Tweet
Can you explain me in deapth what is cycle? What is the difference beetween 100 o 200 cycle?
-
-
Hello Davideapplevv I'll try to explain this in a simplified version.
A cycle is when a base is added during the sequencing process. Each base is fluorescently labeled so you can determine the sequence of the DNA you are interested in. So a 100-cycle run would produce DNA sequences (reads) that are 100 bases long. A 200-cycle run would produce DNA sequences that are 200 bases long or they could produce two separate reads that are each 100 bases long, which is referred to as a pair-ended run.
If that doesn't make sense then think of it like this. Imagine you have a 10-cycle sequencing kit. If you ran your samples on the sequencer, your data (reads) would look something like this - AGGCATTTAC - meaning only 10 bases because the kit was for 10 cycles.
Watch this video. And to understand the cycles, start at 2:14 where it begins to explain the part about sequencing. It will show you what each cycle looks like. -
Thank you very much Ben3. Sorry for my elementar question. So with a kit 200Cycle we cannon’t read 2x150 bp paired end but is ok for 200 single read? Another easy question, how do you determine how many sample you can run in one flow cell?Comment
-
No worries Davideapplevv. You're correct, with a 200-cycle kit you couldn't do a 1x150bp run. You could do a 200 single read or a 2x100 pair-ended run. But what instrument are you planning on running this on? Also, Illumina kits have a few more cycles than they advertise. Meaning a 100-cycle kit might actually have 130 cycles, but you use those for index reads and maybe extending your other reads by a few bases. Check this bulletin for exact details.
https://support.illumina.com/bulleti...in-my-kit.html
And the number of samples depends on several factors. Theoretically you could add hundreds of samples into a single run, but they would get less reads. The number of samples you run would depend on the number of reads you want, the depth and coverage of your region of interest, and a several more considerations. Illumina has a calculator somewhere on their site to help you determine the amount of data you need.
Other things to think about are the complexity of your samples (library diversity), the output of your machine, and the results of previous runs. You don't want to overload the sequencer and you don't want the run to fail because you loaded one sample that didn't have diversity.
Hopefully that helps.Comment
-
The introduction of single-cell sequencing has advanced the ability to study cell-to-cell heterogeneity. Its use has improved our understanding of somatic mutations1, cell lineages2, cellular diversity and regulation3, and development in multicellular organisms4. Single-cell sequencing encompasses hundreds of techniques with different approaches to studying the genomes, transcriptomes, epigenomes, and other omics of individual cells. The analysis of single-cell sequencing data i
...01-24-2023, 01:19 PM -
Single-cell sequencing is a technique used to investigate the genome, transcriptome, epigenome, and other omics of individual cells using high-throughput sequencing. This technology has provided many scientific breakthroughs and continues to be applied across many fields, including microbiology, oncology, immunology, neurobiology, precision medicine, and stem cell research.
The advancement of single-cell sequencing began in 2009 when Tang et al. investigated the single-cell transcriptomes...01-09-2023, 03:10 PM
Comment