a folder named ExpressionInput in the designated output folder. The first column of the groups file should have the common name of the paired-end FASTQ files. For example, tumor1_read1.fastq.gz will be tumor1. For BAM files (tumor1.bam), it will be tumor.bed. If you run and it errors out due to the names in the groups file (the GUI helps automatically name these files, only an issue on the command-line), it creates an arrays.txt file with the expected names for the groups file. Hope this helps.
Hi Prof. Nathan,
Could you please tell me how to prepare the cognate groups and comps, as well as the codes? Or share me some other additional materials.
Thanks a lot.
Kang Wu
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Hi Nathan,
I tried both the command-line scripts/codes and windows scripts/codes you recommended.
It seems windows one works.
However the command-line one displayed "EnsMart100 --additional is not a valid version of Ensembl, while EnsMart72 is."
I am afraid my windows computer could not accomplish the task due to RAM limit (i.e. 16 G), so I went with linux server in parallel.
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