There are large files in NCBI, such as this, a 25GB file
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE185948
I do know how to download it by cutting it with custom filters for smaller files.
However, is there a way to direct download multiple large files such as GSE185948?
Thank you for your attention.
To download a large file using Aspera, Install the Aspera command-line client on your computer
.....use this link https://downloads.asperasoft.com/en/downloads/8
....then open a terminal in window go the directory whre you want to download file
.... put this cmd
ascp -i -T -l [email protected]:/geo/series///.sra .
....definately replace the path tout yor aspera pvt key and put the download speed like 100MBS , series acession and all
.....you can request akey from here ----
https://www.ncbi.nlm.nih.gov/books/NBK25497/#Aspera.Request_a_Key
.....for eg.-----
ascp -i -T -l 500M [email protected]:/geo/series/GSE1900500/GSM5000000/GSM9808623.sra .
To download a large file from internet you can split file to separated sections each section download in stand alone task.
For this solution you can use free download manager (FDM).
FDM worded on Linux, windows, Mac and android.
Downloading large files from sources like NCBI can be challenging due to their size. While you can use custom filters to download smaller subsets of data, direct downloading of multiple large files may require scripting or automation to streamline the process. Here's a general approach to consider:
NCBI Data Download API: NCBI provides an Entrez Direct UNIX command-line utility and a related API that can be used to automate data retrieval. You can use this tool to search for datasets and download them programmatically.
NCBI SRA Toolkit: If you are dealing with sequence data from the Sequence Read Archive (SRA), you can use the NCBI SRA Toolkit. It allows you to download and convert SRA data into a format suitable for analysis.
Scripts and Automation: You can write scripts in programming languages like Python or use tools like wget or curl to automate the download process. These scripts can read a list of accession numbers (e.g., GSE185948) and download the corresponding datasets.
Always be mindful of NCBI's terms of use and data usage policies when automating downloads, and ensure that you are complying with their guidelines. Additionally, consider network bandwidth and storage capacity when downloading large datasets.
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