第十四届国际生物信息学论坛

国际生物信息学论坛(International Bioinformatics Workshop, IBW)是由国际、国内华人生物信息学与计算生物学科学家于2003年共同发起的大规模国际学术交流活动,致力于通过举办高水平学术会议,推动中国生物信息学研究和教育与国际水平接轨。第十四届国际生物信息学论坛(IBW 2019)将于2019年8月3—4日在北京召开,预计规模300~350人。

此次会议由北京大学生物信息中心承办,北京大学数学科学学院/统计科学中心、北京大学分子医学研究所、北京大学医学部基础医学院医学生物信息学系、北京大学肿瘤医院生物信息中心协办。本次会议已经确定国内外20余位生物信息学与计算系统生物学领域的杰出中青年专家作大会报告(报告人名单见http://ibw2019.seq.cn/#home),交流国内外表观遗传学、基因组学、转录组学、药物基因组学、蛋白质组学、系统生物学、新一代测序技术、生物医学大数据分析技术与临床应用、精准医学等前沿科学领域的研究进展。

本次会议同时伴随会前“龙星计划”生物信息课程,为时5天,将面向于生物、医学、生统和计算机等专业的高年级本科生和低年级研究生免费开放注册(更多“龙星计划”课程信息见网站:http://ibw2019.seq.cn/#course)。此外,本次会议还将安排与报告人和生物信息学期刊编辑关于职业规划和写作投稿的专场座谈交流。

在此,我们诚挚邀请您参加本次会议!

大会报告人:(按姓名拼音排序)
Dr. Runsheng Chen, 陈润生
Runsheng Chen 中科院生物物理所,组学大数据与非编码核酸... ... More ...
Dr. Ge Gao, 高歌
Peking Univ Bioinformatics and C... Model Regulatory Net... More ...
Dr. Jing-Dong Jackie Han, 韩敬东
CAS-MPG Partner Institute for Computational Biology Computational system... Computational analys... More ...
Dr. Han Liang, 梁晗
MD Anderson Cancer Center Computational biolog... At the End of the Be... More ...
Dr. Heng Li, 李恒
Dana-Farber Cancer Institute, Harvard Univ Bioinformatics... The art of read mapp... More ...
Dr. Xiaole Shirley Liu, 刘小乐
Dana-Farber Cancer Institute, Harvard Univ Computational biolog... Computational modeli... More ...
Dr. Yixue Li, 李亦学
CAS-MPG Partner Institute for Computational Biology Big data and Bioinfo... Precision medicine i... More ...
Dr. Jian Ma, 马坚
Carnegie Mellon University Machine learning alg... Algorithms for compa... More ...
Dr. Jiguang Wang, 王吉光
Hong Kong University of Science and Technology Cancer evolution and... Spatiotemporal evolu... More ...
Dr. Kai Wang, 王凯
University of Pennsylvania Development of genom... Methods and applicat... More ...
Dr. Ting Wang, 王艇
Washington University Computational epigen... Principles of 3D gen... More ...
Dr.  Wei Wang, 王巍
UCSD Epigenomics and syst... Fundamental and tran... More ...
Dr. Shuhua Xu, 徐书华
CAS-MPG Partner Institute for Computational Biology Population Genomics ... Modeling human popul... More ...
Dr. Ying Xu, Ying Xu
University of Georguia Cancer systems biolo... Metabolic rperogramm... More ...
Dr. Li YANG, 杨力
CAS-MPG Partner Institute for Computational Biology Computational transc... Harness unintended n... More ...
Dr. Kai Ye, 叶凯
Xi'an Jiaotong University genome variation... The Opium Poppy Geno... More ...
Dr. Chongzhi Zang, 臧充之
University of Virginia Landscape of CTCF bi... ... More ...
Dr. Jianyang Zeng, 曾坚阳
Tsinghua University Computational biolog... Machine Learning for... More ...
Dr. Yong Zhang, 张勇
同济大学 Computational epigen... A DNA methylation st... More ...
Dr. Sheng Zhong, 钟声
University of California San Diego Epigenome and RNA in... A novel mechanism fo... More ...

日程安排

会议安排

7月29日—8月2日: “龙星计划”生物信息课程(须单独提交报名申请,并由组委会审核,详情见左侧“2019龙星课程”页面)

8月2日 13:00-20:00:会议注册

8月3日—8月4日:      IBW 2019

8月3日上午时间安排
时间
报告人
报告题目
主持人
08:20-08:40
开幕式
特约报告
08:40-09:10
陈润生院士(中科院生物物理研究所)
组学大数据与非编码核酸
09:10-09:30
合影
大会报告
09:30-09:55
王凯 (Univerity of Pennsylvania)
Methods and applications of long-read sequencing in medical genomics
TBA
09:55-10:20
李恒(Harvard University)
The art of read mapping
10:20-11:00
茶歇
11:00-11:25
臧充之 (Univerity of Virginia)
Landscape of CTCF binding in the cancer genome
TBA
11:25-11:50
韩敬东(CAS-MPG Partner Institute for Computational Biology)
Computational analysis of aging and development
11:50-12:15
叶凯(西安交通大学)
The Opium Poppy Genome and morphinan production
12:15-14:00
午餐
8月3日下午及晚上时间安排
时间
报告人
报告题目
主持人
14:00-14:25
王艇(Washington University in St. Louis)
Principles of 3D genome evolution
TBA
14:25-14:50
马坚(Carnegie Mellon University)
Algorithms for comparing multi-species 3D genome structure and function
14:50-15:15
徐书华(CAS-MPG Partner Institute for Computational Biology)
Modelling human population admixture in East Asia and Southeast Asia
15:15-15:45
茶歇
15:45-16:10
徐鹰(University of Georgia)
Metabolic reprograming in cancer
TBA
16:10-16:35
李亦学(CAS-MPG Partner Institute for Computational Biology)
Precision medicine in hepatocellular carcinoma: From cell lines to patients
16:35-17:00
梁晗 (MD Anderson Cancer Center)
At the End of the Beginning of Cancer Genomics
17:30-19:30
晚宴
19:30-21:00
交流会
8月4日全天时间安排
时间
报告人
报告题目
主持人
09:00-09:25
钟声 (University of California San Diego)
A novel mechanism for fusion RNA biogenesis in Cancer
TBA
09:25-09:50
王吉光(Hongkong University of Science and Techonology)
Spatiotemporal evolution informs precision oncology in gliobastoma
09:50-10:15
高歌(北京大学)
Modeling Regulatory Network at Single-Cell Level
10:15-11:00
茶歇
11:00-11:25
杨力(CAS-MPG Partner Institute for Computational Biology)
Harness unintended nucleic acid mutation to targeted base editing
TBA
11:25-11:50
张勇(同济大学)
A DNA methylation state transition model reveals the programmed epigenetic heterogeneity in pre-implantation embryos
11:50-14:00
午餐
14:00-14:25
王巍(UCSD)
TBA
14:25-14:50
曾坚阳(清华大学)
Machine Learning for Modeling 3D Genome Structure
14:50-15:15
Xiaole Shirley Liu(Harvard University)
Computational modeling of tumor-specific antibody repertoires

IBW 2019会议

会议组织委员会
  • 刘小乐(哈佛大学)
  • 李亦学、韩敬东(中国科学院-马普学会计算生物学研究所)
  • 徐鹰(佐治亚大学)
  • 李程、高歌、孔雷、陆剑(北京大学生科院、生物信息中心)
  • 席瑞斌、邓明华(北京大学数学科学学院/统计科学中心)
  • 李川昀(北京大学分子医学研究所)
  • 崔庆华、杨恩策、李婷婷、周源、王欢(北京大学基础医学院)
  • 吴健民(北京大学肿瘤医院生物信息中心)
  • 刘克胜(志诺维思基因科技公司)
协办单位
赞助单位

在线注册

目前本届大会报名人数已超过400人,参会名额已满,现已停止报名,已不接受在线或现场注册(报名以缴费到款时间为准)。

注:*为注册必填项。用户名为邮箱名,注册成功后不能修改,一个邮箱只能申请一次。为了便于联系,请填写真实姓名。系统的初始密码为"123456",注册成功后请修改密码。

个人信息

系统的初始密码为"123456",为保证安全,请登录后修改密码。

海报征集

尊敬的老师/同学:

您好!

感谢您对第十四届国际生物信息学论坛(IBW2019)的支持,现组委会面向注册学员征集海报,如您有已发表或想要展示的生物信息学相关研究成果,可以将研究的摘要(中英文均可)发送至 info@seq.cn,摘要提交截止日期至2019年7月20日18:00,大会组委会将根据提交的研究摘要选出部分优秀的参加大会交流(筛选结果另行通知)。大会设置墙报展示区,规格为120cm(高)*90cm(宽),代表参会时自带到会场,会务组统一布置。

Dragon Star Course on Bioinformatics

2019年龙星计划《生物信息学》课程将在7月29日-8月2日于北京举行,课程特邀宾州大学王凯教授讲授,包括课堂教学和上机练习,免费向国内师生开放注册。报名截止时间至2019年5月14日18时。

2019年度的生物信息学课程将面向于生物、医学、生统和计算机等专业的高年级本科生和低年级研究生开放。今年的课程侧重于医学基因组学的方法与实践,在5天的学习班课程中,学员将学习到人类基因组学的基本知识和寻找疾病基因的生信方法和软件的使用。课程内容包括高通量测序和基因芯片技术的背景,全基因组关联的统计学原理与实践,短读长与长读长的序列对比,人类外显子组测序和全基因组测序的分析方法,单碱基突变与结构变异的注释解读,单基因疾病的个体遗传诊断,复杂疾病的基于人群数据的基因寻找,以及利用多种基因组学技术共同发现疾病基因。

讲师信息

授课老师王凯 现任美国宾夕法尼亚大学病理系副教授,兼任费城儿童医院细胞与分子治疗中心的研究员。他本科毕业于北京大学生物化学系,博士毕业于美国西雅图的华盛顿大学,并在美国宾夕法尼亚大学与费城儿童医院从事基因组学博士后研究。从2010年起在美国南加州大学兹尔卡神经遗传所担任助理教授和副教授,后至美国哥伦比亚大学担任生物医学信息学系副教授。王凯老师的学术专长在于开发生物医学信息学的计算分析工具进行高通量基因组数据的深度挖掘,以及利用功能基因组学方法寻找人类遗传疾病的致病基因与致病机理。在生物医学信息学方面的代表性成果包括第一个应用了生物通路的方法去研究全基因组关联的数据,发展了拷贝数变异软件PennCNV,测序注释的软件ANNOVAR,遗传突变临床解读的软件InterVar,基于表型的基因筛选软件Phenolyzer,基于自然语言处理医学文本的软件EHR-Phenolyzer。他发表了200余篇文章,涵盖多个与人类遗传学和基因组学相关的方向。

办学目标

生物信息学是当前高新热点领域之一,与现代生物医药科技发展存在密切联系,对科研成果向经济产业转化有重要推动作用,并对高素质理工科创新思维与生物医药分析能力相融合的创新型紧缺人才培养具有重大意义。

招生规模

面向全国,招收研究生、高等院校高年级本科生、青年教师和少量产业界人士,生物医药、农林科学、数学、计算机、自动化及相关专业背景均可。报名者须在线申请,组委会依据报名者的专业情况、学习潜力和报名时间,兼顾区域和不同单位分布,推选250名左右学员参加学习。

学习条件

承办单位将对被录取的正式学员免收学费,并提供相应的学习资料。学员一经录取后,凭听课证入场听课。学员自行预订宾馆,食宿费用自理。

授课方式

采用理论教学与上机实践相结合的方式进行授课。主讲教师及相关专家还将就学员感兴趣的话题进行面对面的深入探讨和交流。

考核奖励

本次课程的课程学习、学术报告等环节结束后进行考核。经考核合格的正式学员将获得课程结业证书,参加课程的学员必须遵守课程管理规定,所有学员必须参加全部教学内容的学习,每节课有老师考勤,中途请假或早退者不能获得结业证书。

相关会议

龙星课程之后将于北京召开“第十四届国际生物信息学论坛(IBW 2019)”(8月3日-4日),20余位国内外著名生物信息学者做大会报告。见IBW主页

报名选拔

2019龙星计划生物信息学课程组委会将根据申请情况,综合考虑地区、单位、学科以及申请材料提交早晚,择优录取,录取通知将通过邮件发送,具体报名结果以收到活动举办方发出的“确认参会通知”为准。

扫描下方二维码,填写表单注册。

龙星计划报名二维码:
Summary

This is a five day course to cover bioinformatics methods and applications, with a specific focus on human genome analysis and disease gene finding. The audience consists of senior undergraduate students and junior graduate students from diverse backgrounds (biology, medicine, biostatistics, computer science), but all with strong interests in studying the genomics of human diseases. In each day, the instructor gives lectures during the morning session (3 hours), and guides the lab session in the afternoon in separate smaller groups (2-3 hours). The students will practice and use software tools to analyze real genetic data, but each specific task (such as genome assembly or reads mapping) should not take more than 30 minutes to complete, so that the students have exposure to a large number of computational tools for a wide range of purposes.

Syllabus
General consideration

The course will focus on bioinformatics in the genetic studies of human inherited diseases, with some contents on novel genomic technologies such as long-read sequencing and optical mapping. It will not cover cancer genomics and somatic mutations. Both underlying theory of the methods and their real-world application will be covered in the lecture session and in the lab session.

Small question: shall we include ChIP-Seq, DNAse-Seq, bisulfate sequencing, HiC and other relevant epigenomics methods in the course? This may be squeezed into one day.

Tentative Schedule
Day 1. Background on genomic technologies and analytical methods in human disease studies.

Describe SNP genotyping, short-read sequencing, long-read sequencing, linked-read sequencing, optical mapping, RNA-Seq, single-cell RNA-Seq, and other genomic technologies currently used in human disease studies. Describe typical data formats, and typical procedures for data QC, alignment and variant calling. Describe the difference in genetic diagnosis of individual patients versus gene finding from large population studies, and describe the difference between single-gene Mendelian diseases and common/complex diseases. Illustrate basic concepts in dominant, recessive, genetic pleiotropy and de novo mutations. Briefly mention linkage studies and the rationale behind it.

Practice the use of alignment software tools for a small exome data set (Illumina reads), and a small low coverage long-read data set (Nanopore reads). Practice the handling of BAM files by samtools. Practice the variant calling using freebayes, and examine specific alignments in integrative genomics viewer. Practice the use of UCSC Genome Browser to examine genes or genomic elements in specific regions. Understand the different genome coordinate system and how to download necessary reference genome files from public resources.

Day 2. Structural variants and genome assembly

Describe the use of SNP genotyping, short-read and long-read sequencing to identify structural variants in human genome and typical methods to detect structural variants. Describe the rationale and algorithms behind short -read assembly (de Bruijn graph) and long-read assembly (error correction and overlapping based approaches) for genome assembly. Illustrate the use of assembly based approaches for metagenomics studies and for analyzing complex structural variants.

Practice the analysis of an Illumina SNP array data to identify copy number variants that delete disease genes. Practice the assembly of a small bacteria genome by short-read sequencing by SOAPdenovo, and practice the assembly of a small bacteria genome by long-read sequencing by canu. Practice the use of DELLY or LUMPY for SV finding from a specific genome region from an example WGS data. Practice the use of nanoSV or sniffles to call structural variants from low-coverage long-read sequencing data.

Day 3. Diagnosis of rare genetic diseases through exome/genome sequencing

Describe disease gene finding from exome/genome data, including variant annotation, and the clinical interpretation of genetic mutations. Describe how clinical phenotype information can be useful for diagnosis of individual patients, and how to use standardized phenotype ontologies to expedite genetic diagnosis. Describe the various databases and resources to help understand rare genetic diseases, and the known knowledge on genes/variants that cause these diseases.

Practice the use of Annovar to annotate genetic mutations from a VCF file, and examine the mutations to prioritize possible disease causal mutations. Practice how to interpret the scores generated by functional prediction algorithms, and understand the differences in coding, noncoding, missense and nonsense variants. Practice the use of phenotype terms to predict candidate diseases and candidate disease genes in Phenomizer and Phenolyzer. Practice the variant interpretation in InterVar, and practice the manual adjustment of evidence codes to infer pathogenicity of mutations.

Day 4. Identification of novel disease genes from cohort studies

Describe the background of genome-wide association studies using SNP arrays, the statistical methods that are used in typical GWAS, and the recent extension to exome/genome sequencing methods. Describe burden tests, prioritization of de novo and inherited mutations, and pathway approaches to identify disease-associated genes.

Practice the use of PLINK to analyze a real or synthetic data sets and identify genome-wide significant hits. Practice the qqplot, Manhattan plot and calculate genomic inflation factor. Practice GCTA for estimation of disease heritability from GWAS data. Practice the use of burden tests to score each genes from a synthetic exome data as a VCF file with cases and controls. Practice the use of vcftools to find inherited versus de novo mutations.

Day 5. RNA-Seq: dysregulation of gene expression levels and splicing patterns in human diseases

Describe the background of RNA-Seq, and the available technologies for RNA-Seq analysis, including short-read sequencing and long-read sequencing and single-cell sequencing. Describe the models of quantification and methods to assemble transcriptome and identify novel splicing patterns. Describe tSNE and other clustering approaches for single-cell data.

Practice the use of STAR or tophat for aligning short reads to a reference genome using a GTF files as a guide. Practice the use of rMATs or MISO on short read sequencing data, and practice a de novo trinity transcript assembly tool if time allows. Practice the alignment of long RNA-Seq reads using GMAP or minimap2, and examine results in IGV. Discuss how RNA-Seq can facilitate genome/exome sequencing and improve diagnostic yields. Practice the analysis of a simple 10X Genomics single cell data, and discuss how single cell data can reveal novel biological insights in affected tissues.

往届回顾

2017年8月4-6日,由哈尔滨工业大学承办的第十三届国际生物信息学研讨会(IBW 2017)成功举办,全国400余名生物信息学领域的研究者/学生参加此次会议,本次会议共邀大会报告24人,其中国外12人、国内12人,举办了专家-学生交流会、PI研讨会。本次会议的成功举办有力地推动了国内生物信息学科的进一步发展。

交通及住宿

IBW2019会议
地址:

北京市昌平区泰康商学院酒店

交通:

地铁昌平线生命科学园站下车后可转乘871路/878路公交至生命园路下车。

周边住宿推荐:

速8酒店(北京生命园国际医院店)            收费标准:388元/起   咨询电话:010-56230068

格林豪泰商务酒店(北京华北电力大学店)收费标准:418元/起   咨询电话:010-80790079

如家快捷酒店(北京北清路航天城店)       收费标准:509元/起   咨询电话:010-59841710

泰康商学院   收费标准:468元/起   可通过组委会统一预定,组委会咨询电话 010-57178481

龙星课程培训
地址:

北京市海淀区学院路北大医学部(地铁近十号线西土城站)

周边住宿推荐:

七天连锁酒店(北京电影学院牡丹园地铁站店)收费标准:389元/起 咨询电话:13269777858

会务组联系方式

  • 联系人:刘女士
  • 座机:010-57178481
  • 手机:18644998212(微信号同手机号)
  • 邮箱:seq@seq.cn