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---
title: "NCBI Database Retrieval"
date: "`r Sys.Date()`"
output: rmarkdown::html_vignette
vignette: >
%\VignetteIndexEntry{NCBI Database Retrieval}
%\VignetteEngine{knitr::rmarkdown}
%\usepackage[utf8]{inputenc}
---
```{r, echo = FALSE, message = FALSE}
options(width = 750)
knitr::opts_chunk$set(
comment = "#>",
error = FALSE,
tidy = FALSE)
```
# Retrieve Sequence Databases from NCBI
NCBI stores a variety of specialized database such as [Genbank, RefSeq, Taxonomy, SNP, etc.](https://www.ncbi.nlm.nih.gov/guide/data-software/) on their servers.
The `download.database()` and `download.database.all()` functions implemented in `biomartr` allows users to download these databases from NCBI.
This process might be very useful for downstream analyses such as sequence searches with e.g. BLAST. For this purpose see the R package [metablastr](https://github.com/HajkD/metablastr) which aims to seamlessly inegrate `biomartr` based genomic data retrieval with downsteam large-scale BLAST searches.
* [1. List available NCBI databases with `listNCBIDatabases()`](#ist-available-databases)
* [2. Download NCBI databases with `download.database.all()`](#download-ncbi-databases)
- [2.1 Example NCBI nr retrieval](#example-ncbi-nr)
- [2.2 Example NCBI nt retrieval](#example-ncbi-nt)
- [2.3 Example NCBI RefSeq retrieval](#example-ncbi-refseq)
- [2.4 Example Protein Database (PDB) retrieval](#example-pdb)
- [2.5 Example NCBI Taxonomy retrieval](#example-ncbi-taxonomy)
- [2.6 Example NCBI Swissprot retrieval](#example-ncbi-swissprot)
- [2.7 Example NCBI CDD Delta retrieval](#example-ncbi-cdd-delta)
## List available databases
Before downloading specific databases from NCBI users might want to list available databases. Using the `listNCBIDatabases()` function users can retrieve a list of available databases stored on NCBI.
```{r, eval=FALSE}
# retrieve a list of available sequence databases at NCBI
biomartr::listNCBIDatabases(db = "all")
```
```
[1] "16SMicrobial" "cdd_delta" "cloud"
[4] "env_nr" "env_nt" "est"
[7] "est_human" "est_mouse" "est_others"
[10] "FASTA" "gene_info" "gss"
[13] "gss_annot" "htgs" "human_genomic"
[16] "landmark" "nr" "nt"
[19] "other_genomic" "pataa" "patnt"
[22] "pdbaa" "pdbnt" "ref_prok_rep_genomes"
[25] "ref_viroids_rep_genomes" "ref_viruses_rep_genomes" "refseq_genomic"
[28] "refseq_protein" "refseq_rna" "refseqgene"
[31] "sts" "swissprot" "taxdb"
[34] "tsa_nr" "tsa_nt" "vector"
```
However, in case users already know which database they would like to retrieve
they can filter for the exact files by specifying the NCBI database name. In the following example all sequence files that are part of the `NCBI nr` database shall be retrieved.
First, the `listNCBIDatabases(db = "nr")` allows to list all files corresponding to the `nr` database.
```{r, eval=FALSE}
# show all NCBI nr files
biomartr::listNCBIDatabases(db = "nr")
```
```
[1] "nr.00.tar.gz" "nr.83.tar.gz" "nr.75.tar.gz" "nr.01.tar.gz"
[5] "nr.02.tar.gz" "nr.03.tar.gz" "nr.04.tar.gz" "nr.05.tar.gz"
[9] "nr.76.tar.gz" "nr.16.tar.gz" "nr.54.tar.gz" "nr.55.tar.gz"
[13] "nr.56.tar.gz" "nr.06.tar.gz" "nr.15.tar.gz" "nr.30.tar.gz"
[17] "nr.57.tar.gz" "nr.58.tar.gz" "nr.59.tar.gz" "nr.60.tar.gz"
[21] "nr.61.tar.gz" "nr.62.tar.gz" "nr.63.tar.gz" "nr.64.tar.gz"
[25] "nr.65.tar.gz" "nr.66.tar.gz" "nr.67.tar.gz" "nr.68.tar.gz"
[29] "nr.69.tar.gz" "nr.70.tar.gz" "nr.71.tar.gz" "nr.72.tar.gz"
[33] "nr.73.tar.gz" "nr.74.tar.gz" "nr.07.tar.gz" "nr.77.tar.gz"
[37] "nr.78.tar.gz" "nr.08.tar.gz" "nr.09.tar.gz" "nr.10.tar.gz"
[41] "nr.79.tar.gz" "nr.80.tar.gz" "nr.81.tar.gz" "nr.82.tar.gz"
[45] "nr.84.tar.gz" "nr.11.tar.gz" "nr.12.tar.gz" "nr.85.tar.gz"
[49] "nr.13.tar.gz" "nr.86.tar.gz" "nr.87.tar.gz" "nr.14.tar.gz"
[53] "nr.28.tar.gz" "nr.29.tar.gz" "nr.31.tar.gz" "nr.17.tar.gz"
[57] "nr.18.tar.gz" "nr.19.tar.gz" "nr.20.tar.gz" "nr.21.tar.gz"
[61] "nr.22.tar.gz" "nr.23.tar.gz" "nr.32.tar.gz" "nr.24.tar.gz"
[65] "nr.25.tar.gz" "nr.26.tar.gz" "nr.27.tar.gz" "nr.33.tar.gz"
[69] "nr.34.tar.gz" "nr.35.tar.gz" "nr.36.tar.gz" "nr.37.tar.gz"
[73] "nr.38.tar.gz" "nr.39.tar.gz" "nr.40.tar.gz" "nr.41.tar.gz"
[77] "nr.42.tar.gz" "nr.43.tar.gz" "nr.44.tar.gz" "nr.45.tar.gz"
[81] "nr.46.tar.gz" "nr.47.tar.gz" "nr.48.tar.gz" "nr.49.tar.gz"
[85] "nr.53.tar.gz" "nr.50.tar.gz" "nr.51.tar.gz" "nr.52.tar.gz"
```
The output illustrates that the `NCBI nr` database has been separated into 41 files.
Further examples are:
```{r, eval=FALSE}
# show all NCBI nt files
biomartr::listNCBIDatabases(db = "nt")
```
```
[1] "nt.00.tar.gz" "nt.01.tar.gz" "nt.02.tar.gz" "nt.03.tar.gz"
[5] "nt.04.tar.gz" "nt.05.tar.gz" "nt.06.tar.gz" "nt.07.tar.gz"
[9] "nt.08.tar.gz" "nt.09.tar.gz" "nt.10.tar.gz" "nt.40.tar.gz"
[13] "nt.11.tar.gz" "nt.41.tar.gz" "nt.42.tar.gz" "nt.43.tar.gz"
[17] "nt.44.tar.gz" "nt.45.tar.gz" "nt.46.tar.gz" "nt.47.tar.gz"
[21] "nt.48.tar.gz" "nt.49.tar.gz" "nt.50.tar.gz" "nt.12.tar.gz"
[25] "nt.51.tar.gz" "nt.52.tar.gz" "nt.13.tar.gz" "nt.14.tar.gz"
[29] "nt.53.tar.gz" "nt.54.tar.gz" "nt.55.tar.gz" "nt.56.tar.gz"
[33] "nt.57.tar.gz" "nt.15.tar.gz" "nt.16.tar.gz" "nt.58.tar.gz"
[37] "nt.26.tar.gz" "nt.27.tar.gz" "nt.17.tar.gz" "nt.18.tar.gz"
[41] "nt.28.tar.gz" "nt.29.tar.gz" "nt.19.tar.gz" "nt.20.tar.gz"
[45] "nt.21.tar.gz" "nt.22.tar.gz" "nt.23.tar.gz" "nt.24.tar.gz"
[49] "nt.25.tar.gz" "nt.30.tar.gz" "nt.31.tar.gz" "nt.32.tar.gz"
[53] "nt.33.tar.gz" "nt.34.tar.gz" "nt.35.tar.gz" "nt.36.tar.gz"
[57] "nt.37.tar.gz" "nt.39.tar.gz" "nt.38.tar.gz"
```
```{r, eval=FALSE}
# show all NCBI ESTs others
biomartr::listNCBIDatabases(db = "est_others")
```
```
[1] "est_others.00.tar.gz" "est_others.01.tar.gz"
[3] "est_others.02.tar.gz" "est_others.03.tar.gz"
[5] "est_others.04.tar.gz" "est_others.05.tar.gz"
[7] "est_others.06.tar.gz" "est_others.07.tar.gz"
[9] "est_others.08.tar.gz" "est_others.09.tar.gz"
[11] "est_others.10.tar.gz"
```
```{r, eval=FALSE}
# show all NCBI RefSeq (only genomes)
head(biomartr::listNCBIDatabases(db = "refseq_genomic"), 20)
```
```
[1] "refseq_genomic.218.tar.gz" "refseq_genomic.219.tar.gz"
[3] "refseq_genomic.220.tar.gz" "refseq_genomic.00.tar.gz"
[5] "refseq_genomic.01.tar.gz" "refseq_genomic.02.tar.gz"
[7] "refseq_genomic.03.tar.gz" "refseq_genomic.04.tar.gz"
[9] "refseq_genomic.05.tar.gz" "refseq_genomic.06.tar.gz"
[11] "refseq_genomic.07.tar.gz" "refseq_genomic.08.tar.gz"
[13] "refseq_genomic.09.tar.gz" "refseq_genomic.10.tar.gz"
[15] "refseq_genomic.11.tar.gz" "refseq_genomic.12.tar.gz"
[17] "refseq_genomic.13.tar.gz" "refseq_genomic.14.tar.gz"
[19] "refseq_genomic.15.tar.gz" "refseq_genomic.16.tar.gz"
```
```{r, eval=FALSE}
# show all NCBI RefSeq (only proteomes)
biomartr::listNCBIDatabases(db = "refseq_protein")
```
```
[1] "refseq_protein.25.tar.gz" "refseq_protein.00.tar.gz"
[3] "refseq_protein.01.tar.gz" "refseq_protein.02.tar.gz"
[5] "refseq_protein.03.tar.gz" "refseq_protein.26.tar.gz"
[7] "refseq_protein.27.tar.gz" "refseq_protein.28.tar.gz"
[9] "refseq_protein.29.tar.gz" "refseq_protein.04.tar.gz"
[11] "refseq_protein.05.tar.gz" "refseq_protein.06.tar.gz"
[13] "refseq_protein.07.tar.gz" "refseq_protein.08.tar.gz"
[15] "refseq_protein.09.tar.gz" "refseq_protein.14.tar.gz"
[17] "refseq_protein.15.tar.gz" "refseq_protein.16.tar.gz"
[19] "refseq_protein.41.tar.gz" "refseq_protein.10.tar.gz"
[21] "refseq_protein.11.tar.gz" "refseq_protein.17.tar.gz"
[23] "refseq_protein.12.tar.gz" "refseq_protein.13.tar.gz"
[25] "refseq_protein.18.tar.gz" "refseq_protein.19.tar.gz"
[27] "refseq_protein.20.tar.gz" "refseq_protein.21.tar.gz"
[29] "refseq_protein.22.tar.gz" "refseq_protein.23.tar.gz"
[31] "refseq_protein.24.tar.gz" "refseq_protein.30.tar.gz"
[33] "refseq_protein.31.tar.gz" "refseq_protein.32.tar.gz"
[35] "refseq_protein.33.tar.gz" "refseq_protein.34.tar.gz"
[37] "refseq_protein.35.tar.gz" "refseq_protein.36.tar.gz"
[39] "refseq_protein.37.tar.gz" "refseq_protein.38.tar.gz"
[41] "refseq_protein.39.tar.gz" "refseq_protein.40.tar.gz"
```
```{r, eval=FALSE}
# show all NCBI RefSeq (only RNA)
biomartr::listNCBIDatabases(db = "refseq_rna")
```
```
[1] "refseq_rna.00.tar.gz" "refseq_rna.01.tar.gz"
[3] "refseq_rna.10.tar.gz" "refseq_rna.02.tar.gz"
[5] "refseq_rna.05.tar.gz" "refseq_rna.03.tar.gz"
[7] "refseq_rna.06.tar.gz" "refseq_rna.04.tar.gz"
[9] "refseq_rna.07.tar.gz" "refseq_rna.08.tar.gz"
[11] "refseq_rna.09.tar.gz" "refseq_rna.11.tar.gz"
[13] "refseq_rna.12.tar.gz" "refseq_rna.13.tar.gz"
```
```{r, eval=FALSE}
# show NCBI swissprot
biomartr::listNCBIDatabases(db = "swissprot")
```
```
[1] "swissprot.tar.gz"
```
```{r, eval=FALSE}
# show NCBI PDB
biomartr::listNCBIDatabases(db = "pdb")
```
```
[1] "pdbnt.00.tar.gz" "pdbnt.40.tar.gz" "pdbnt.41.tar.gz"
[4] "pdbnt.42.tar.gz" "pdbnt.43.tar.gz" "pdbnt.44.tar.gz"
[7] "pdbnt.45.tar.gz" "pdbnt.46.tar.gz" "pdbnt.47.tar.gz"
[10] "pdbnt.48.tar.gz" "pdbnt.49.tar.gz" "pdbnt.50.tar.gz"
[13] "pdbnt.51.tar.gz" "pdbnt.52.tar.gz" "pdbnt.53.tar.gz"
[16] "pdbnt.54.tar.gz" "pdbnt.55.tar.gz" "pdbnt.56.tar.gz"
[19] "pdbnt.57.tar.gz" "pdbnt.58.tar.gz" "pdbnt.26.tar.gz"
[22] "pdbnt.27.tar.gz" "pdbnt.01.tar.gz" "pdbnt.02.tar.gz"
[25] "pdbnt.03.tar.gz" "pdbnt.04.tar.gz" "pdbnt.05.tar.gz"
[28] "pdbnt.06.tar.gz" "pdbnt.07.tar.gz" "pdbnt.08.tar.gz"
[31] "pdbnt.09.tar.gz" "pdbnt.10.tar.gz" "pdbnt.11.tar.gz"
[34] "pdbnt.12.tar.gz" "pdbnt.13.tar.gz" "pdbnt.14.tar.gz"
[37] "pdbnt.15.tar.gz" "pdbnt.16.tar.gz" "pdbnt.17.tar.gz"
[40] "pdbnt.18.tar.gz" "pdbnt.28.tar.gz" "pdbnt.19.tar.gz"
[43] "pdbnt.20.tar.gz" "pdbnt.21.tar.gz" "pdbnt.22.tar.gz"
[46] "pdbnt.23.tar.gz" "pdbnt.24.tar.gz" "pdbnt.29.tar.gz"
[49] "pdbnt.25.tar.gz" "pdbaa.tar.gz" "pdbnt.30.tar.gz"
[52] "pdbnt.31.tar.gz" "pdbnt.32.tar.gz" "pdbnt.33.tar.gz"
[55] "pdbnt.34.tar.gz" "pdbnt.35.tar.gz" "pdbnt.36.tar.gz"
[58] "pdbnt.37.tar.gz" "pdbnt.39.tar.gz" "pdbnt.38.tar.gz"
```
```{r, eval=FALSE}
# show NCBI Human database
biomartr::listNCBIDatabases(db = "human")
```
```
[1] "human_genomic.00.tar.gz" "human_genomic.01.tar.gz"
[3] "human_genomic.02.tar.gz" "human_genomic.03.tar.gz"
[5] "human_genomic.04.tar.gz" "human_genomic.05.tar.gz"
[7] "human_genomic.06.tar.gz" "human_genomic.07.tar.gz"
[9] "human_genomic.08.tar.gz" "human_genomic.10.tar.gz"
[11] "human_genomic.11.tar.gz" "human_genomic.12.tar.gz"
[13] "human_genomic.13.tar.gz" "human_genomic.14.tar.gz"
[15] "human_genomic.15.tar.gz" "human_genomic.16.tar.gz"
[17] "human_genomic.18.tar.gz" "human_genomic.19.tar.gz"
[19] "human_genomic.20.tar.gz" "human_genomic.21.tar.gz"
[21] "human_genomic.22.tar.gz"
```
```{r, eval=FALSE}
# show NCBI EST databases
biomartr::listNCBIDatabases(db = "est")
```
```
[1] "est.tar.gz" "est_human.00.tar.gz"
[3] "est_human.01.tar.gz" "est_mouse.tar.gz"
[5] "est_others.00.tar.gz" "est_others.01.tar.gz"
[7] "est_others.02.tar.gz" "est_others.03.tar.gz"
[9] "est_others.04.tar.gz" "est_others.05.tar.gz"
[11] "est_others.06.tar.gz" "est_others.07.tar.gz"
[13] "est_others.08.tar.gz" "est_others.09.tar.gz"
[15] "est_others.10.tar.gz"
```
__Please not that all lookup and retrieval function will only work properly when a sufficient internet connection is provided.__
In a next step users can use the `listNCBIDatabases()` and `download.database.all()` functions to retrieve
all files corresponding to a specific NCBI database.
## Download NCBI databases
Using the same search strategy by specifying the database name as described above, users can now download these databases using the `download.database.all()` function.
For downloading only single files users can type:
### Example NCBI nr
```{r, eval=FALSE}
# download the entire NCBI nr database
biomartr::download.database.all(db = "nr", path = "nr")
```
This command will download the pre-formatted (by makeblastdb formatted) database version is retrieved.
Using this command, all `NCBI nr` files are loaded into the `nr` folder (`path = "nr"`). For each data package, `biomartr` checks the `md5checksum` of the downloaded file and the file stored online to make sure that internet connection losses didn't currupt the file. In case you see a warning message notifying you about not-matching `md5checksum` values, please re-download the corresponding data package by re-running the `download.database.all()` command. From my own experience this can happen when server connections or internet connections are not very stable during the download process of large data chunks.
### Example NCBI nt
The same approach can be applied to all other databases mentioned above, e.g.:
```{r, eval=FALSE}
# download the entire NCBI nt database
biomartr::download.database.all(db = "nt", path = "nt")
```
### Example NCBI RefSeq
```{r, eval=FALSE}
# download the entire NCBI refseq (protein) database
biomartr::download.database.all(db = "refseq_protein", path = "refseq_protein")
```
### Example PDB
```{r, eval=FALSE}
# download the entire NCBI PDB database
biomartr::download.database.all(db = "pdb", path = "pdb")
```
### Example NCBI Taxonomy
Download NCBI Taxonomy via:
```{r, eval=FALSE}
# download the entire NCBI taxonomy database
biomartr::download.database.all(db = "taxdb", path = "taxdb")
```
```
Starting download of the files: taxdb.tar.gz, taxdb.btd, taxdb.bti ...
This download process may take a while due to the large size of the individual data chunks ...
Starting download process of file: taxdb.tar.gz ...
Checking md5 hash of file: taxdb.tar.gz ...
The md5 hash of file 'taxdb.tar.gz' matches!
File 'taxdb/taxdb.tar.gz has successfully been retrieved.
Starting download process of file: taxdb.btd ...
Checking md5 hash of file: taxdb.btd ...
The md5 hash of file 'taxdb.btd' matches!
File 'taxdb/taxdb.btd has successfully been retrieved.
Starting download process of file: taxdb.bti ...
Checking md5 hash of file: taxdb.bti ...
The md5 hash of file 'taxdb.bti' matches!
File 'taxdb/taxdb.bti has successfully been retrieved.
Download process is finished and files are stored in 'taxdb'.
```
### Example NCBI Swissprot
Download NCBI Swissprot via:
```{r, eval=FALSE}
# download the entire NCBI swissprot database
biomartr::download.database.all(db = "swissprot", path = "swissprot")
```
### Example NCBI CDD Delta
Download NCBI CDD Delta via:
```{r, eval=FALSE}
# download the entire NCBI CDD Delta database
biomartr::download.database.all(db = "cdd_delta", path = "cdd_delta")
```
For each data package, `biomartr` checks the `md5checksum` of the downloaded file and the file stored online to make sure that internet connection losses didn't currupt the file. In case you see a warning message notifying you about not-matching `md5checksum` values, please re-download the corresponding data package. From my own experience this can happen when server connections or internet connections are not very stable during the download process of large data chunks.
__Please notice that most of these databases are very large, so users should take of of providing a stable internet connection throughout the download process.__
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