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Is there a tool or script that can help identify false positives from a BAM file? Thanks.
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False-positive what? Alignments? Filter by MAPQ. -
We use Ion Torrent PGM sequencing and use the aligned hg19 BAM in NextGene. I know that TVC is better at removing false positive variants, presumably because it has access to the SFF file and which contain signal values in flow space and a mapping between sequence. Is there a preferred or optimal way to asses MAPQ in the BMA alignment? Thanks.Last edited by cmccabe; 08-25-2014, 06:07 AM.Comment
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As NextGene is a commercial package, you should ask the company that makes it for suggestions. You'll generally find that the community won't provide any support/feedback for such packages.Comment
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I have contacted them and explained the issue. I am sure that future versions of the software will get better, but in the meantime I want to ensure that we are providing the best information possible. I am looking for some ideas from community members in developing a perl script to help address this. Some of the false positive calls have great PhreD scores (> 20), with good balance, so I am stumped. Thanks.Comment
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Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
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Love 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.07-01-2026, 11:43 AM
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