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MAFFT MSA Generation

Rapidly generate multiple sequence alignments for protein sequences.

Overview

MAFFT and phmmmer are powerful tools for aligning multiple biological sequences, each optimized for specific tasks. MAFFT excels in aligning large-scale datasets quickly and accurately with parallel processing options, making it suitable for extensive alignments. phmmer complements this by identifying sequence homologs using profile HMMs, enabling accurate detection of related sequences within large databases.

Run MAFFT MSA Generation on Neurosnap

The MAFFT MSA Generation online webserver allows anybody with a Neurosnap account to run and access MAFFT MSA Generation, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.

MAFFT MSA Generation service preview

Features

  • Optimized for fast, accurate alignment of extensive biological sequence datasets.
  • Offers parallel processing to improve alignment speed and efficiency.
  • Maintains alignment quality across diverse biological sequences and applications.
  • Designed to detect remote homologs with high sensitivity, leveraging powerful probability models.
  • Achieves speed comparable to BLAST with HMMER3, overcoming previous computational challenges.

Statistics

Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.

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API Request

Access MAFFT MSA Generation using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.

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Citations

Please cite the original work when using MAFFT MSA Generation in publications or research outputs.

Katoh, K., & Standley, D. M. (2013). MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Molecular biology and evolution, 30(4), 772-780.

Eddy, S. R. (2011). Accelerated profile HMM searches. PLoS computational biology, 7(10), e1002195.

Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/

Set up your run

Configure MAFFT MSA Generation

Choose your inputs and settings, then review the estimated credits before submitting.

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Inputs & configuration

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Review your configuration, then confirm the estimated credit cost before you run the job.

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