اسلاید پاورپوینت: حل (analysis) ، پروتئین (protein) و الگوریتم (algorithm)…

 

عناوین اصلی استخراج شده از این فایل پاورپوینت

عناوین اصلی استخراج شده از این فایل پاورپوینت

● Last lecture:
● Growth in number of protein tertiary structures
● The data deluge
● High-throughput Biological Data
The data deluge
● Data issues: from data to distributed knowledge
● Bio-Data Analysis and Data Mining
● Bio-data Analysis, Data Mining and Integrative Bioinformatics
● Protein complexes for photosynthesis in plants
● Protein folding: step on the way is secondary structure prediction
● Algorithms in bioinformatics (recap)
● Algorithms in bioinformatics
● What is life?
● Evolution
● Orthology/paralogy
● Changing molecular sequences
● Types of point mutation
● Ka/Ks Ratios
● Ka/Ks ratios
● Divergent Evolution
● Evolution
● Consequence of evolution
● The citric-acid cycle
● Thinking about evolution

نوع زبان : انگلیسی حجم : ۱٫۱۶ مگا بایت
نوع فایل : اسلاید پاورپوینت تعداد اسلایدها: ۳۹ صفحه
زمان استخراج مطلب : ۲۰۱۸/۱۱/۰۲ ۰۳:۳۰:۰۵ پسوند فایل : ppt

لینک دانلود رایگان لینک دانلود کمکی

 

در صورتی که محتوای فایل ارائه شده با عنوان مطلب سازگار نبود یا مطلب مذکور خلاف قوانین کشور بود لطفا در بخش دیدگاه (در پایین صفحه) به ما اطلاع دهید. جهت جستجوی پاورپوینت های بیشتر بر روی اینجا کلیک کنید.

این مطلب در تاریخ ۲۰۱۸/۱۱/۰۲ ۰۳:۳۰:۰۵ به صورت خودکار استخراج شده است. در صورت اعلام عدم رضایت تهیه کننده ی آن، طبق قوانین سایت از روی وب گاه حذف خواهد شد. همچنین این مطلب برگرفته از وب سایت زیر است و مسئولیت انتشار آن با منبع اصلی است.

http://www.ibi.vu.nl/teaching/mnw_2year/2007/mnw2yr_lec3_2007.ppt

بخشی از محتوای متن استخراج شده از این فایل ppt

بخشی از محتوای متن استخراج شده از این فایل ppt

introduction to bioinformatics lecture ۳ high throughput biological data data deluge bioinformatics algorithms and evolution last lecture many different genomics datasets genome sequencing more than ۳ species completely sequenced and data in public domain i.e. information is freely available virus genome can be sequenced in a day gene expression microarray data many microarrays measured per day proteomics protein data bank pdb as of tuesday february ۷ ۲ ۶ there are ۳۵ ۲۶ structures. http www.rcsb.org pdb protein protein interaction data many databases worldwide metabolic pathway regulation and signaling data many databases worldwide growth in number of protein tertiary structures the data deluge although a lot of tertiary structural data is being produced preceding slide there is the sequence structure function gap the gap between sequence data on the one hand and structure or function data on the other is widening rapidly sequence data grows much faster high throughput biological data the data deluge hidden in all these data classes is information that reflects existence organization activity functionality …… of biological machineries at different levels in living organisms most effectively utilising and analysing this information computationally is essential for bioinformatics data issues from data to distributed knowledge data collection getting the data data representation data standards data normalisation ….. data organisation and storage database issues ….. data analysis and data mining discovering knowledge patterns signals from data establishing associations among data patterns data utilisation and application from data patterns signals to models for bio machineries data visualization viewing complex data …… data transmission data collection retrieval ….. …… bio data analysis and data mining analysis and mining tools exist and are developed for dna sequence assembly genetic map construction sequence comparison and database searching gene finding gene expression data analysis phylogenetic tree analysis e.g. to infer horizontally transferred genes mass spectrometry data analysis for protein complex characterization …… bio data analysis and data mining as the amount and types of data and their cross connections increase rapidly the number of analysis tools needed will go up exponentially if we do not reuse techniques blast blastp blastx blastn … from blast family of tools we will cover blast later gene finding tools for human mouse fly rice cyanobacteria ….. tools for finding various signals in genomic sequences protein binding sites splice junction sites translation start sites ….. bio data analysis and data mining many of these data analysis problems are fundamentally the same problem s and can be solved using the same set of tools e.g. clustering or optimal segmentation by dynamic programming we will cover both of these techniques in later lectures bio data analysis data mining and integrative bioinformatics to have analysis capabilities covering a wide range of problems we need to discover the common fundamental structures of these problems however in biology one size does not fit all… an important goal of bioinformatics is development of a data analysis infrastructure in support of genomics and beyond protein structure hierarchical levels protein complexes for photosynthesis in plants protein folding problem secondary structure helices strands tertiary structure fold each protein sequence knows how to fold into its tertiary structure. we still do not understand exactly how and why ۱ step process ۲ step process the ۱ step process is based on a hydrophobic collapse the ۲ step process more common in forming larger proteins is called the framework model of folding protein folding step on the way is secondary structure prediction long history first widely used algorithm was by chou and fasman ۱۹۷۴ different algorithms have been developed over the years to crack the problem statistical approaches neural networks first from speech recognition k nearest neighbour algorithms support vector machines algorithms in bioinformatics recap sometimes the same basic algorithm can be re used for different problems ۱ method multiple problem normally biological problems are approached by different researchers using a variety of methods ۱ problem multiple method algorithms in bioinformatics string algorithms dynamic programming machine learning neural netsworks k nearest neighbour support vector machines genetic algorithm .. markov chain models hidden markov models markov chain monte carlo mcmc algorithms molecular mechanics e.g. molecular dynamics monte carlo simplified force fields stochastic context free grammars em algorithms gibbs sampling clustering tree algorithms text analysis hybrid combinatorial techniques and more… sequence analysis and homology searching finding genes and regulatory elements there are many different regulation signals such as start stop and skip messages hidden in the genome for each gene but what and where are they expression data functional genomics monte carlo protein translation what is life nasa astrobiology program life is a self sustained chemical system capable of undergoing darwinian evolution evolution four requirements template structure providing stability dna copying mechanism meiosis mechanism providing variation mutations insertions and deletions crossing over etc. selection some traits lead to greater fitness of one individual relative to another. darwin wrote survival of the fittest evolution is a conservative process the vast majority of mutations will not be selected i.e. will not make it as they lead to worse performance or are even lethal – this is called negative or purifying selection orthology paralogy orthologous genes are homologous corresponding genes in different species paralogous genes are homologous genes within the same species genome changing molecular sequences mutations changing nucleotides ‘letters’ within dna also called ‘point mutations’ a g purines c t u pyrimidines transition purine purine or pyrimidine pyrimidine transversion purine pyrimidine or pyrimidine purine types of point mutation synonymous mutation mutation that does not lead to an amino acid change where in the codon are these expected non synonymous mutation does lead to an amino acid change missense mutation one a.a replaced by other a.a nonsense mutation a.a. replaced by stop codon what happens with protein ka ks ratios ks is defined as the number of synonymous nucleotide substitutions per synonymous site ka is defined as the number of nonsynonymous nucleotide substitutions per nonsynonymous site the ka ks ratio is used to estimate the type of selection exerted on a given gene or dna fragment need aligned orthologous sequences to do calculate ka ks ratios we will …

کلمات کلیدی پرکاربرد در این اسلاید پاورپوینت: حل (analysis), پروتئین (protein), الگوریتم (algorithm), ژن (gene), توالی (sequence), ساختمان (structure), مشکل (problem), جهش (mutation),

این فایل پاورپوینت شامل ۳۹  اسلاید و به زبان انگلیسی و حجم آن ۱٫۱۶ مگا بایت است. نوع قالب فایل ppt بوده که با این لینک قابل دانلود است. این مطلب برگرفته از سایت زیر است و مسئولیت انتشار آن با منبع اصلی می باشد که در تاریخ ۲۰۱۸/۱۱/۰۲ ۰۳:۳۰:۰۵ استخراج شده است.

http://www.ibi.vu.nl/teaching/mnw_2year/2007/mnw2yr_lec3_2007.ppt

  • جهت آموزش های پاورپوینت بر روی اینجا کلیک کنید.
  • جهت دانلود رایگان قالب های حرفه ای پاورپوینت بر روی اینجا کلیک کنید.

پاسخی بگذارید

نشانی ایمیل شما منتشر نخواهد شد. بخش‌های موردنیاز علامت‌گذاری شده‌اند *