The work of Kyungho Lee, a graduate student in Informatics, was one of five artists featured during the art show at VizWeek 2012, held in last October in Seattle. VizWeek is the premier forum for computer scientists working in scientific and information visualization. Lee's work deals with the compression and data loss caused by our digital world. More …
Khuram Shahzad, a current PhD student in the Illinois Informatics Institute, has recently published two new research articles. Bioinformatics and Gene Network Analysis of the Swine Mammary Gland Transcriptome during Late Gestation was published in the July 2013 issue of Bioinformatics and Biology Insights and can be accessed online here. Shahzad's second article titled Insight from βC1 protein model for implication in cotton leaf curl disease was published in the journal Bioinformation and is also available online.
A group of Illinois Informatics Institute researchers have proposed adding a fourth branch to the phylogenetic Tree of Life. More…
Informatics PhD candidate Arshan Nasir and his advisor Professor Gustavo Caetano-Anolles, professor of crop sciences, and their collaborator Kyung Mo Kim of the Korea Research Institute of Bioscience and Biotechnology were rewarded for their publication of their article “Giant viruses coexisted with the cellular ancestors and represent a distinct supergroup along with superkingdoms Archaea, Bacteria and Eukarya” from BioMed Central. The article is available online at http://www.biomedcentral.com/1471-2148/12/156/abstract. The award will be presented later this month in Boston.
Informatics PhD student Arshan Nasir was part of Professor Gustavo Caetano-Anolles's team of researchers whose work on giant viruses has produced ground-breaking results. [link to article]
Kyungho Lee, graduate student in Informatics and Fulbright fellow, was chosen to show his work at the VisWeek 2012 art show. It is featured here: http://blog.visual.ly/visweek-2012-art-show/
ATLAS is excited to announce that we now have Atlas.ti 7 available on all of the computers in our lab located at Lincoln Hall 2043. Atlas.ti is a qualitative data analysis program designed to help researchers manage and analyze non-numerical data such as text, video, audio and graphics in a meaningful and systematic way. Students and faculty engaged in qualitative or mixed-methods research are invited to use the lab or request a consultation at:
Of interest to informatics students, particularly those interested in bioinformatics.
BIOE 498 / 598 – Computational Cancer Biology (Fall 2012)
Tue and Thu 2PM-3:20PM
Instructor: Jian Ma (firstname.lastname@example.org)
Credit: 3 undergraduate hours, 4 graduate hours
We will explore basic biology of cancer. We will discuss mathematical modeling of the process of
carcinogenesis as somatic evolution of cells. We will also focus on current research topics in cancer
biology using data from next-generation sequencing (NGS) technologies. Related tools and resources
will be examined. A selection of the latest research papers in this emerging field will be discussed.
Algorithmic and modeling methods will be stressed, but biological results and their significance will
also be addressed. The class will provide hands-on experience of using computational tools to solve
questions related to cancer genomics.
A Brief Tour of the Human Genome
Basics of Cancer Genetics
Algorithms for Sequence Alignment
Methods for Transcriptome Analysis based on RNA-seq
Identifying Aberrant Genes in Cancer
Methods for Discovering Driver Mutations in Cancer
Models of Cancer Genome Evolution and Metastasis
Models of Chromosomal Abnormalities in Cancer
Models for Cancer Somatic Evolutions
One-hit and Two-hit Stochastic Models of Cancer Initiation
Competition Dynamics and Cancer Evolution
Genome-wide Association Studies of Cancer
Computer Lab Sessions