Bioinformatics resources for cancer research with an emphasis on gene function and structure prediction tools
The immensely popular fields of cancer research and bioinformatics overlap in many different areas, e.g. large data repositories that allow for users to analyze data from many experiments (data handling, databases), pattern mining, microarray data analysis, and interpretation of proteomics data. The...
Main Authors: | Daisuke Kihara, Yifeng David Yang, Troy Hawkins |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2006-01-01
|
Series: | Cancer Informatics |
Subjects: | |
Online Access: | http://la-press.com/article.php?article_id=115 |
Similar Items
-
Identification of genes and pathways involved in malignant pleural mesothelioma using bioinformatics methods
by: Xingsheng Liu, et al.
Published: (2021-04-01) -
Dysregulation of Signaling Pathways Due to Differentially Expressed Genes From the B-Cell Transcriptomes of Systemic Lupus Erythematosus Patients – A Bioinformatics Approach
by: S. Udhaya Kumar, et al.
Published: (2020-04-01) -
PMA: Protein Microarray Analyser, a user-friendly tool for data processing and normalization
by: Jessica Da Gama Duarte, et al.
Published: (2018-02-01) -
Identification of Differentially Expressed Genes and miRNAs for Ulcerative Colitis Using Bioinformatics Analysis
by: Weitao Hu, et al.
Published: (2022-06-01) -
Bioinformatic Analysis Revealed the Essential Regulatory Genes and Pathways of Early and Advanced Atherosclerotic Plaque in Humans
by: Luling He, et al.
Published: (2022-12-01)