mantis
Biopython
mantis | Biopython | |
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6 | 31 | |
51 | 4,171 | |
- | 1.1% | |
3.1 | 9.6 | |
4 months ago | 1 day ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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mantis
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database for protein biological function association
You could use https://github.com/PedroMTQ/mantis
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How to get consensus annotations for a de novo orthogroup/ortholog analysis?
https://github.com/PedroMTQ/mantis Mantis works on protein level but it does address the consensus matter you mentioned
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Is there any other tool for COG annotation of the bacterial genome than EggNOG mapper?
Hello, I'm the developer of Mantis (https://github.com/PedroMTQ/mantis). Mantis doesn't use a database for COGs specifically but it does output some of the IDs you mentioned (e.g., KOs, COGs). If this is important for your work I could consider creating a COG centric database (or at least format it to be natively compatible with Mantis). Anyhow, please check the GitHub page and message me or post an issue and I'll try to help out.
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Functional annotation of prokaryotic genomes
Thanks a lot! Will definitely try it out. Another question: Does Mantis+eggNOG annotate the genes with eggNOG-ortholog-ids? More generally, what are the resulting annotation types? (pfam, GO, KO, EC and description are listed, how about KR, BiGG, brite and cazy?)
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How can I map KEGG gene categories onto aligned genomes?
You could accomplish this by gene calling with prodigal and then annotating with a tools like Mantis https://github.com/PedroMTQ/mantis
Biopython
- Invitación a proyecto - Biopython en Español
- Biopython – Python Tools for Computational Molecular Biology
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comparing the similarity between a set of protein sequences
Usearch will do all-against-all comparisons, cluster sequences, and produce alignments for each cluster. You can set the clustering threshold (proportion of residues identical). The alignments are in fasta format, which is pretty standard. If all you want is basic similarity it might be easiest to just write something that calculates normalized Hamming distances (typically called p-distances in the molecular evolution literature) between pairs of sequences. I suspect the biopython fasta reader (you can install biopython from https://biopython.org/) will be good enough.
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u/Responsible-Gas3852 comments on "Why is Cancer so Hard to Cure?"
Yes, the computing tool for biological computation.
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My boss is considering letting me take a programming course if I have some good reasons why.
Beside that their core lectures to non-computer scientists are public (survey), workshops by software carpentry move around the globe. Maybe your intent to seed hands-on knowledge is in similar tune before heading for biopython, bioperl, bioawk. It doesn't hurt to tap into resources initially written for non-labrats either, e.g. about regular expressions by programming historian.
- Can you run ScanProsite locally?
- How to iterate over the whole GRCh38 genome with python?
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Help they’re turning me into a programmer
Well, what language do you want to learn? What is your background so far? Assuming it is more on the side of biology, software carpentry's Python may eventually lead to biopython? Though there equally is a chance for AWK (Hack the planet's text! and bioawk...
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Biology related exercices and "challenges" to train by myself
I think you mind find something of a community around BioPython, which might be helpful. Just looking at the capabilities will probably be instructive as well.
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Joining the Open Source Development Course
Python is the main programming language I use nowadays. In particular numpy and pandas are of course extremely useful. I also use biopython package - a collection of software tools for biological computation written in Python by an international group of researchers and developers.
What are some alternatives?
prokka - :zap: :aquarius: Rapid prokaryotic genome annotation
RDKit - The official sources for the RDKit library
Hail - Cloud-native genomic dataframes and batch computing
biotite - A comprehensive library for computational molecular biology
bioconda-recipes - Conda recipes for the bioconda channel.
Numba - NumPy aware dynamic Python compiler using LLVM
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
PyDy - Multibody dynamics tool kit.
weblogo - WebLogo 3: Sequence Logos redrawn
statsmodels - Statsmodels: statistical modeling and econometrics in Python
bccb - Incubator for useful bioinformatics code, primarily in Python and R
bcbio-nextgen - Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis