Published July 3, 2025
| Version v5
Dataset
Open
Leopard-EM Constrained Search Tutorial
Authors/Creators
Description
This is a tutorial for performing constrained 2D template matching in the Python package Leopard-EM.
The notebook in this tutorial guides you through detecting small ribosomal subunits in 2D cryo-EM data of yeast.
Files
constrained_search_results_combined_final.csv
Files
(2.0 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:893d88dbdf2fe768c6b40f8e6c597227
|
1.3 MB | Download |
|
md5:c48af706850f002352328ac9536db07a
|
1.3 MB | Download |
|
md5:8ca663e10d994a9005096794832e3d7c
|
9.8 MB | Download |
|
md5:2f10a72fce3e8ffbf0caa80c983eeb7a
|
10.0 MB | Download |
|
md5:58a764b6955a7711308a192144db2a19
|
536.9 MB | Download |
|
md5:df6d07950093ff76f129d6f587870db8
|
16.6 MB | Download |
|
md5:9e1ccc91282a10c05cf3afe851d5f5ad
|
17.0 MB | Download |
|
md5:6a69a6b56c8881e856c2a10ed9ae4b20
|
3.4 MB | Download |
|
md5:b6ce019b2d87ed7f4172bfdb061e1da3
|
3.4 MB | Download |
|
md5:9371d4ad340ae26e69ef428ef98cf6ff
|
2.0 kB | Download |
|
md5:f9b615e21b13745dc39c102a4816e199
|
2.0 kB | Download |
|
md5:7d35309d996058133da86a061eb773e8
|
2.0 kB | Download |
|
md5:b52fabac03aad7b14c0863d27ddc4840
|
2.0 kB | Download |
|
md5:f11d800a1bb578e9d9deabbe97bfe3d8
|
209.7 kB | Preview Download |
|
md5:0ce641070a9107ba1aa5d1770a91ca06
|
176.0 kB | Preview Download |
|
md5:0c2e498ed7868e9e8ca036e604e253cd
|
200.5 kB | Preview Download |
|
md5:f107c294f503b52589e14cb0cfbbf5d5
|
178.5 kB | Preview Download |
|
md5:d011e098f613c0779874b0c532c4126b
|
172.7 kB | Preview Download |
|
md5:1f07861f64deeea34700638c8d243d25
|
80 Bytes | Preview Download |
|
md5:22425590914151dbf303b4e81a3c2d53
|
271.7 kB | Preview Download |
|
md5:5583b16bfee8ce92e5ba6be06f665bea
|
175.9 kB | Preview Download |
|
md5:b5986d50eb04141a14512aadce406a80
|
103 Bytes | Preview Download |
|
md5:7b94e8603d98f4b979a4db9efb4f3aea
|
271.9 kB | Preview Download |
|
md5:541eba3b8123d5899a318aa1a2c3280d
|
208.2 kB | Preview Download |
|
md5:2f4deb43c14528f4cba2b1feabaab338
|
104 Bytes | Preview Download |
|
md5:2ab8a0b42d3ea6d6c034074d615ae384
|
272.1 kB | Preview Download |
|
md5:94be7d5c5c2703efadb81040bc9c28df
|
178.9 kB | Preview Download |
|
md5:bcff69d2b5d4a7c83fc608f9fc925c81
|
106 Bytes | Preview Download |
|
md5:7f4602ef896528c614753a74ec47bc1c
|
282.9 kB | Preview Download |
|
md5:c1f6dfb0ce9c1a94ae9be959d0d8e6b2
|
184.1 kB | Preview Download |
|
md5:82b154d3fb778e3c6ad260f1a64391d6
|
105 Bytes | Preview Download |
|
md5:97d79ba52ecb17f1af6fdd958e8a75a3
|
1.1 MB | Preview Download |
|
md5:92fdc5e59a0b9852036896823a047bcc
|
1.4 kB | Download |
|
md5:5bee42b69e4420fdd20ec63c095bc67d
|
1.4 kB | Download |
|
md5:23161e48f7548d99c1b3ea18a7dab740
|
1.4 kB | Download |
|
md5:41616228d40658004aecbaf1971b3b3f
|
1.4 kB | Download |
|
md5:58516665125f2c60179d04135c861ea0
|
29 Bytes | Preview Download |
|
md5:c09dd7f81382f2ff74926b9655329ef1
|
316 Bytes | Preview Download |
|
md5:0c7bad988c1ebcdbf66591aaeb3049e7
|
794 Bytes | Preview Download |
|
md5:12787267e35aec511312b9ee7301b3c3
|
51.4 MB | Download |
|
md5:82884937cd1ae00446be4a7ef7106b75
|
51.4 MB | Download |
|
md5:903d332949456e2fa498d4c8a7cf107a
|
51.4 MB | Download |
|
md5:801a9ebd22d023b4e0733cc8f4b3b35e
|
51.4 MB | Download |
|
md5:855139ab95f2ef4790adbe139789cbdf
|
51.4 MB | Download |
|
md5:414fd244778dada5ba4e5f7c35209d75
|
51.4 MB | Download |
|
md5:5edf2964f824d8c74b867422c364f846
|
51.4 MB | Download |
|
md5:73f0666c0226afeb74745373b482d93c
|
51.4 MB | Download |
|
md5:9a9d6d08b818961a0b7667c12fb0e6c0
|
51.4 MB | Download |
|
md5:cd21eaaa2b0ffd75668afe414528c5d0
|
51.4 MB | Download |
|
md5:73cf2924faab9a4d7f6632fe4631c003
|
51.4 MB | Download |
|
md5:d79f314bbc8d932e9a9bbb2fc3b1396e
|
51.4 MB | Download |
|
md5:aacb8a6f17e27aebb531477b791f1dbe
|
51.4 MB | Download |
|
md5:a6d9a29a4931f5874efeb83e6ae178d8
|
51.4 MB | Download |
|
md5:1a415d61765f57ca5adefc0271f8c79f
|
51.4 MB | Download |
|
md5:31793388d4eacdf952fdec7f4e3a1f63
|
51.4 MB | Download |
|
md5:be4a658522c5b67129badc0dc90d88f4
|
1.5 kB | Download |
|
md5:bcfac90696bc0984543642e0e2f188a1
|
136.6 kB | Preview Download |
|
md5:736fe9d5364481f507b80776765c241f
|
8.0 kB | Preview Download |
|
md5:1f01dfdbaa2fbeb9487c39f28f61e862
|
225.0 kB | Preview Download |
|
md5:e3e0de1cd5e9f3d4df06ff331c0d6c0d
|
218.4 kB | Preview Download |
|
md5:f13bee6b1a97c9746430591a9e355c78
|
7.5 kB | Preview Download |
|
md5:9c0023bf38b1c80478135adb1c787ece
|
257.7 kB | Preview Download |
|
md5:c0a553b212e34838631b0f2cf95255f4
|
834 Bytes | Preview Download |
|
md5:2e9da81fa2e99643fe5ee7d48d9e213b
|
2.0 kB | Download |
|
md5:3d45dd62769f5a329f1508a338f31a09
|
2.0 kB | Download |
|
md5:14a54fa1c578aa0ad8d261ce44e49ec5
|
2.0 kB | Download |
|
md5:045effc8f1c504c2e70731d1b95cd5f2
|
2.0 kB | Download |
|
md5:8c571270a12d747fccaabe9bd8c46f76
|
593 Bytes | Download |
|
md5:6d8900e07a723210b41b1362878737be
|
593 Bytes | Download |
|
md5:1549d93ae9bd8c5943a9b5f88fa25777
|
595 Bytes | Download |
|
md5:116499be75e81f1cac3aa336f4be131d
|
478 Bytes | Download |
|
md5:59e85363c7bde819542786a90990d576
|
1.8 kB | Download |
|
md5:403b2b080bdcf7754b9fdbdfc3edef01
|
8.9 kB | Download |
|
md5:edadc9821ddd8aca41173fb686923505
|
536.9 MB | Download |
|
md5:884c919bbb7375519c3f64b2a7e4cfd8
|
67.1 MB | Download |
|
md5:7dc16fca29a2815d18904cf571a3db65
|
4.2 MB | Download |
Additional details
Software
- Repository URL
- https://github.com/Lucaslab-Berkeley/Leopard-EM/
- Programming language
- Python
- Development Status
- Active