I recently obtained strange results from a ChIP-seq experiment. Rather than having relatively thorough coverage of the genome, my reads were separated by large gaps and many were identical to each other and stacked right on top of each other. (I should note that I did also see enrichment at predicted areas.) We have not observed this pattern before. Then only thing that we see abnormal in the Illumina sequencer output info is that there was a large bias for G as the first nucleotide in the sequences. Could be related to the large stacks of identical reads? Any thoughts on why this may be occuring? Do you think it could be an inefficient ligation or amplification issue? TIA!
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Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...-
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The field of conservation genomics centers on applying genomics technologies in support of conservation efforts and the preservation of biodiversity. This article features interviews with two researchers who showcase their innovative work and highlight the current state and future of conservation genomics.
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Matthew DeSaix, a recent doctoral graduate from Kristen Ruegg’s lab at The University of Colorado, shared that most of his research...-
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