Cs 262: Computational Genomics Professor Serafim Batzoglou Lecture 8: Pair Hmms and Protein Alignment Finite State Automaton for Alignment

نویسندگان

  • Serafim Batzoglou
  • Ben Handy
چکیده

We have labeled every transition in the model with a score. Transitions to state M indicate letter-to-letter correspondences, so they are labeled with s(xi, yj) corresponding to the substitution score for replacing xi with yj. We know which i and j to use, based on the current sum of +1’s for x and y thus far. We label every transition from M to a gap state (I or J) with the gap initiation penalty -d, and we label each transition from a gap state to itself with the gap extension penalty –e.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sequence Alignment Continued 1 Previous Lecture Review

The technique of affine gaps allows calculations to perform alignment scoring without a strict linear score or gaps. Finding the best scoring alignment with this technique requires multiple arrays to be kept because the maximum score at any midpoint is not purely deterministic on the predecessors (which would require only one array) rather, multiple possible scores must be kept for each locatio...

متن کامل

The many faces of sequence alignment

Starting with the sequencing of the mouse genome in 2002, we have entered a period where the main focus of genomics will be to compare multiple genomes in order to learn about human biology and evolution at the DNA level. Alignment methods are the main computational component of this endeavour. This short review aims to summarise the current status of research in alignments, emphasising large-s...

متن کامل

Multiple sequence alignment.

Multiple sequence alignments are an essential tool for protein structure and function prediction, phylogeny inference and other common tasks in sequence analysis. Recently developed systems have advanced the state of the art with respect to accuracy, ability to scale to thousands of proteins and flexibility in comparing proteins that do not share the same domain architecture. New multiple align...

متن کامل

ProbCons: Probabilistic consistency-based multiple sequence alignment.

To study gene evolution across a wide range of organisms, biologists need accurate tools for multiple sequence alignment of protein families. Obtaining accurate alignments, however, is a difficult computational problem because of not only the high computational cost but also the lack of proper objective functions for measuring alignment quality. In this paper, we introduce probabilistic consist...

متن کامل

Scribe: Vignesh Ganapathy 1/26/2006 -1 - Cs262 Computational Genomics Lecture 6: Hidden Markov Models (contd.) Professor Serafim Batzoglou Geometric Distribution of State Duration

Topics covered in this lecture are: 1 Review of algorithms for decoding and evaluation problems of HMM 2 A Biological example where HMM is applicable(CpG Islands) 3 The " LEARNING " problem in HMM 4 Variants of HMM 1. Review of Algorithms for decoding and evaluation problems of HMM In the last lecture we discussed what a Hidden Markov Model (HMM) is and what are the kind of problems that one mi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006