The participants will be provided several group accounts to collect and process data on the SSRL macromolecular crystallography computers. These accounts will become inaccessible about one week after the course has finished. Students who collect data from their own samples or transfer data sets to SSRL may request a personal account to store these data any time before or during the course. While data in personal accounts will be eventually deleted, they can be accessed remotely without restrictions for as long as they remain on disk. Course participants are responsible for backing up diffraction images or processing results generated during the course There are several options available for data backup, described here
Note that, outside the beamlines, there are very few public terminals or workstations at SSRL. Therefore, it is strongly encouraged that the participants bring a laptop, both for access to the data processing servers during tutorials, to connect to the beamlines for remote data collection (eg, during the night) and personal use. There is a SLAC owned network available via WiFi or a standard wired network (at the beamlines) for internet access for visitors.
To get remote access to beamlines and data, the participants must install a NoMachine client on their laptop before or during the course. This page provides instructions to download, install and configure the remote access software. We have one remote server dedicated to the course, smbnxs3. Try to use this as the first option. If it runs out of connections, use smbnxs1 and smbnxs2. To avoid overwhelming one of the servers with too many connections, we suggest that participants in the yellow, purple, coral and blue groups connect to smbnxs1, and those in the red, magenta, green and cyan groups, use smbnxs2. See group assignments below.
Participants who want to bring data sets to SSRL can use a USB drive or transfer the data via a secure transfer protocol at any time before the start of the course. Please contact the organizers for more details.
To transfer over the network images and results obtained during RapiData, use any file transfer program that uses a secure transport protocol. Examples of such programs are scp, sftp and rsync or freeware clients like WinSCP and FileZilla. Use smbcopy.slac.stanford.edu to connect to the rapidata directories.
If you log in to the rapidata account via the remote NX client, open a window and ssh to smbcopy, then use a command like:
scp -r -C /data/rapidata/Gd-Lyso user@my_lab.edu:remote_data_dir/
Please make sure that you transfer any useful data from the course as soon as possible: we do not back up the data disk so potentially the data could be lost or corrupted in a file server outage. Also, we will block the account one week after the end of the course.
Here is a list of data sets for general access:
To access and download the screening results from your samples, use the Sample database to locate your spreadsheet (note that it may be named after some other person in your group).
Only non-hazardous samples can be brought to the course.
Participants who would like to use the SSRL SAM robot to mount samples (recommended) should refer to the SSRL User Guide to find out our permitted type and length of pins. Other pin types and lengths may be OK, but they will have to be mounted manually. If in doubt, please contact the course organizers.
Participants who have a standard SSRL cassette or Unipucks may ship their samples already mounted in the container. If not, pre-frozen samples can be shipped in cryovials and transferred to a cassette during the course. Note that "ALS style pucks" compatible with other robot systems cannot be used with the SAM robot. This page has a diagram showing the differences between the two types of pucks. If not sure about which one is the correct one, please send the samples in cryovials.
We recommend to ship your samples early. Ideally they should arrive at the latest in the week before the course. We will provide proper storage for samples arriving earlier than that.
SLAC, SSRL MS: 99 2575 Sand Hill Rd. Menlo Park, CA 94025
Please alert the organizers in advance if the shipment requires special handling (e.g. refrigeration)
TIGERS (USA) GLOBAL LOGISTICS, INC. 514 ECCLES AVENUE SOUTH SAN FRANCISCO, CA 94080 Attn: Jay Allison (jay.allison@go2tigers.com) Phone (BUSN):650/873-2842/7230 Fax:650/583-4350 Website:http://www.go2tigers.com
Arrangements for shipping samples/dewars back can be done during the course.
If anyone wishes to leave samples onsite to collect more data after the course has finished, please talk to the course organizers.
For the purpose of organizing access to the beamlines, the participants will be split in eight groups. These assignments can be flexible
Yellow | Purple | Coral | Blue | Red | Magenta | Green | Cyan |
---|---|---|---|---|---|---|---|
Go Watanabe | Fernandes Rodrigues | Mariana Morais | Wallace Chan | Jacob Milligan | Herana Seneviratne | Laura Nguyen | Ricardo Pereira |
James Terrell | Ariadna Juarez | Jonathan Sanchez | Raymond Sierra | Andrew Oliveira | Rebecca Cooper | Emmanuel Nji | Erick Hernandez |
Jing Mu | Moeko Toride | Jing Liu | Rayees Mattoo | Nidanie Henderson-Stull | Juliana Torini | Madushi Raththagala | Burak Veli Kabasakal |
Bei-Bei Liu | Amila Abeykoon | Noe Baruch | Luke Pennington | Leah Ray | Han Dao | Siobhan Hughes | Jungmin Yoon |
Joe Klaus | Daria Marchany | Camila Pascoal | Diane Bryant | Catherine Isom | Ryan Gumper | Rakhi Rajan | Kornelia Mikula |
Sarah Rollauer |
Reservations can be made by phone (650) 926-2800, email guesthouse@stanford.edu
or via their web
site.
At this time, the Stanford Guest House is full for the duration of the
course. See a list of nearby accommodations.
May 3-8 2015
Registration for the course is closed.
Ana Gonzalez
Bus: (650) 926-8682
Email: ana@slac.stanford.edu
Clyde Smith
Bus: (650)
926-8544
Email: csmith@slac.stanford.edu