Originally posted by Chuckytah
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Originally posted by eulbra View PostDo you need transcriptoe or only DGE? I think it is cheap if you out sourcing your project with basic analysis and then you can do your own analysis by your self. That will help you to improv yourself. You can ask for raw data for your own analyis.
It is a transcritpomic analysis but i need DGE too.
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Hello everyone! How are you all doing?
My name is Desiree Wilson. I am a first year graduate student at University of Texas Health Science Center San Antonio. I need to learn how to analyze NGS data and so I am learning R and Rsamtools. I am very grateful for the opportunity to learn so much from you all. I hope that I can be of service in return. ^_^ <3
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Hello, everyone
I am new to deep sequencing with a background in molecular biology. I have very little computer programming experience.
I am working on a couple of projects that will use NGS technology. The first one I am currently immersed in is a virus discovery project from insect samples. I am currently using Velvet for de novo assembly from 100bp paired end data on that project.
The second project is a re-sequencing of plant virus genome from samples stored in herbaria - specifically looking at viral evolution questions. Does anyone have suggestions on software or experimental design advice?
Nikki
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New to SeqAnswers, and I could use some help
Hello All:
I am a user in the Carribean area (San Juan, PR). I am currently preparing to transition a project from lots of microarray data to ChIP-Seq, and planning to use Illumina MiSeq for that. I have a lot of microarray data that supports a model of gene function, and ChIP-seq should help to sort out some of those features.
This brings up an issue that has been troubling for some time. It may be more relevant to a microarray users group (and so kindly please redirect me, if necessary). The crux of the problem is annotation; I work on zebrafish, and the microarrays were designed with the ZV7 (current June 2007) version of the genome. There is a group of perhaps 20-40% of the genome that is either poorly annotated, or not at all annotated. The issue is that over the years, many of the genes have been identified, but I'm 'stuck' with the version of the annotations that were current at the time of the release.
My desire is to find and employ any tools that might help to make the annotations somewhat more complete. Does anyone out there have any suggestions?
Much appreciated,
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Hello all,
I'm exploring NGS options for analysing structural alterations. In general, I'm interested in how to go from DNA sample to data I can understand.
This looks like a good place to start reading, though it's way more complicated a site than any I've used before.
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Hi everybody
Federico here, PhD student in Mainz (Germany) at the Institute of Molecular Biology.
Quickly, my focus in bioinformatics: ChIP-seq and RNA-seq analysis, currently collaborating in setting up a pipeline for the lab.
Curiously eager to learn in this field, I am sure I will enjoy this community!
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Hi all
I'm a PhD student working in Oslo, Norway. Just signed up here yesterday and all ready I've had lots of help from this forum. At the moment I'm working on Illumina RNAseq data. Looking forward to exchange ideas, tips and tricks with you all!
Cheers,
Monica
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Hi
Hi, everyone. My name is Jasmine. I am major in biostatistics and I am new in this new area.
I have a lot of questions ahout the NGS data analysis, especially genotype calling and variation calling. But I don't have any idea at where I start analysing my data. could someone help me with introductionary documents?
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Hi
Hi all,
My name is Kris and I work at a genomics lab in India. New to this community and NGS. Doing my first big expt after the 5500XL training. Here to share my experiences and to find answers to the problems we will encounter.
Cheers,
Kris
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by seqadmin
Next-generation sequencing (NGS) and quantitative polymerase chain reaction (qPCR) are essential techniques for investigating the genome, transcriptome, and epigenome. In many cases, choosing the appropriate technique is straightforward, but in others, it can be more challenging to determine the most effective option. A simple distinction is that smaller, more focused projects are typically better suited for qPCR, while larger, more complex datasets benefit from NGS. However,...-
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Non-coding RNAs (ncRNAs) do not code for proteins but play important roles in numerous cellular processes including gene silencing, developmental pathways, and more. There are numerous types including microRNA (miRNA), long ncRNA (lncRNA), circular RNA (circRNA), and more. In this article, we discuss innovative ncRNA research and explore recent technological advancements that improve the study of ncRNAs.
Nobel Prize for MicroRNA Discovery
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