Pluto Bio Reviews & Product Details

Pluto makes it easy for me to organize my data and run bioinformatics analyses, without having to code. Pluto also lets me create good representative figures on my own. It like that all my data can be saved at the same place and gives me the flexibility to create more plots and interpretations as I analyze. I also like that they have a responsive chat feature that respond to my queries quickly Review collected by and hosted on G2.com.

It would help to run more types of statistical analyses on Pluto. Review collected by and hosted on G2.com.

Our team having little knowledge on how to analyze transcriptome data using complex programming languages (R, Python). Pluto makes it easy for any of us to look at our own data and make barplots, volcano plots, etc. I frequently come back and create new figures/comparitive analysis on my data sets later on when I need a new plot. Review collected by and hosted on G2.com.

I would like to see even more analysis types to choose from in Pluto. Review collected by and hosted on G2.com.

Pluto is useful for data sharing and visualisation, particularly for the 'simple' biological assays I do. I can integrate multiple assays in one easy place, and add both images and text. It's cloud-based, so I can work on my data from anywhere, even my phone (which I have done before!). Review collected by and hosted on G2.com.

The barrier to usability is quite high, I haven't been able to onboard as many colleagues as I would have liked.

The graphs aren't publication ready: When values are below 1, no decimals are displayed. Legends are not editable for clarity and can't include units.

In the Sample Data formatting, Pluto can't pull numerical values if text is included. This makes adding 'targets' like concentrations (5uM for example) impossible.

No Bliss modelling or fitting curves for IC50s. Review collected by and hosted on G2.com.

I am an experienced bioinformatics researcher that has personally tried numerous analysis and visualization platforms across several -omics types. A huge advantage of this platform is that it is fully end to end. I haven’t encountered another platform that can process large sequencing files, perform quality control, and generate interpretable and publication-quality analysis.

I have shared data through this platform (which is quite easy) to investigators with limited bioinformatics experience. Despite that shortcoming, the platform is so intuitive that they are easily capable of understanding the analysis to that point and are quickly capable of generating new analyses. Review collected by and hosted on G2.com.

Researchers always want more features and analysis so I would just like to see continued growth. I’ve used this platform for over a year and I have been impressed with the continued growth and development. New experiments and analyses are frequently added, keeping this platform up to date with what is needed for bioinformatics analysis but continued development will be needed.

Extensive quality control is performed. However, because so much information is generated, it can be difficult to quickly know if there are issues with the data. QC notifications could be one area for improvement. Review collected by and hosted on G2.com.

The most helpful part of Pluto is the methods section that comes with each figure. It was so easy to write the manuscript when every figure has exactly what was done to make it. Review collected by and hosted on G2.com.

There really was not anything I disliked, the only thing I would like to see is more options to display data. Review collected by and hosted on G2.com.

Pluto makes running the more mundane processing parts of NGS analysis easy with very little hands on time from the user. As someone who is a bioinformatician, I do not enjoy running the basic parts of informatics analyses (such as QC and generation of counts matrices), and Pluto allows me to spend a couple minutes uploading the data so I can focus on the more intricate parts of downstream analysis analyses and on software development. They provide very thorough and comprehensive QC metrics, so that if I need to modify or rerun the pipeline, I can easily do that by making a copy of the experiment, changing a couple of parameters, and re-running based on the QC issues I see. I can seriously do this in under 5 minutes of my time. I also think the ability to import GEO studies from fastq through analysis is very powerful and saves me a lot of time trying to download fastqs and dealing with internet bandwidth issues from SRA and re-analyze them to be concordant with the pipelines and parameters I want to use; the platform makes running reproducible analysis much more steamlined. Review collected by and hosted on G2.com.

I would like to see either more tutorials/docs/video, of how to interpret different portions of the multiqc report and example of when I should be concerned about the QC. Additionally, more experiment types would be great -- some type of streamlined variant calling pipeline (particularly for cancer studies) or scRNA-seq analsis would be nice. Review collected by and hosted on G2.com.

It's a wet-lab scientist-friendly platform that reduces steps toward the actual analysis!

And staff from pluto are available and pretty responsive for troubleshoot whenever needed Review collected by and hosted on G2.com.

More webinars would be appreciated considering the diverse aspects you can explore on the platform. And if it can reflect single cell technology which becomes one of the standard, it would be awesome Review collected by and hosted on G2.com.

Pluto allows collaboration across teams. It is very helpful to have all data pertaining to a certain sample visualised in one place. It is a great addition to ELN software where the focus is on protocols and record-keeping rather than visualisation and collaboration. Review collected by and hosted on G2.com.

When adding new data to Pluto for technical repeats of experiments, a completely new file needs to be uploaded and graphs need to be remade which takes a bit of extra time.

Additionally, decimals are not displayed in graphs on the y-axis. Review collected by and hosted on G2.com.

One stop shop for all my RNA sequencing needs without the need to be a bioinformatician. Review collected by and hosted on G2.com.

Nothing really. Perhaps early on some things had bugs, but their team has been awesome in fixing it so its not a problem anymore... Review collected by and hosted on G2.com.

I love how easy it is to create a graph from bulk RNAseq data. Review collected by and hosted on G2.com.

I wish there was a delete button for projects made by mistake in the UI. Review collected by and hosted on G2.com.