Hello all,
I'm a first year graduate student and just picked/joined my thesis lab. I have a bunch of illumina DNA sequencing data for both genome assembly and ChIP-Seq-like experiments. Im completely new to the computational aspects in these approaches - e.g. I have recently taught myself to move around in a Unix environment and my only achievement so far was to run fastQC on the sequence reads. Also, I have been working toward learning python.
What I would like to do next is align reads (ChIP-seq type experiment) to a human reference genome. Should I use MAQ? Bowtie? BWA?
How about peak callers? PeakSeq?
In the future I will also be dealing with RNA-seq data for both transcriptome assemblies and differential expression analyses. Any help here would also be welcome. e.g. how does one take RNA-seq data from two different tissues through the analysis pipeline and end up with those nice log-log plots?
Many many thanks,
Sciara C.
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The complexity of cancer is clearly demonstrated in the diverse ecosystem of the tumor microenvironment (TME). The TME is made up of numerous cell types and its development begins with the changes that happen during oncogenesis. “Genomic mutations, copy number changes, epigenetic alterations, and alternative gene expression occur to varying degrees within the affected tumor cells,” explained Andrea O’Hara, Ph.D., Strategic Technical Specialist at Azenta. “As...-
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