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We, a handfull of bioinformaticians, established a company several months ago. We only received 3 projects as of now. Can anyone share any experience on advertising this service?
Thanks,
DecodeNomics
Thanks,
DecodeNomics
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referrals
Referrals and word of mouth I think is the best return on investment. The key is to do a good job in a timely manner. Try to build a relationship with your clients since science is more than question -> answer it is more equivalent to question->question question question -
Also, I would post here as a service provider about what you do and how to contact you.
We are always looking for bioinformatics support to send our customers to.Comment
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I would offer some number of free projects in exchange for people posting about their experience with your services. There's probably no better marketing.Comment
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Thank you. And I agree. Our 3rd project was by referral from a connection. But as we just started, we are thinking of making our services known by more people.
Originally posted by severin View PostComment
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Thank you.
We aimed to help biologists and doctors in manuscript publication by providing data analysis on high-throughput data like RNA-Seq, ChIP-Seq, Bisulfite-Seq(RRBS,WGBS), MNase-Seq and etc.
Interested people may check our website for more information at www.decodenomics.com
Originally posted by kwaraska View PostComment
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Thank you. That sounds like a good idea to attract some attention.
Originally posted by ECO View PostComment
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A tip - please spell check your web site. E g "Conact" -> "Contact", "Transcritome" -> "transcriptome", "aurthor" -> "author" etc.
:-)Comment
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Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.07-01-2026, 11:43 AM
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I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.
Here are nine questions we think about, in roughly the order they matter, before...
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