miRNAkey error
Alignment summary:
Total reads: 736516
Mapped reads: 255576
Uniquely mapped reads: 249567 (97.6% of mapped reads)
Multiply mapped reads: 6009 (2.4% of mapped reads)
Error message:
.....
Use of uninitialized value in concatenation (.) or string at /downloads/miRNAkey/pipeline/make_multi_input.pl line 181, <$BWA_INPUT> line 738143.
Use of uninitialized value in concatenation (.) or string at /downloads/miRNAkey/pipeline/make_multi_input.pl line 200, <$BWA_INPUT> line 738143.
.....
Differential Expression Analysis summary:
A total of 2 different miRNAs were expressed in the two samples
its the same error at line 181 and 200 for all the samples ; and all samples show only two differentially expressed miRNAs
(i tried with Bwa.0.5.7 and 0.5.9 ): both has same errors
please do suggest me what went wrong and how to over come this error?
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Hi Nico,
Thanks for your detail response. I tried to use samtools and bedtools to convert .sam files to .bed files but I used human genomes 19 as reference. But I believe it might be better to use miRBase instead. Do you have any other suggestions?
Best wishes,
Rakesh
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A microRNA is processed from a precursor miRNA (pre-miR). From a pre-miRNA, two miRNA are processed, the mature and the star.
So hsa-let-7a and hsa-let-7a* are processed from the same pre-miR (http://www.mirbase.org/cgi-bin/mirna...?acc=MI0000060).

To convert .sam to .bed --> http://seqanswers.com/forums/showthread.php?t=2446
For the foldchange, I don't use miRNAkey..
Nico
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miRNAkey
Hi All,
I am referring to your publication "miRNAkey: a software for microRNA deep sequencing analysis" in Bioinformatics.
I have few questions regarding the output of the miRNAkey. Specifically I am referring to an Excel file for Differential Expression Table. For most of miRNA, there are two rows (for examples hsa-let-7a and hsa-let-7a*), what is the difference between these two miRNA? Also, it generates fold-change value of +Infinity for positive two number (for example fold-change for RPKM1=0.801 and RPKM2=591.740 is +Infinity). Is it possible to convert mapped .sam file to .bed format to visualize the data in the UCSC genome browser?
I really appreciate your help on these issues.
Thanks,
RakeshTags: None
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by GATTACATLove this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
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