On the internal correlations of protein sequences probed by non-alignment methods: Novel signatures for drug and antibody targets via the Burrows-Wheeler Transform

Daniel J. Graham; Brian P. Robinson

doi:10.1016/j.chemolab.2019.07.008

On the internal correlations of protein sequences probed by non-alignment methods: Novel signatures for drug and antibody targets via the Burrows-Wheeler Transform

Daniel J. Graham, Brian P. Robinson

Department of Chemistry and Biochemistry

Loyola University Chicago

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Chemometrics and Intelligent Laboratory Systems
Volume	193
DOIs	https://doi.org/10.1016/j.chemolab.2019.07.008
State	Published - Oct 1 2019

Disciplines

Library and Information Science
Mathematics
Econometrics

Access to Document

10.1016/j.chemolab.2019.07.008License: Unspecified

Cite this

@article{7d073b896c60431f82b3c510ddbc11be,

title = "On the internal correlations of protein sequences probed by non-alignment methods: Novel signatures for drug and antibody targets via the Burrows-Wheeler Transform",

author = "Graham, \{Daniel J.\} and Robinson, \{Brian P.\}",

note = "JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. * The paper illustrates the workings of the Burrows-Wheeler Transform (BWT) followed by metric data for archetypal drug and antibody targets.",

year = "2019",

month = oct,

day = "1",

doi = "10.1016/j.chemolab.2019.07.008",

language = "American English",

volume = "193",

journal = "Chemometrics and Intelligent Laboratory Systems",

}

TY - JOUR

T1 - On the internal correlations of protein sequences probed by non-alignment methods: Novel signatures for drug and antibody targets via the Burrows-Wheeler Transform

AU - Graham, Daniel J.

AU - Robinson, Brian P.

N1 - JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. * The paper illustrates the workings of the Burrows-Wheeler Transform (BWT) followed by metric data for archetypal drug and antibody targets.

PY - 2019/10/1

Y1 - 2019/10/1

UR - https://www.sciencedirect.com/science/article/pii/S0169743919301935

U2 - 10.1016/j.chemolab.2019.07.008

DO - 10.1016/j.chemolab.2019.07.008

M3 - Article

VL - 193

JO - Chemometrics and Intelligent Laboratory Systems

JF - Chemometrics and Intelligent Laboratory Systems

ER -

On the internal correlations of protein sequences probed by non-alignment methods: Novel signatures for drug and antibody targets via the Burrows-Wheeler Transform

Disciplines

Access to Document

Other files and links

Cite this