Feel free to use this shortlist to test the waters and play around with each plugin yourself. We also recommend reading further, since we break down each of the WordPress directory plugins to find the best features and reasons for going with each.
The Business Directory Plugin includes all core directory features such as fully customizable form fields, image support, and payment acceptance. These core features are all free when you download the main plugin, but you also have the option to download some add-ons for a premium price. A package with all of the add-ons goes for $199.99 (onetime fee) while the individual modules start at $69.99.
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Toolset Directory allows you to build directory websites without any PHP coding. In fact, this plugin is both a good option for coding novices looking to build their own website for the first time or experienced programmers who need to build websites fast. Toolset Directory integrates perfectly with some of the most popular plugins including Elementor, WPML, and WooCommerce as well as all major themes.
Once the command is executed, fastlane will show you the steps for configuring snapshot. Go to the newly-created Snapfile inside the ./fastlane directory and configure it as shown below, uncommenting any relevant options as needed:
You will find some text files inside the fastlane directory which are named after their corresponding fields in the App Store (e.g. description, keywords, categories, etc). fastlane will use these files to populate your app's metadata in App Store Connect.
First you should get familiar with the Globus command-line interface. Then add something like the following at the end of your Biowulf batch job: #!/bin/bash# process your data..... some batch job commands ....# now set up a Globus command-line transfer to copy the results back to your local systemglobus transfer --recursive \e2620047-6d04-11e5-ba46-22000b92c6ec:/data/user/mydir/d8eb36b6-6d04-11e5-ba46-22000b92c6ec:/data1/myoutput/ \The output from the last line of this batch script, which will appear in the usual slurm-#####.out output file, will be a Globus task id of the form Task ID: 2fdd385c-bf3e-11e3-b461-22000a971261 To/from Cloud/Object storageLocal scripts to transfer data to/from the NIH HPC object storageRclones3cmd to transfer to/from AWS S3.Globus transfers to/from Google Cloud StorageGlobus transfers to/from AWSCLI transfers to/from Amazon AWS The Amazon AWS Command Line Interface (CLI) allows you to transfer data via the command line to or from AWS S3 storage. The utility is already installed on the HPC systems and can be accessed with 'module load aws'. Helix, the interactive data transfer system, is the best place to use this. Sample session:helix% module load aws helix% aws configure (see here for docs) ### For anonymous download, leave None for the promptshelix% aws s3 ls s3://mybucket #list contents of buckethelix% aws s3 sync helphelix% aws s3 sync s3://mybucket /data/$USER/mydir (download a full bucket)helix% aws s3 cp s3://BUCKETNAME/PATH/TO/FOLDER /data/$USER/mydir --recursive (download a folder in a bucket)helix% aws --no-sign-request s3 cp s3://BUCKETNAME/PATH/TO/FOLDER /data/$USER/mydir (download a file anonymously in a bucket)CLI transfers to/from Google Cloud The Google Cloud SDK allows you to transfer data using the command line to or from Google Cloud Storage. The SDK is already installed on the HPC systems and can be accessedwith 'module load google-cloud-sdk'. Helix, the interactive data transfer system, is the best place to use this. Sample session:helix% module load google-cloud-sdkhelix% gcloud init# get send back a link that you have to paste in your browser and then you can select# your google account that is linked to the buckethelix% gsutil -m cp gs://my_bucket/* .Note: the -m flag is for multithreading/multi-processing. The number of threads/processes is set by the flags parallel_thread_count andparallel_process_count in your boto config file. You can find the appropriate config file by typing helix% gsutil version -lRecommended values are:parallel_thread_count=4parallel_process_count=4CLI transfers to/from Azure storage The azcopy is a command-line utility to copy blobs to or from Azure storage. It is already installed on the HPC systems and can be accessedwith 'module load azcopy'. Helix, the interactive data transfer system, is the best place to use this.Sample session:helix% module load azcopyhelix% azcopy login# get send back a link that you have to paste in your browser and then you can enter the code XXXX # to authenticate. Next you may sign in with your NIH email.helix% azcopy cp " .helix% azcopy cp " . --recursiveNote: the quotes are essential for transferring with token.Specialized file transfer toolsSome sources of biological data have specialized tools for file transfer. UK BioBank download tools
BGI Online Tools
NCI Cancer Genomics Cloud (CGC) Uploader
EGA download client
Genomics Data Commons (GDC) client
Downloading data from NCBI: NCBI makes a large amount of data available through the NCBI ftp site, and also provides most or all of the same data on their Aspera server. Aspera is a commercial package that has considerably faster download speeds than ftp. More details in the NCBI Aspera Transfer Guide. Note that SRA or dbGaP downloads are better done via the SRAtoolkit. via the Aspera command line client You can use the Aspera command-line client (ascp) on Helix to download data from NCBI directly into your Biowulf/Helix account space. Aspera transfers can put a heavy I/O load on the Biowulf login node, and will not work from the Biowulf compute nodes, so please perform all Aspera transfers on Helix, the interactive file transfer system.You do not need to load any modules. The 'ascp' command is available on Helix by default. If desired, you can set an alias for ascp that includes the key, e.galias ascp="/usr/bin/ascp -i /opt/aspera/asperaweb_id_dsa.openssh"Sample session (user input in bold):helix% ascp -T -i /opt/aspera/asperaweb_id_dsa.openssh -l 300M \ anonftp@ftp-trace.ncbi.nlm.nih.gov:/snp/organisms/human_9606/ASN1_flat/ds_flat_ch1.flat.gz \ /scratch/$USERds_flat_ch1.flat.gz 100% 5523MB 291Mb/s 02:41Completed: 5656126K bytes transferred in 161 secondsIf your download stops before completion, you can use the -k2 flag to resume transfers without re-downloading all the data. e.g.helix% ascp -T -i /opt/aspera/asperaweb_id_dsa.openssh -k2 -l500M \ anonftp@ftp-trace.ncbi.nlm.nih.gov:/snp/organisms/human_9606/ASN1_flat /data/user/ds_flat_ch1.flat.gz 100% 323MB 0.0 b/s 00:03 [...]ds_flat_chPAR.flat.gz 100% 7742KB 402 b/s 00:01 ds_flat_chUn.flat.gz 100% 39MB 107Mb/s 00:00 ds_flat_chX.flat.gz 100% 104MB 196Mb/s 00:18 ds_flat_chY.flat.gz 100% 14MB 3.3Mb/s 04:59 Completed: 1706213K bytes transferred in 301 seconds (46432K bits/sec), in 30 files, 1 directory.In the example above, the client skips over the files that had previously been transferred, and will download only the remaining files.Typical file transfer rates from the NCBI server are 400 - 500 Mb/s, so '-l500M' is the recommended value. via the Aspera browser plugin Data transfer by this method will be slower than using the command-line client on Helix, but may be more convenient for smaller transfers. You will need to download the free Aspera client browser plugin, install it on your desktop browser, and download the data to a Helix/Biowulf data area that is mapped onto your desktop system. Download the Aspera Connect browser plugin from the Aspera website and install on your Mac, Windows, or Linux system.Map your Helix /data or /scratch area on your desktop system as described in the section above on Mapped Network Drive.Start up Aspera Connect on your Mac, Windows or Linux system. Go to Preferences->Network, and set the connection speed to the maximum value. In our tests, the actual typical download speed to a desktop system is 50 - 100 Mb/s. Point your browser to the NCBI Aspera server and select the directory or files you want to download. Select your Helix data or scratch areas as the download target area. You can monitor the download in the Aspera transfer manager window.By clicking on the icon in the transfer manager window, you can open the Transfer Monitor which will show a more detailed graph of the transfer rate via FTP It is also possible to download data from NCBI using ftp. In our tests, the Aspera client gave up to 5x faster transfer speeds than NCBI. However, some data may only be available on the NCBI ftp server. On Helix or Biowulf, use ftp ftp.ncbi.nlm.nih.gov to access the NCBI ftp site. Sample session (user input in bold):helix% ftp ftp.ncbi.nlm.nih.govConnected to ftp.wip.ncbi.nlm.nih.gov.220- Warning Notice![...] --- Welcome to the NCBI ftp server! The official anonymous access URL is Public data may be downloaded by logging in as "anonymous" using your E-mail address as a password. Please see for hints on large file transfers220 FTP Server ready.500 AUTH not understood500 AUTH not understoodKERBEROS_V4 rejected as an authentication typeName (ftp.ncbi.nlm.nih.gov:user): anonymous331 Anonymous login ok, send your complete email address as your password.Password:230 Anonymous access granted, restrictions apply.Remote system type is UNIX.Using binary mode to transfer files.ftp> cd blast/db/250 CWD command successfulftp> get wgs.58.tar.gzlocal: wgs.58.tar.gz remote: wgs.58.tar.gz227 Entering Passive Mode (130,14,29,30,195,228)150 Opening BINARY mode data connection for wgs.58.tar.gz (983101055 bytes)226 Transfer complete.983101055 bytes received in 1.3e+02 seconds (7.7e+03 Kbytes/s)ftp> quit221 Goodbye.helix% Uploading SRA data: via the Aspera command line client You can use the Aspera command-line client (ascp) on Helix to upload data to NCBI directly. Aspera transfers can put a heavy I/O load on the Biowulf login node, and will not work from the Biowulf compute nodes, so please perform all Aspera transfers on Helix.You do not need to load any modules. The 'ascp' command is available on Helix by default. However you need to get the private SSH key file from NCBI. Sample session (user input in bold):helix% ascp -i $full_path/sra-1.ssh.priv -QT -l 500M -k1 -d $directory \ subasp@upload.ncbi.nlm.nih.gov:uploads/ is your personal account SRA folder generated for you and is listed under the Aspera Command-Line upload link. See for more info.If your download stops before completion, you can use the -k2 flag to resume transfers without re-downloading all the data. Uploading GEO data: NCBI's Gene Expression Omnibus (GEO) is a public functional genomics data repository. To submit to GEO, you need to register for an account and obtain the GEO FTP credentials (including your account-specific GEO submission directory). via Secure Copy You can use scp on Helix to upload data to NCBI's GEO FTP site. To transfer files with scp, the GEO destination host is specified as geoftp@sftp-private.ncbi.nlm.nih.gov:uploads/your_geo_workspace. Replace your_geo_workspace with your specific GEO submission directory. Use the GEO FTP credentials to authenticate.Sample session (user input in bold, comments after ##):helix% ## Upload a single filehelix% scp sample.fq.gz geoftp@sftp-private.ncbi.nlm.nih.gov:uploads/abc_xyz/ geoftp@sftp-private.ncbi.nlm.nih.gov's password:sample.fq.gz 100% 2672MB 43.8MB/s 01:01helix% ## Uploading a directory containing GEO submission datahelix% scp -r submission_dir geoftp@sftp-private.ncbi.nlm.nih.gov:uploads/abc_xyz/ helix% ## Uploading multiple files matching filenames starting with sample1helix% scp submission_dir/sample1* geoftp@sftp-private.ncbi.nlm.nih.gov:uploads/abc_xyz/ via LFTP You can also use lftp on Helix to upload data to NCBI's GEO FTP site. To transfer files with lftp, the GEO destination host is specified as @ftp-private.ncbi.nlm.nih.gov. After authenticating with the GEO FTP password, users must change to their specific GEO submission directory. Sample session (user input in bold):helix% lftp @ftp-private.ncbi.nlm.nih.govPassword:lftp geoftp@ftp-private.ncbi.nlm.nih.gov:/> cd uploads/abc_xyzcd ok, cwd=/uploads/abc_xyzlftp geoftp@ftp-private.ncbi.nlm.nih.gov:/uploads/abc_xyz> mirror -R test_submission_dirTotal: 1 directory, 6 files, 0 symlinksNew: 6 files, 0 symlinks17228023193 bytes transferred in 87 seconds (188.58M/s)lftp geoftp@ftp-private.ncbi.nlm.nih.gov:/uploads/abc_xyz> lsdrwxrwsr-x 2 geoftp geo 4096 Feb 5 13:57 test_submission_dirlftp geoftp@ftp-private.ncbi.nlm.nih.gov:/uploads/abc_xyz> exit Uploading to OpenNeuro OpenNeuro.org is a free and open platform for validating and sharing BIDS-compliant MRI, PET, MEG, EEG, and iEEG data.Data can be uploaded directly from Biowulf using the openneuro command-line tool. It is best to do this on Helix, the designated interactive data transfer node. Sample session helix% module load OpenNeuro_cli[+] Loading nodejs[+] Loading OpenNeuro_cli 4.14.0 ...helix% openneuro loginYou will be prompted to choose an OpenNeuro instance (e.g. openneuro.org). You will then be asked to provide an API key. You can get one from after having logged in via the browser.You will then be asked whether they want to enable error reporting. Then, to actually upload the data: helix% openneuro upload PATH_TO_BIDS_FOLDERUse the -i flag to ignore warnings. Thanks to Lina Teichman, NIMH for testing and providing these commands. Transfers from the Biowulf compute nodes: By design, the Biowulf cluster is not connected to the internet. However, files can be transferred to and from the cluster using a Squid proxy server. Click on the link below for more details on how to use the proxy server.
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