Автор: Administrator
Четверг, 13 марта 2014, 18.00
МГУ, лаб. корпус Б (факультет биоинженерии и биоинформатики), к. 221.
Инна Дубчак
Lawrence Berkeley National Laboratory
Visualization of genomic data: results, challenges, and open questions
As our ability to generate huge amounts of sequencing data continues to
increase, data analysis is becoming the rate-limiting step in genomics
studies. Visualization tools facilitate analysis tasks by enabling
researchers to explore, interpret and manipulate their data. There are a
number of graphical methods designed for the analysis of de novo
sequencing assemblies and read alignments, genome browsing, comparative
genomics, etc. All available visualization tools have their strengths
and limitations.
We will highlight new challenges in visualization that are not only a
consequence of the sheer volume and complexity of genomic data, but also
its increasing utility outside genomics research. Traditional genome
visualization approaches do not meet the needs of emerging fields such
as medical genomics and metagenomics, and new paradigms are needed.
Clinicians require efficient presentation of critical information in
order to form a diagnosis, and biobanks and population studies produce
detailed phenotype descriptions too complex to represent as a heat map
or other form of tabular visualization. These data can reveal the effect
of spatial and environmental factors on population and ecosystem
structure, but interactive, extensible, easy to use tools must be
provided to enable their analysis and exploration.
Автор: Administrator
Понедельник, 1 июля 2013, 18.00
МГУ, Лаб. корпус Б (факультет биоинженерии и биоинформатики), к. 221.
E. Kolker
Seattle Children's Research Institute
Proteomes in Profile
These days, large volumes of high-throughput mass spectrometry
proteomics studies are routinely conducted. The studies are ultimately
aimed at better understanding biological processes by studying
proteomes' profiles. However, the size and complexity of proteomics data
hinders efforts to easily share, integrate, query, and compare such
profiles. We will overview our recent developments addressing these
challenges, including the creation of MOPED (Model Organism Protein
Expression Database, moped.proteinspire.org). MOPED focuses on answering
four fundamental questions:
1. Which proteins are identified and where (organisms, tissues, localizations, pathways)?
2. How much of each protein is identified (relative and absolute expression)?
3. How does the knowledge of your current experiment compare to existing information?
4. How does this knowledge guide your next (experimental or computational) study?
Автор: Administrator
Четверг, 21 марта 2013, 18.00
МГУ, Лаб. корпус Б (факультет биоинженерии и биоинформатики), к. 221.
Prof. Dr. Edgar Wingender
University Medical Center Goettingen and geneXplain GmbH, Germany
Constructions and analysis of gene regulatory networks
Автор: Administrator
Понедельник, 4 февраля 2013, 18.00
МГУ, Лаб. корпус Б (факультет биоинженерии и биоинформатики), к. 221.
Сергей Нуждин
Университет Южной Калифорнии, США
Population Genetics + Systems Biology = Personalized Medicine?
Автор: Administrator
Московский семинар по биоинформатике
Понедельник, 3 декабря 2012, 18.00
МГУ, Лаб. корпус Б (факультет биоинженерии и биоинформатики), к. 221.
Василий Студитский
МГУ им М.В. Ломоносова и University of Medicine and Dentistry of New Jersey
Mechanisms of Pol II Transcription through Chromatin and Histone Chaperone FACT Action
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