Mercurial > repos > mkhan1980 > ctcf_analysis
comparison check2.xml @ 3:5f235b95619f draft
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author | mkhan1980 |
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date | Mon, 04 Mar 2013 06:38:53 -0500 |
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2:2cceb9398d33 | 3:5f235b95619f |
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1 <tool id="fa_gc_content_2" name="Discover CTCF Sites for Reverse Strand"> | |
2 <description></description> | |
3 <command interpreter="perl">check2.pl $input $input2 $output</command> | |
4 <inputs> | |
5 <param format="fasta" name="input" type="data" label="Reverse Strand Sequence File"/> | |
6 <param format="fasta" name="input2" type="data" label="Reverse Strand Coordinate file"/> | |
7 </inputs> | |
8 | |
9 | |
10 <outputs> | |
11 <data format="tabular" name="output" /> | |
12 </outputs> | |
13 | |
14 <tests> | |
15 <test> | |
16 <param name="input" value="fa_gc_content_input3.fa"/> | |
17 <param name="input2" value="fa_gc_content_input4.fa"/> | |
18 <output name="out_file1" file="concatenated.txt"/> | |
19 </test> | |
20 </tests> | |
21 | |
22 <help> | |
23 Background: | |
24 This tool computationally predicts CTCF sites for a nucleotide sequence located on the reverse strand. The user is required to provide two files as inputs. The first is the nucleotide sequence of interest on the - strand in FASTA format (this can be obtained from UCSC genome browser or Ensembl). The second file must be a FASTA formatted file containing the chromosome number and the genomic position of the last nucleotide sequence (separated by a tab). For example, if the sequence of interest is located on chromosome 3 with an ending genomic position of 1870000, the first line of the second input file must start with a fasta tag, and the second line will be chr3 1870000 | |
25 | |
26 Details of Algorithm: | |
27 CTCF sites are predicted by applying the following equation | |
28 w( ,j) = log2 (((f( ,j) + sqrt(N) x b( )) / (N + sqrt(N))) / b( )) | |
29 | |
30 Where w( ,j) is the weight of nucleotide at position j, N is the total number of binding sites or the sum of all nucleotide occurrences in the column, and b is the prior background frequency of the nucleotide . | |
31 | |
32 The sum of weights for corresponding nucleotides at each column of the matrix then estimates the likelihood of any sequence of length m to be an instance of a CTCF binding site and takes into account the GC content of the genomic region being scanned. | |
33 | |
34 | |
35 Citation and further help: For further details of the algorithm, please refer to | |
36 | |
37 Khan MA, Soto-Jimenez LM, Howe T, Streit A, Sosinsky A, Stern CD (2013). Computational tools and resources for prediction and analysis of gene regulatory regions in the chick genome.. Genesis, , - . doi:10.1002/dvg.22375 | |
38 | |
39 | |
40 For queries/questions, email ucbtmaf@ucl.ac.uk | |
41 </help> | |
42 | |
43 </tool> |