Incorporating computational resources in a cancer research program

Nicholas T. Woods, Ankita Jhuraney, Alvaro N.A. Monteiro

Research output: Contribution to journalReview article

1 Citation (Scopus)

Abstract

Recent technological advances have transformed cancer genetics research. These advances have served as the basis for the generation of a number of richly annotated datasets relevant to the cancer geneticist. In addition, many of these technologies are now within reach of smaller laboratories to answer specific biological questions. Thus, one of the most pressing issues facing an experimental cancer biology research program in genetics is incorporating data from multiple sources to annotate, visualize, and analyze the system under study. Fortunately, there are several computational resources to aid in this process. However, a significant effort is required to adapt a molecular biology-based research program to take advantage of these datasets. Here, we discuss the lessons learned in our laboratory and share several recommendations to make this transition effective. This article is not meant to be a comprehensive evaluation of all the available resources, but rather highlight those that we have incorporated into our laboratory and how to choose the most appropriate ones for your research program.

Original languageEnglish (US)
Pages (from-to)467-478
Number of pages12
JournalHuman genetics
Volume134
Issue number5
DOIs
StatePublished - May 1 2015

Fingerprint

Research
Neoplasms
Genetic Research
Information Storage and Retrieval
Molecular Biology
Technology
Datasets

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

Cite this

Incorporating computational resources in a cancer research program. / Woods, Nicholas T.; Jhuraney, Ankita; Monteiro, Alvaro N.A.

In: Human genetics, Vol. 134, No. 5, 01.05.2015, p. 467-478.

Research output: Contribution to journalReview article

Woods, Nicholas T. ; Jhuraney, Ankita ; Monteiro, Alvaro N.A. / Incorporating computational resources in a cancer research program. In: Human genetics. 2015 ; Vol. 134, No. 5. pp. 467-478.
@article{80e02cc38169473482e250faac4e4c14,
title = "Incorporating computational resources in a cancer research program",
abstract = "Recent technological advances have transformed cancer genetics research. These advances have served as the basis for the generation of a number of richly annotated datasets relevant to the cancer geneticist. In addition, many of these technologies are now within reach of smaller laboratories to answer specific biological questions. Thus, one of the most pressing issues facing an experimental cancer biology research program in genetics is incorporating data from multiple sources to annotate, visualize, and analyze the system under study. Fortunately, there are several computational resources to aid in this process. However, a significant effort is required to adapt a molecular biology-based research program to take advantage of these datasets. Here, we discuss the lessons learned in our laboratory and share several recommendations to make this transition effective. This article is not meant to be a comprehensive evaluation of all the available resources, but rather highlight those that we have incorporated into our laboratory and how to choose the most appropriate ones for your research program.",
author = "Woods, {Nicholas T.} and Ankita Jhuraney and Monteiro, {Alvaro N.A.}",
year = "2015",
month = "5",
day = "1",
doi = "10.1007/s00439-014-1496-3",
language = "English (US)",
volume = "134",
pages = "467--478",
journal = "Human Genetics",
issn = "0340-6717",
publisher = "Springer Verlag",
number = "5",

}

TY - JOUR

T1 - Incorporating computational resources in a cancer research program

AU - Woods, Nicholas T.

AU - Jhuraney, Ankita

AU - Monteiro, Alvaro N.A.

PY - 2015/5/1

Y1 - 2015/5/1

N2 - Recent technological advances have transformed cancer genetics research. These advances have served as the basis for the generation of a number of richly annotated datasets relevant to the cancer geneticist. In addition, many of these technologies are now within reach of smaller laboratories to answer specific biological questions. Thus, one of the most pressing issues facing an experimental cancer biology research program in genetics is incorporating data from multiple sources to annotate, visualize, and analyze the system under study. Fortunately, there are several computational resources to aid in this process. However, a significant effort is required to adapt a molecular biology-based research program to take advantage of these datasets. Here, we discuss the lessons learned in our laboratory and share several recommendations to make this transition effective. This article is not meant to be a comprehensive evaluation of all the available resources, but rather highlight those that we have incorporated into our laboratory and how to choose the most appropriate ones for your research program.

AB - Recent technological advances have transformed cancer genetics research. These advances have served as the basis for the generation of a number of richly annotated datasets relevant to the cancer geneticist. In addition, many of these technologies are now within reach of smaller laboratories to answer specific biological questions. Thus, one of the most pressing issues facing an experimental cancer biology research program in genetics is incorporating data from multiple sources to annotate, visualize, and analyze the system under study. Fortunately, there are several computational resources to aid in this process. However, a significant effort is required to adapt a molecular biology-based research program to take advantage of these datasets. Here, we discuss the lessons learned in our laboratory and share several recommendations to make this transition effective. This article is not meant to be a comprehensive evaluation of all the available resources, but rather highlight those that we have incorporated into our laboratory and how to choose the most appropriate ones for your research program.

UR - http://www.scopus.com/inward/record.url?scp=84928665608&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928665608&partnerID=8YFLogxK

U2 - 10.1007/s00439-014-1496-3

DO - 10.1007/s00439-014-1496-3

M3 - Review article

C2 - 25324189

AN - SCOPUS:84928665608

VL - 134

SP - 467

EP - 478

JO - Human Genetics

JF - Human Genetics

SN - 0340-6717

IS - 5

ER -