关注
Laura L Colbran
Laura L Colbran
在 pennmedicine.upenn.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Inferred divergent gene regulation in archaic hominins reveals potential phenotypic differences
LL Colbran, ER Gamazon, D Zhou, P Evans, NJ Cox, JA Capra
Nature ecology & evolution 3 (11), 1598-1606, 2019
502019
Short DNA sequence patterns accurately identify broadly active human enhancers
LL Colbran, L Chen, JA Capra
BMC genomics 18, 1-11, 2017
252017
Sequence Characteristics Distinguish Transcribed Enhancers from Promoters and Predict Their Breadth of Activity
LL Colbran, L Chen, JA Capra
Genetics 211 (4), 1205-1217, 2019
132019
Predicting archaic hominin phenotypes from genomic data
CM Brand, LL Colbran, JA Capra
Annual review of genomics and human genetics 23 (1), 591-612, 2022
112022
Resurrecting the alternative splicing landscape of archaic hominins using machine learning
CM Brand, LL Colbran, JA Capra
Nature Ecology & Evolution 7 (6), 939-953, 2023
82023
Tracing the evolution of human gene regulation and its association with shifts in environment
LL Colbran, MR Johnson, I Mathieson, JA Capra
Genome Biology and Evolution 13 (11), evab237, 2021
82021
A gene-level test for directional selection on gene expression
LL Colbran, FC Ramos-Almodovar, I Mathieson
Genetics 224 (2), iyad060, 2023
22023
Archaic Introgression Shaped Human Circadian Traits
K Velazquez-Arcelay, LL Colbran, E McArthur, C Brand, D Rinker, ...
bioRxiv, 2023
2*2023
Predicting functional consequences of recent natural selection in Britain
L Poyraz, LL Colbran, I Mathieson
Molecular Biology and Evolution 41 (3), msae053, 2024
2024
Predicting gene regulatory changes across human evolution using ancient DNA
LL Colbran
2020
Tracing the evolution of human gene regulation and its
LL Colbran, MR Johnson, I Mathieson, JA Capra
Development of a Machine Learning Algorithm for the Prediction of Enhancer Region Activity
K Gomez, ML Benton, L Colbran, L Chen, T Capra
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