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Update output.md add link
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danilodileo authored Oct 25, 2023
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Expand Up @@ -25,7 +25,7 @@ The pipeline is built using [Nextflow](https://www.nextflow.io/) and processes d
- [Prokka](#prokka) - Output from Prokka (optional)
- [TransDecoder](#transdecoder) - Output from transdecoder (optional)
- [Functional and taxonomical annotation](#functional-and-taxonomical-annotation) - Predict the function and the taxonomy of the amino acids fasta file
- [HMMER](#hmmer) - Analysis made with Hmmr profiles
- [Hmmrsearch](#Hmmrsearch) - Analysis made with Hmmr profiles
- [EggNOG](#eggnog) - Run EggNOG-mapper on amino acids fasta file
- [KOfamSCAN](#kofamscan) - Run KOfamSCAN on amino acids fasta file
- [EUKulele](#eukulele) - Run taxonomical annotation on amino acids fasta file
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#### RNASpades

Optionally, you can use RNASpades to assemble your reference genome.
Optionally, you can use [RNASpades](https://cab.spbu.ru/software/rnaspades/) to assemble your reference genome.
NB: we reccomend to use this assembler for eukaryotes rathern then prokaryotes.

<details markdown="1">
Expand All @@ -148,7 +148,7 @@ NB: we reccomend to use this assembler for eukaryotes rathern then prokaryotes.

#### Prodigal

As default, you can use Prodigal to find ORFs on your reference genome.
As default, you can use [Prodigal](https://github.com/hyattpd/Prodigal) to find ORFs on your reference genome.

<details markdown="1">
<summary>Output files</summary>
Expand All @@ -162,7 +162,7 @@ As default, you can use Prodigal to find ORFs on your reference genome.

#### Prokka

As one alternative, you can use Prokka to find ORFs on your reference genome.
As one alternative, you can use [Prokka](https://github.com/tseemann/prokka) to find ORFs on your reference genome.
NB: Prodigal and Prokka are reccomended for prokaryotic samples

<details markdown="1">
Expand All @@ -177,7 +177,7 @@ NB: Prodigal and Prokka are reccomended for prokaryotic samples

#### TransDecoder

Another alternative is TransDecoder to find ORFs on your reference genome.
Another alternative is [TransDecoder](https://github.com/sghignone/TransDecoder) to find ORFs on your reference genome.
TransDecoder is reccomended for Eukaryotic samples

<details markdown="1">
Expand All @@ -192,9 +192,9 @@ TransDecoder is reccomended for Eukaryotic samples

### Functional and taxonomical annotation

#### Hmmer
#### Hmmrsearch

You can run HMMer scan on the reference amino acids fasta file by giving hmm profiles to the pipeline.
You can run [Hmmsearch](https://www.ebi.ac.uk/Tools/hmmer/search/hmmsearch) scan on the reference amino acids fasta file by giving hmm profiles to the pipeline.

<details markdown="1">
<summary>Output files</summary>
Expand All @@ -216,7 +216,7 @@ Automatically, the pipline will run Hmmrank in order to find the best rank for e

#### EggNOG

EggNOG-mapper will perform an analysis to assign a function to the ORFs
[EggNOG-mapper](https://github.com/eggnogdb/eggnog-mapper) will perform an analysis to assign a function to the ORFs

<details markdown="1">
<summary>Output files</summary>
Expand All @@ -230,7 +230,7 @@ EggNOG-mapper will perform an analysis to assign a function to the ORFs

#### KOfamScan

KOfamScan will perform an analysis to assign a function to the ORFs
[KOfamScan](https://github.com/takaram/kofam_scan) will perform an analysis to assign a function to the ORFs

<details markdown="1">
<summary>Output files</summary>
Expand All @@ -242,7 +242,7 @@ KOfamScan will perform an analysis to assign a function to the ORFs

#### EUKulele

EUKulele will perform an analysis to assign a taxonomy to the ORFs
[EUKulele](https://github.com/AlexanderLabWHOI/EUKulele) will perform an analysis to assign a taxonomy to the ORFs
<details markdown="1">
<summary>Output files</summary>

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