help design experiments using MiSeq
How many treatments can I have in a line RNA sequencing using MiSeq?
-
-
Depends on level of coverage you want. For reference, a MiSeq run will generate 25 M+ paired end reads of up to 300 bp each. You can use that yield to calculate theoretical coverage you will get. You can mix tens (or even hundreds) of properly barcodes samples. There is no limit there. -
This depends on three questions:
Which type of RNA are you going to sequence?
Are you going to prepare the samples?
How much coverage do you want for your experiment?
The first question relies on the prep kit you need, if it is going to seq smRNA or mRNA, there are specialized kits.
The second question is if you have in mind to prep your libraries, then you only have the size indexing. The truseq RNA has a dual index system, which you may index up to 96 samples at the same time.
But... if you are going to aquire an external service, this technical prep is not up to you.
The third question relies on the biological meaning of your experimental design. what are you going to do? variant calling? exon sequencing? differential expression? splicing? Do you have target genes in mind? de novo transcriptomic profiling? low-expression transcripts? regulational rna? siRNA? lncRNA?Comment
-
Thank you very much for answering. He had thought the experiment for six libraries . but not how to calculate coverage. Again thanks and greetings .Comment
-
The experiment aims to analyze the expression of genes in a plant pathogen interaction. if possible I would also get small RNAs . however it is not a priority. to obtain expression profiles of messenger is enough. thanks for your reply . Another question is , if I get libraries with 6 good coverage . finally I will request an external service.Comment
-
Te recomiendo el servicio de otogenetics, fue el que solicité en mi trabajo de expresion diferencial de leprosis en citricos. Ten en cienta wue si llegases a solicitar el servicio de small RNAs, estos son aparte de secuenciacion de mRNAs. Saludos!Comment
-
Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
The systematic characterization of the human proteome has...07-20-2026, 11:48 AM -
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.
...07-09-2026, 11:10 AM -
Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.
There is no single reason why many patients don’t respond to treatment as expected. Cancer is...07-08-2026, 05:17 AM
Comment