Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • DanGene
    Junior Member
    • Jun 2013
    • 2

    Galaxy vs. pipeline-pilot

    Hi,
    We are considering two alternatives for managing and running our pipelines: Galaxy and pipeline-pilot. I know they are not exactly equivalent (e.g. PP is more flexible for pipelines design and Galaxy is stronger with portal interface). We mainly analyze NGS data of all kinds and maybe will expend in the future to other bioinformatics fields (e.g. Proteomics). The users will be bioinformaticians and computer oriented biologists.
    Did anyone have this dilema ?
    Thanks in advance
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    Originally posted by DanGene View Post
    Hi,
    We are considering two alternatives for managing and running our pipelines: Galaxy and pipeline-pilot. I know they are not exactly equivalent (e.g. PP is more flexible for pipelines design and Galaxy is stronger with portal interface). We mainly analyze NGS data of all kinds and maybe will expend in the future to other bioinformatics fields (e.g. Proteomics). The users will be bioinformaticians and computer oriented biologists.
    Did anyone have this dilema ?
    Thanks in advance
    I assume that you have access to necessary budgets since you are considering purchase of pipeline-pilot against galaxy.

    - What sort of informatics support (both in terms of systems administration and programming) do you have access to?
    - Will your systems administrators be willing to tinker with galaxy to make it work in your local IT environment (depending on type of cluster/job queuing system)?
    - Is having access to technical support a requirement?
    - Do you have projects that require long term support for specific versions of software/workflows?

    Comment

    • DanGene
      Junior Member
      • Jun 2013
      • 2

      #3
      GenoMax - Thanks a lot for your fast reply.
      I have the budget for PP. Regarding your questions:
      1. I have an IT manager with HPC cluster and storage. I also have software engineers and Bioinformaticians.
      2. My IT manager will help us as much as we need with Galaxy.
      3. I prefer get the technical support from a company, eventhough my guys can solve the problems with Galaxy.
      4. Many of my projects requires long term support (e.g. looking again at the data after a year or two)

      Bottom line - I have the technical guys that can support Galaxy (but can do other useful things with their time...). The reason I'm considering Galaxy is that I'm wondering if it can give me more functionality than pipeline pilot because of the large gained experience of the communitte or other reasons.
      Thanks

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
        by SEQadmin2



        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
      • SEQadmin2
        Cancer Drug Resistance: The Lingering Barrier to Rising Survival
        by SEQadmin2



        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
      • GATTACAT
        Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by GATTACAT
        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

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 07-09-2026, 10:04 AM
      0 responses
      24 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-08-2026, 10:08 AM
      0 responses
      15 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-07-2026, 11:05 AM
      0 responses
      33 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-02-2026, 11:08 AM
      0 responses
      31 views
      0 reactions
      Last Post SEQadmin2  
      Working...