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reCOGnizer Alternatives
Similar projects and alternatives to reCOGnizer
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Ory Keto
Open Source (Go) implementation of "Zanzibar: Google's Consistent, Global Authorization System". Ships gRPC, REST APIs, newSQL, and an easy and granular permission language. Supports ACL, RBAC, and other access models.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better reCOGnizer alternative or higher similarity.
reCOGnizer reviews and mentions
Posts with mentions or reviews of reCOGnizer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-01.
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Is there a way to achieve a similar COG annotation for Haloferax mediterranei?
reCOGnizer (https://github.com/iquasere/reCOGnizer) will do that for you. It also outputs the COG categories in a krona plot
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Why do some HMMs come with a separate score table instead of embedding in as cut_ga, cut_tc, or cut_nc?
What tool are you using for analyzing them? Using something like reCOGnizer (https://github.com/iquasere/reCOGnizer) gives you the bitscores and evalues in a TSV table, next to the matches
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Metadbgwas, my tool ! What could I do better ?
Finally, a huge help on developing is having a Continuous Integration/Deployment on the tool. CD refers to the conda suggestion above, as your tool would be readily available in a controlled environment. CI could use the GitHub Actions functionality provided by GitHub. You can see an example here
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Any programs/packages that will allow me to compare cluster annotations obtained from metagenomic data?
You may run MOSCA (https://github.com/iquasere/MOSCA), it performs all major steps of metagenomics analysis. It includes that functional classification you are looking for, since with UPIMAPI (https://github.com/iquasere/UPIMAPI) it annotates with UniProt DB as reference, and obtains information including taxonomy, EC numbers, and even those GOs, and reCOGnizer (https://github.com/iquasere/reCOGnizer), which annotates with CDD DB as reference, and obtains orthologous groups information (COG, Pfam, etc).
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Metatranscriptomics Workflow Questions?
Prediction of coding sequences takes as input the contigs you obtained, and gives you the translated genes. Besides annotating with the KEGG database, you may also want to annotate with more general purpose databases (e.g. UniProt), as these provide more taxonomies and functional information. MOSCA includes UPIMAPI (https://github.com/iquasere/UPIMAPI) and reCOGnizer (https://github.com/iquasere/reCOGnizer), which annotate genes with reference to UniProt and CDD databases using two different methods, providing complementary information. This is the same methodology used by widely popular tools such as eggNOG-mapper and Prokka, but these use other databases.
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Problems using Prokka
Install with mamba instead of conda, no more problems. Or use UPIMAPI (https://github.com/iquasere/UPIMAPI) together with reCOGnizer (https://github.com/iquasere/reCOGnizer), since these tools obtain better results when annotating proteins
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How would you name the program that does cog annotation?
I think reCOGnizer is a nice name
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Is there any other tool for COG annotation of the bacterial genome than EggNOG mapper?
reCOGnizer (https://github.com/iquasere/reCOGnizer) can annotate with COGs, and the other databases available at CDD. It obtains all information concerning COGs description and categories, and outputs krona plots and TSV tables in formats easy to analyze. There is also mantis (https://github.com/PedroMTQ/mantis), prokka (https://github.com/tseemann/prokka) and DFAST (https://github.com/nigyta/dfast_core), the latter two work on contigs and the first two are for proteins
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A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
Stats
Basic reCOGnizer repo stats
9
24
7.4
4 months ago
iquasere/reCOGnizer is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of reCOGnizer is HTML.
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