> ## Documentation Index
> Fetch the complete documentation index at: https://wiki.latch.bio/llms.txt
> Use this file to discover all available pages before exploring further.
# What are Latch Workflows?
> Latch's Workflow Manager comes with out-of-the-box community workflows and a Python SDK that allows uploading of custom workflows.
Define serverless bioinformatics workflows using plain Python & deploy associated no-code interfaces with single command.
Access our suite of pre-built, optimized workflows designed to address common bioinformatics challenges.
## Bring your own workflow
Latch providers a robust development toolkit that allows developers to upload an existing pipeline written in Snakemake, Nextflow, or Python.
Key benefits of the Latch SDK:
* **Instant no-code interfaces** for **accessibility and publication**.
* **Containerization and versioning** of **every registered change**.
* **Reliable and scalable** managed cloud infrastructure.
* **Automatically run workflows** on top of folders in Latch Data.
### Get Started with the Latch SDK
The fastest way to get started-ideal for those with ad-hoc scripts to create a workflow.
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Create GUIs from Nextflow projects with minimal added boilerplate & code.
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Integrate your existing Snakemake pipelines with Latch, and easily create a GUI.
## Out-of-the-box Verified Workflows
Latch offers ready-to-use Verified Workflows for a variety of common assays, including bulk RNA-seq, scRNA-seq, AlphaFold, ColabFold, and more.
These Verified Workflows are developed using the Latch Python SDK by Latch engineers and have been used by top 10 pharmaceutical companies and hundreds of biotech firms to enhance their research and discovery efforts.
Examples of Latch Verified Workflows:
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Perform alignment and quantification on Bulk RNA-Sequencing reads.
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Estimate variance-mean dependence in count data from high-throughput sequencing assays.
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Use differential expression contrast data to calculate the gene ontology and pathways for the most significant genes.
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Generate highly accurate protein structures predictions.
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The ColabFold version of AlphaFold2 is optimized for extremely fast predictions on small proteins.
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Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments.