Owner
LewisLabUCSD
9 indexed repositories · View on GitHub
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Ligand-Receptor-Pairs
Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.
155 stars
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MammalianSecretoryRecon
Secretory Pathway Reconstruction for Human, CHO, and Mouse
Jupyter Notebook · 12 stars
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PinAPL-Py
A no hassle tool for analyzing your favorite CRISPR screen dataset!
Python · 11 stars
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GlyCompare
Comparing glycoprofiles, leveraging motif substructure arithmetic
Jupyter Notebook · 10 stars
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StanDep
Code for StanDep Paper
MATLAB · 5 stars
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RegressionModelPipeline
Pipeline for feature selection, interaction assessment, regression modeling and prediction assessment for 1-1000s of features
R · 4 stars
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GlyCompareCT
glyCompare command line tool
Python · 3 stars
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iGSEA
Wrap code for runing GSEA analysis
R · 2 stars
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Mito_Trace
Tracking cell-lineage using mutations in the mitochondrion genome.
Jupyter Notebook · 0 stars
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
LewisLabUCSD/GlyCompareCT#3 · 1 comment ·
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Difficulty 1/5 Under an hour Newbie friendliness 20/100
LewisLabUCSD/Ligand-Receptor-Pairs#2 · 4 comments ·
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Mistake of the files Open
Difficulty 2/5 1-3 hours Newbie friendliness 35/100
LewisLabUCSD/Ligand-Receptor-Pairs#1 · 1 comment ·
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Difficulty 1/5 Under an hour Newbie friendliness 30/100
LewisLabUCSD/iGSEA#2 ·
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
LewisLabUCSD/PinAPL-Py#2 · 2 comments ·
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
LewisLabUCSD/GlyCompare#16 · 1 comment ·
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todo
Difficulty 5/5 Over a week Newbie friendliness 20/100
LewisLabUCSD/Mito_Trace#49 ·
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todo
Difficulty 5/5 Over a week Newbie friendliness 25/100
LewisLabUCSD/Mito_Trace#48 ·
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todo
Difficulty 5/5 Over a week Newbie friendliness 25/100
LewisLabUCSD/Mito_Trace#46 ·
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todo
Difficulty 2/5 1-3 hours Newbie friendliness 45/100
LewisLabUCSD/Mito_Trace#45 ·
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todo
Difficulty 4/5 3-5 days Newbie friendliness 35/100
LewisLabUCSD/Mito_Trace#44 ·
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todo
Difficulty 2/5 1-3 hours Newbie friendliness 45/100
LewisLabUCSD/Mito_Trace#37 ·
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todo
Difficulty 4/5 3-5 days Newbie friendliness 35/100
LewisLabUCSD/Mito_Trace#36 ·
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todo
Difficulty 4/5 3-5 days Newbie friendliness 32/100
LewisLabUCSD/Mito_Trace#35 ·
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enhancement
Difficulty 4/5 3-5 days Newbie friendliness 25/100
LewisLabUCSD/Mito_Trace#32 ·
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good first issue
Difficulty 5/5 Over a week Newbie friendliness 15/100
LewisLabUCSD/Mito_Trace#31 ·
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Implement mgatk Open
Difficulty 4/5 3-5 days Newbie friendliness 30/100
LewisLabUCSD/Mito_Trace#30 ·
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todo
Difficulty 5/5 Over a week Newbie friendliness 20/100
LewisLabUCSD/Mito_Trace#28 ·
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todo
Difficulty 2/5 1-3 hours Newbie friendliness 45/100
LewisLabUCSD/Mito_Trace#25 ·
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enhancement
LewisLabUCSD/Mito_Trace#23 · 1 assignee ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
LewisLabUCSD/Mito_Trace#22 ·
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documentation
Difficulty 3/5 1-2 days Newbie friendliness 35/100
LewisLabUCSD/Mito_Trace#21 ·
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todo
Difficulty 5/5 Over a week Newbie friendliness 20/100
LewisLabUCSD/Mito_Trace#20 · 1 comment ·
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Simulation Run OpenEpic
Difficulty 5/5 Over a week Newbie friendliness 25/100
LewisLabUCSD/Mito_Trace#19 ·
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todo
Difficulty 2/5 1-3 hours Newbie friendliness 35/100
LewisLabUCSD/Mito_Trace#15 ·
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todo
Difficulty 5/5 Over a week Newbie friendliness 25/100
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LewisLabUCSD/GlyCompare#13 · 1 assignee ·
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Difficulty 2/5 1-3 hours Newbie friendliness 35/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
LewisLabUCSD/Mito_Trace#1 · 1 comment ·
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
LewisLabUCSD/GlyCompare#8 · 2 comments ·
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Difficulty 2/5 1-3 hours Newbie friendliness 55/100
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
LewisLabUCSD/StanDep#11 ·
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LewisLabUCSD/RegressionModelPipeline#3 · 1 assignee ·
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LewisLabUCSD/RegressionModelPipeline#2 · 1 assignee ·
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LewisLabUCSD/RegressionModelPipeline#1 · 1 assignee ·