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                美國生物信息學專業詳解,沈陽留學中介誠意推薦

                發布時間:2019-05-30

                  美國生物信息學專業介紹:

                  生物信息學是一門利用計算機技術研究生物系統之規律的學科。

                  生物信息學作為一門新的學科領域,它是把基因組DNA序列信息分析作為源頭,在獲得蛋白質編碼區的信息后進行蛋白質空間結構模擬和預測,然后依據特定蛋白質的功能進行必要的藥物設計。基因組信息學,蛋白質空間結構模擬以及藥物設計構成了生物信息學的3個重要組成部分。從生物信息學研究的具體內容上看,生物信息學應包括這3個主要部分:⑴新算法和統計學方法研究;⑵各類數據的分析和解釋;⑶研制有效利用和管理數據新工具。

                  生物信息學基本上只是分子生物學與信息技術(尤其是因特網技術)的結合體。生物信息學的研究材料和結果就是各種各樣的生物學數據,其研究工具是計算機,研究方法包括對生物學數據的搜索(收集和篩選)、處理(編輯、整理、管理和顯示)及利用(計算、模擬)。

                  進入21世紀后,生命科學的發展重點從人類基因組測序轉向了基因功能、蛋白質功能探測,美國又率先拉開了以蛋白質和藥物基因學為研究重點的后基因組時代的帷幕。時至今日,美國崛起了波士頓、舊金山灣、華盛頓、圣迭戈和北卡研究三角園等5大生物產業基地,成為地方經濟支柱和美國生物技術產業化的基礎。五大基地擁有實力雄厚的大學和研究機構做強大后盾。如波士頓的哈佛大學和麻省理工學院,舊金山灣區的加州大學舊金山分校、加州大學伯克利分校、斯坦福大學,大華府地區則云集了一批世界級的教學、研究、管理機構,如美國國家衛生研究院、美國食品和藥品管理局、霍華德·休斯醫學院研究實驗室、馬里蘭大學研究中心和約翰·霍普金斯大學等。北卡羅來納研究三角園則毗鄰北卡羅來納州著名的杜克大學和北卡羅來納大學查波爾希爾分校。

                  美國生物信息學專業研究方向:

                  生物信息學的主要研究方向:基因組學 - 蛋白質組學 - 系統生物學 - 比較基因組學,1989年在美國舉辦生物化學系統論與生物數學的計算機模型國際會議,生物信息學發展到了計算生物學、計算系統生物學的時代。

                  1、序列比對(Sequence Alignment)

                  2、蛋白質結構比對和預測

                  3、基因識別、非編碼區分析研究

                  4、分子進化和比較基因組學

                  5、序列重疊群(Consigns)裝配

                  6、遺傳密碼的起源

                  7、基于結構的藥物設計

                  8、生物系統的建模和仿真

                  9、生物信息學技術方法的研究

                  10、生物圖像

                  姑且不去引用生物信息學冗長的定義,以通俗的語言闡述其核心應用即是:隨著包括人類基因組計劃在內的生物基因組測序工程的里程碑式的進展,由此產生的包括生物體生老病死的生物數據以前所未有的速度遞增,已達到每14個月翻一番的速度。同時隨著互聯網的普及,數以百計的生物學數據庫如雨后春筍般迅速出現和成長。然而這些僅僅是原始生物信息的獲取,是生物信息學產業發展的初級階段,這一階段的生物信息學企業大都以出售生物數據庫為生。以人類基因組測序而聞名的塞萊拉公司即是這一階段的成功代表。

                  美國生物信息學專業就業前景:

                  生物技術一直是美國政府所支持的重點產業領域,包括克隆在內的尖端研究都是在政府的大力支持下所進行的,所以相關生物學專業的就業狀況一直以來都是趨向于良好發展。從1997年到2002年,美國的經濟形勢大好,NIH持續大筆的投入,于是新的職位大量產生。無論是在研究機關或者生物公司,投資每年都以超過7%速度增長。而職位的增長速度也保持在4-5%左右。

                  可以看到,美國大學生物專業是一個交叉性十分強的學科,伴隨科技飛速發展,學科劃分越來越細,學科交叉性越來越強,許多生物相關的新興學科方興未艾。生物醫學工程、生物統計學、生物信息學等學科在就業市場上已經展現出了其獨特的優勢,具備這樣交叉學科技術的復合型高素質人才在就業市場上十分搶手。此外,生物相關的應用類學科包括公共衛生、食品、營養等,人才缺口也較基礎研究類大。

                  美國生物信息學專業就業方向:

                  生物信息學專業雖然就業前景不錯,但是還是需要畢業生有牢固的基礎知識和專業技能。生物信息學專業學生主要學習生物信息學的基本理論和方法,受到相關科學實驗和科學思維的基本訓練,具有較好的分子生物學、計算機科學與技術、數學和統計學素養,具備生物信息的收集、分析、挖掘、利用等方面的基本能力,具有較好的業務素質,能在科研機構、高等院校、醫療醫藥、環境保護等相關部門與行業從事教學、科研、管理、疾病分子診斷、藥物設計、生物軟件開發、環境微生物監測等工作的高級科學技術人才。

                  鑫泉留學沈陽分公司趙禹湘老師為大家詳細介紹美國開設生物信息學專業的大學以及錄取要求和課程簡介等內容,都是絕對的干貨哦!

                  波士頓大學生物信息學專業介紹

                  官網地址:http://www.bu.edu/

                  MS in Bioinformatics 生物信息學

                  http://www.bu.edu/academics/grs/programs/bioinformatics/ms/

                  Course Requirements

                  The master’s degree requires 32 credits of coursework. In order to receive a master’s degree, students must demonstrate mastery of the required subject matter (no lower than a B in all required courses). Course requirements are as follows:

                  CAS BI 552 Molecular Biology I (Students may take CAS BI 553, Molecular Biology II, if approved by their advisor)

                  ENG BE 562 Computational Biology: Genomes, Networks, Evolution (Students with no prior experience or exposure to bioinformatics application should take ENG BF 527, Bioinformatics Applications, before taking ENG BE 562)

                  ENG BF 768 Biological Database Systems

                  ENG BF 778 Physical Chemistry for Systems Biology

                  ENG BF 821 Bioinformatics Graduate Seminar (2 cr each; 4 cr total)

                  ENG BF 541 Bioinformatics Internship

                  碩士學位課程需要32學分。為了獲得碩士學位,學生必須證明掌握所需的主題(在所有必修課程中不低于B)。課程要求如下:

                  ?CAS BI 552分子生物學I(學生可以參加CAS BI 553,分子生物學II,如果他們的顧問批準)

                  ?ENG BE 562計算生物學:基因組,網絡,進化(沒有經驗或接觸過生物信息學應用的學生應該參加ENG BF 527,生物信息學應用,然后再參加ENG BE 562)

                  ?ENG BF 768生物數據庫系統

                  ?ENG BF 778用于系統生物學的物理化學

                  ?ENG BF 821生物信息學研究生研討會(每個2 cr;總共4 cr)

                  ?ENG BF 541生物信息學實習

                  必修課程的實施將根據以前記錄的學術和/或工作經驗確定。學生及其顧問將向課程委員會申請此類同等學歷。當過去的工作或替代課程被接受為核心等效課程時,學生的顧問將推薦其他課程以完成20個核心學分。應該采用高級選修課程來取代任何放棄的課程要求。

                  完成碩士學位要求所需的其余學分將包括選修課和/或其他研究項目。

                  ?

                  ?Fall 2019 Core Courses

                  ?ENG BE 562: Computational Biology: Genomes, Networks, Evolution

                  ?ENG BF 751: Molecular Biology and Biochemistry for Bioinformatics

                  ?GRS MA 681: Accelerated Introduction to Statistical Methods for Quantitative Research

                  ?ENG BF 690: Bioinformatics Challenge Project

                  ?ENG BF 810: Bioinformatics PhD Laboratory Rotation

                  ?ENG BF 820: Bioinformatics Research Opportunities

                  ?ENG BF 821: Bioinformatics Graduate Seminar

                  ?CAS BI 552: Molecular Biology I

                  ?ENG BF 831: Translational Bioinformatics Seminar

                  ?Electives

                  ?Spring 2019 Core Courses

                  ?ENG BF 768-A1: Biological Database Systems

                  ?ENG BF 690-A1: Bioinformatics Challenge Project

                  ?ENG BF 571-A1: Dynamics and Evolution of Biological Networks

                  ?ENG BF 528-A1: Applications in Translational Bioinformatics

                  ?ENG BF 752-A1: Legal and Ethical Issues of Science and Technology

                  ?ENG BF 810-A1: Laboratory Rotation System

                  ?ENG BF 821-A1: Bioinformatics Graduate Seminar

                  ?Electives

                  ?課程設置

                  ?2019年秋季 核心課程

                  ?ENG BE 562:計算生物學:基因組,網絡,進化

                  ?ENG BF 751:生物信息學的分子生物學和生物化學

                  ?GRS MA 681:定量研究統計方法的加速介紹

                  ?ENG BF 690:生物信息學挑戰項目

                  ?ENG BF 810:生物信息學博士實驗室輪換

                  ?ENG BF 820:生物信息學研究機會

                  ?ENG BF 821:生物信息學研究生研討會

                  ?CAS BI 552:分子生物學I.

                  ?ENG BF 831:轉化生物信息學研討會

                  ?選修課

                  ?2019年春季 核心課程

                  ?ENG BF 768-A1:生物數據庫系統

                  ?ENG BF 690-A1:生物信息學挑戰項目

                  ?ENG BF 571-A1:生物網絡的動力學和演化

                  ?ENG BF 528-A1:轉化生物信息學中的應用

                  ?ENG BF 752-A1:科學技術的法律和倫理問題

                  ?ENG BF 810-A1:實驗室旋轉系統

                  ?ENG BF 821-A1:生物信息學研究生研討會

                  ?選修課

                  MS計劃要求

                  The master’s degree requires a total of 32 credits. MS candidates must demonstrate mastery of the core subject matter (no lower than a “B” in core courses) to fulfill their degree requirements. Students must also demonstrate a working knowledge of computational methods available to the modern bioinformatician through the successful completion of a 400-hour internship project, followed by a written and oral report which will serve as a master’s thesis. Fulfillment of core course equivalents will be determined based on documented previous academic and/or work experience. If an alternate course has been accepted as a core equivalent, the academic advisor will recommend a courses to fulfill the requirements.

                  碩士學位共需要32學分。MS候選人必須證明掌握核心課程(不低于核心課程中的“B”)才能滿足他們的學位要求。學生還必須通過成功完成400小時的實習項目,然后通過書面和口頭報告作為碩士論文,展示現代生物信息學家可用的計算方法的工作知識。核心課程等效課程的實施將根據以前記錄的學術和/或工作經驗確定。如果替代課程已被接受為核心等效課程,學術顧問將推薦一門課程來滿足要求。

                  ?Core Courses

                  ?ENG BE 562: Computational Biology: Genomes, Networks, Evolution

                  ?The algorithmic and machine learning foundations of computational biology, combining theory with practice are covered. Principles of algorithm design and core methods in computational biology, and an introduction of important problems in computational biology. Hands-on experience analyzing large-scale biological data sets. 4 cr.

                  ?OR

                  ?ENG BF 528: Applications in Translational Bioinformatics

                  ?Bioinformatics is an interdisciplinary field devoted to managing and analyzing largescale biological data, such as the DNA sequence of the human genome, and has become an essential tool in interpreting and translating biological knowledge for use in a clinical setting. This course introduces graduate and upper–level undergraduate students to the principles of bioinformatic analysis applied to translational studies. Application topics will include gene expression analysis, biomarker development, and Genome Wide Association Studies (GWAS). Bioinformatics methods including microarray analysis, short read sequence analysis, biological pathways and geneset enrichment analysis, and Quantitative Trait Loci (QTL) will be covered. Lectures and assignments will be designed around reproducing the results of preselected studies from the literature that exemplify the topics. The primary focus will be using existing software tools and published data to perform analyses, but most tasks will require some programming. 4 cr.

                  ?ENG BE 768: Biological Database Systems

                  ?Describes relational data models and database management systems; teaches the theories and techniques of constructing relational databases to store various biological data, including sequences, structures, genetic linkages and maps, and signal pathways. Introduces relational database query language SQL and the ORACLE database management system, with an emphasis on answering biologically important questions. Summarizes currently existing biological databases. Describes web-based programming tools to make databases accessible. Addresses questions in data integration and security. The future directions for biological database development are also discussed. 4 cr.

                  ?ENG BF 571: Dynamics and Evolution of Biological Networks

                  ?This course focuses on mathematical models for exploring the organization, dynamics, and evolution of biochemical and genetic networks. Topics include: introductions to metabolic and genetic networks, deterministic and stochastic kinetics of biochemical pathways; genome-scale models of metabolic reaction fluxes; models of regulatory networks; modular architecture of biological networks. 4 cr.

                  ?ENG BF 831: Translational Bioinformatics Seminar

                  ?After commencing briefly with general introductory material (published reviews and other relevant back-ground information), students will proceed to examine, discuss and evaluate recent papers that directly illustrate the use of bioinformatics either in pre-clinical or clinical research settings. Papers will be drawn from high-impact journals such as Nature, Science, PNAS, Cell, and Science Translational Medicine. Students will take turns presenting the papers to the class and provide a critical review of each. They will also complete a term paper in the form of a research proposal directed to the goal of using bioinformatics to advance a medical intervention (e.g. prognostic, diagnostic or therapeutic). Brief guest presentations by researchers in BUSM laboratories will be arranged as appropriate. Previous guest facilitators have included faculty from the Department of Biostatistics, Section of Computational Biomedicine, and Department of Mathematics and Statistics as well as industry leaders. 2 cr.

                  ?CAS BI 552: Molecular Biology I

                  ?Synthesis, structure, and function of biologically important macromolecules (DNA, RNA, and proteins). Regulation and control of the synthesis of RNA and proteins. Introduction to molecular biology of eukaryotes. Discussion of molecular biological techniques, including genetics and recombinant DNA techniques. 4 cr.

                  ?OR

                  ?ENG BF 751: Molecular Biology and Biochemistry for Bioinformatics

                  ?Modern research in the life sciences is an increasingly interdisciplinary endeavor where new fields of study have developed at the interfaces of biology, chemistry, physics, mathematics, and computer science. In many instances, the development of these new fields goes hand in hand with development of new experimental approaches to surveying the content of the cell. While, traditional molecular cell biology and biochemistry courses often focus on the basic details of cell physiology and macromolecular (DNA, lipid, protein) structures, they too often neglect the quantitative aspects of number, scale, forces, etc. that are crucial to providing a larger context within living systems. This course aims at reframing the basic concepts of cell and molecular biology in a quantitative context and providing a basic overview of some of the key approaches used to develop a quantitative framework inside the cell. How this detailed information can then be applied to bioinformatics research problems will also be explored. 4 cr.

                  ?Internship Projects

                  ?MS students in the BU Bioinformatics Program have completed internships at more than 100 labs, hospitals, universities and biotech companies, including New England Biolabs, the MIT Lincoln Laboratory, the Hospital Corporation of America, Novartis, Takeda, Biogen and the Bioinformatics HUB, a BU pilot project started by Adam Labadorf, a 2015 Bioinformatics PhD alum. Read more about the internship projects at the HUB here.

                  ?核心課程

                  ?ENG BE 562:計算生物學:基因組,網絡,進化

                  ?涵蓋了計算生物學的算法和機器學習基礎,理論與實踐相結合。計算生物學中的算法設計原理和核心方法,以及計算生物學中的重要問題的介紹。分析大規模生物數據集的實踐經驗。4點

                  ?或者

                  ?ENG BF 528:轉化生物信息學中的應用

                  ?生物信息學是一個跨學科領域,致力于管理和分析大規模生物數據,如人類基因組的DNA序列,并已成為解釋和翻譯生物知識用于臨床環境的重要工具。本課程向研究生和高年級本科生介紹應用于轉化研究的生物信息學分析原理。應用主題包括基因表達分析,生物標志物開發和基因組廣泛關聯研究(GWAS)。將涵蓋生物??信息學方法,包括微陣列分析,短讀序列分析,生物途徑和基因組富集分析,以及數量性狀基因座(QTL)。講座和作業將圍繞從主題例證的文獻中再現預選研究的結果而設計。主要關注點是使用現有的軟件工具和發布的數據來執行分析,但大多數任務都需要一些編程。4點

                  ?ENG BE 768:生物數據庫系統

                  ?描述關系數據模型和數據庫管理系統; 教授構建關系數據庫以存儲各種生物數據的理論和技術,包括序列,結構,遺傳連鎖和圖譜以及信號通路。介紹關系數據庫查詢語言SQL和ORACLE數據庫管理系統,重點是回答生物學上重要的問題。總結了現有的生物數據庫。描述基于Web的編程工具以使數據庫可訪問。解決數據集成和安全性方面的問題。還討論了生物數據庫開發的未來方向。4點

                  ?ENG BF 571:生物網絡的動力學和演化

                  ?本課程重點介紹用于探索生化和遺傳網絡的組織,動態和演化的數學模型。主題包括:代謝和遺傳網絡的介紹,生化途徑的確定性和隨機動力學; 代謝反應通量的基因組規模模型; 監管網絡模型; 生物網絡的模塊化架構。4點

                  ?ENG BF 831:轉化生物信息學研討會

                  ?在簡要介紹一般介紹性材料(已發表的評論和其他相關背景信息)之后,學生將繼續研究,討論和評估最近直接說明生物信息學在臨床前或臨床研究環境中使用的論文。論文將來自高影響力的期刊,如Nature,Science,PNAS,Cell和Science Translational Medicine。學生將輪流向全班展示論文,并對每篇論文進行嚴格審核。他們還將以研究提案的形式完成學期論文,該研究提案旨在使用生物信息學來推進醫學干預(例如預后,診斷或治療)。將酌情安排BUSM實驗室研究人員的簡短嘉賓演講。以前的客座輔導員包括生物統計學系,計算生物醫學系,數學與統計系以及行業領導者。2點

                  ?CAS BI 552:分子生物學I.

                  ?生物學上重要的大分子(DNA,RNA和蛋白質)的合成,結構和功能。調節和控制RNA和蛋白質的合成。真核生物分子生物學概論。討論分子生物學技術,包括遺傳學和重組DNA技術。4點

                  ?或者

                  ?ENG BF 751:生物信息學的分子生物學和生物化學

                  ?生命科學領域的現代研究是一門越來越跨學科的研究,新的研究領域已經在生物學,化學,物理學,數學和計算機科學的界面上發展起來。在許多情況下,這些新領域的發展與開發用于測量細胞內容的新實驗方法密切相關。雖然傳統的分子細胞生物學和生物化學課程往往側重于細胞生理學和大分子(DNA,脂質,蛋白質)結構的基本細節,但它們往往忽略了數量,規模,力量等對提供物質至關重要的數量方面。生活系統中的更大背景。本課程旨在以定量的方式重構細胞和分子生物學的基本概念,并提供一些用于在細胞內部開發定量框架的關鍵方法的基本概述。此外,還將探討如何將這些詳細信息應用于生物信息學研究問題。4點

                  ?實習項目

                  ?BU生物信息學項目的碩士生已經完成了100多個實驗室,醫院,大學和生物技術公司的實習,包括新英格蘭Biolabs,麻省理工學院林肯實驗室,美國醫院公司,諾華,武田,Biogen和生物信息學中心, BU試點項目由2015年生物信息學博士明星Adam Labadorf開始。在這里閱讀更多關于HUB的實習項目。

                  http://bubhub.bumc.bu.edu/about/

                  申請要求






                  東北大學生物信息學專業介紹

                  官網地址:https://www.northeastern.edu/

                  生物信息學專業碩士Master of Science program in Bioinformatics

                  https://www.northeastern.edu/graduate/program/master-of-science-in-bioinformatics-boston-14244/

                  Northeastern University’s Master of Science program in Bioinformatics provides cross-disciplinary training in biology, computer science, and informational technology for today’s cutting-edge jobs in the biotechnology and pharmaceutical industries.

                  東北大學生物信息學碩士課程為當今生物技術和制藥行業的尖端工作提供生物學,計算機科學和信息技術方面的跨學科培訓。MS in Bioinformatics requires 32 credit hours

                  學費:48100美金

                  Requirements 錄取要求

                  ?Online application

                  ?Application fee

                  ?Unofficial transcripts for all institutions attended

                  (Official transcripts required upon acceptance of admission offer)

                  ?Personal statement

                  ?Two letters of recommendation

                  ?GRE scores recommended, but not required

                  ?Proof of English Proficiency for all applicants (from one of the following):

                  ?Degree earned or in progress at a U.S. institution

                  ?Degree earned or in progress at an institution where English is the only medium of instruction

                  ?Official exam scores from either the TOEFL iBT, IELTS, or PTE exam

                  https://cos.northeastern.edu/bioinformatics/academics/admissions-requirements-materials/#_ga=2.212278801.48703453.1553840365-876247839.1542353429





                  最后附上全美生物數學和生物信息學專業TOP20院校榜單還有趙老師申請成功的一個美國東北大學生物信息學專業案例offer展示,希望對你的院校選擇祝一臂之力。

                  美國大學生物數學和生物信息學專業排名TOP20

                  貝勒大學 Baylor University

                  查塔姆大學 Chatham University

                  克拉夫林學院 Claflin University

                  達文波特大學 Davenport University

                  甘農大學 Gannon University

                  芝加哥洛約拉大學 Loyola University Chicago

                  密歇根理工大學 Michigan Technological University

                  新澤西理工學院 New Jersey Institute of Technology

                  紐約大學理工學院 Polytechnic Institute of New York University

                  新澤西拉瑪珀學院(瑪華) Ramapo College of New Jersey

                  倫斯勒理工學院 Rensselaer Polytechnic Institute

                  羅徹斯特理工學院 Rochester Institute of Technology

                  羅克赫斯特大學 Rockhurst University

                  圣愛德華大學 St. Edward's University

                  圣文森特學院 St. Vincent College

                  圣地亞哥州立大學 San Diego State University

                  紐約州立大學-水牛城分校 University at Buffalo SUNY

                  加州大學圣克魯斯分校 University of California--Santa Cruz

                  丹佛大學 University of Denver

                  馬里蘭大學巴爾的摩縣分校 University of Maryland Baltimore County

                本文作者:鑫泉留學沈陽分公司美加留學規劃師  趙禹湘老師
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                資訊來源:鑫泉留學

                責任編輯:孫卉

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