Nothing
SubVis"
In SubVis: Visual Exploration of Protein Alignments Resulting from Multiple Substitution Matrices
About:
SubVis version 2.0.2
Scott Barlowe, Heather Coan, and Robert Youker
Western Carolina University
Uses: R (>= 3.3.0), JavaScript
Licensing: GNU General Purpose License
Description:
Software tool for visual analysis of substitution matrix
effects on pairwise protein sequence alignment. Utilizes
Shiny for interface components, R for alignment processing,
and JavaScript for visualization.
Other Project Pages:
1. https://github.com/sabarlowe/SubVis
Known Issues:
None
Included Data:
Location: (extdata/Example_custom_matrix and
extdata/Example_FASTA_files)
1. Four protein sequences in FASTA format
(gpr12.fasta, gpr6.fasta)
(Human.fasta, Xenla.fasta)
(fNucl.fasta, pFalc.fasta)
2. A custom matrix developed by Rios et al. (gpcrtm.txt)
A scaled and scaled adjusted matrix reported by
Yu and Altschul (scaled_BLSM.txt, scaled_adj_BLSM.txt)
The DISORDER matrix proposed by Radivojac et al.
(disorder_mat.txt)
3. BLOSUM62 matrix used for varying penalties (BLS.txt)
4. Three custom master files (masterFile_gpcrtm.txt,
masterFile_scaled_adj_bls.txt, and masterFile_disorder.txt)
listing the file names of custom matrices and their associated
gap and extension costs
Getting Started:
(Requires availability of a web browser):
1. Install R version >= 3.3.0
2. Install required R packages (and any dependencies):
'shiny'
'Biostrings'
3. Install and load SubVis package
4. Launch SubVis at the RStudio prompt with
'> SubVis::startSubVis()'
NOTE: ENTERING SEQUENCE TEXT (INSTEAD OF FILE UPLOAD)
AND USING CUSTOM MATRICES REQUIRES READ/WRITE
PERMISSIONS IN THE SUBVIS INSTALLATION DIRECTORY
Main Tabs: Options, VIZ, and Help
After launching, there are three tabs: Options, VIZ, and
Help
Options Tab: Loading Data, Matrices, and Parameters
The Options tab includes the following features/requirements:
1. Protein sequences (one per file) must be in FASTA
format. There are three sets of example FASTA files
in the extdata/Example_FASTA_files folder.
2. Sequences can be loaded by either entering the text
(including by copy/paste) or by file selection.
In the case of text entry, text files with the FASTA
sequences are created in the extdata/Example_FASTA_files
directory located in the SubVis installation directory.
These files can be saved for future use.
NOTE: ENTERING SEQUENCE TEXT (INSTEAD OF FILE UPLOAD)
REQUIRES READ/WRITE PERMISSIONS IN THE SUBVIS
INSTALLATION DIRECTORY
3. An error message will be generated if
a. Either textbox or file selection is empty
b. Spaces (other than newlines) are in the sequences
c. The header and sequences of both are identical
d. The sequences are identical
4. BLOSUM and PAM matrices can be selected by checking
the appropriate box. Gaps and extension costs can be
changed with the associated text boxes.
An error message will be generated if
a. The gap entry is empty or is not a number
b. The extension entry is empty or is not a number
5. Multiple custom matrices in the form of the
predefined matrices can be loaded from
text files. The basic form is
First row --> Characters representing lookup
table
First col --> Transpose of first row starting
at the second row
A B C D E F . . .
A
B
C
D
E
F
...
All other entries (intersection of amino acids)
are substitution values
Custom matrices are loaded by selecting a master file.
This file lists the filenames of the custom matrices.
Both files should be located in the
extdata/Example_custom_matrix folder located in the
SubVis installation directory. The format is:
custom_matrix_name0 gap_cost0 extension_cost0
custom_matrix_name1 gap_cost1 extension_cost1
custom_matrix_name2 gap_cost2 extension_cost2
...and so on...
Spaces separate the custom matrix name, gap cost, and
extension cost for each matrix.
EACH LINE MUST END WITH A NEWLINE CHARACTER TO AVOID
ERRORS/WARNINGS. THIS INCLUDES THE LAST LINE LISTING
A CUSTOM MATRIX. THERE MUST BE A SINGLE BLANK LINE
AFTER THE LAST ENTRY.
In the display, the custom matrix is labeled "CM"
followed by the number associated with its place in
the order matrices are listed in the custom matrix
master file (for example, CM0, CM1, etc.).
An error message will be generated if
a. The custom matrix radio button is set to "ON" and the
file selection is empty
b. The format of the custom matrix is not acceptable
NOTE: USING CUSTOM MATRICES REQUIRES READ/WRITE
PERMISSIONS IN THE SUBVIS INSTALLATION DIRECTORY
6. The score type can be selected with the drop-down menu
7. After all parameters are entered, clicking the "GO" button
located under the "PERFORM ALIGNMENT" label will change
the view to the Overview visualization
Note: Each time a change in the Options tab is made,
the "GO" button must be clicked
VIZ Tab: Overview, Detail View, and Search View
There are three options that can be selected with a drop-down
menu: Overview, Detail view, and Search view
Overview:
Each row (except the last) represents a percent identity
type. Within each row, the PID for the selected matrices
are sorted. The last row is the sorted overall score.
PID types include the following variances in denominator
calculations as investigated by May and by Raghava
and Barton:
PID 1 - Denominator should be defined as aligned positions
plus internal gap positions.
PID 2 - Denominator should be defined as aligned positions.
PID 3 - Denominator should be defined as the length of the shorter
sequence.
PID 4 - Denominator should be defined as the average of the two
sequences.
All PID colors are normalized together. The score colors
are normalized separate from the PIDs. A legend in the
bottom left shows the color scheme along with the minimum
and maximum values for the PID and score.
Interaction: Mouse move
1. When the mouse moves over a matrix type, the
corresponding matrix in the other rows are identified.
At the same time, detail information for the selected
matrix (matrix type, percent identity, and score) are
shown in the bottom right. When the mouse moves over
the overall score, PID 4 for the selected matrix is
shown.
Interaction: Size
1. '+' enlarges the displayed items and '-' shrinks the
displayed items
Detail View:
The overall score is located under the matrix type for each
alignment pair along the left side. Amino acids are represented
by a color-coded box.
Interaction: Size
1. '+' enlarges the displayed items
2. '-' shrinks the displayed items
Interaction: Mouse over an amino acid
1. A histogram displays the number of each amino acid in that
column
2. The log-odds score (or any substitution value entered
into a custom matrix) and the amino acid substitution
are displayed under the score for each alignment
3. The amino acid, log-odds score (or any substitution value
entered into a custom matrix), and the amino acid
substitution are shown in the top right
4. The gap and extension costs for the selected amino acid
(under the mouse) are shown in the top left
Interaction: Classification
1. Amino acids can be classified according to [1] and whether
an amino acid substitution is conserved (log-odds > 0)
or not (log-odds < 0)
Interaction: Amino Acid Representation
1. 'Alpha On/Off' - Shows amino acid abbreviation instead of boxes
Interaction: Navigation
1. 'S' - Go to position 1
2. 'E' - Go to the end of the alignment with the maximum
length
3. 'U' - Scroll up if all matrix types will not fit onto
display space
4. 'D' - Scroll down if all matrix types will not fit
onto display space
5. '<' - Go backward in the alignment
6. '>' - Go forward in the alignment
7. 'Pair' - Show both the pattern and subject for each matrix
type
8. 'Patt' - Show only the pattern for each matrix type
9. 'Subj' - Show only the subject for each matrix type
Search View:
Interaction: POS (Requires clicking 'GO')
1. Go to a position by entering the column number in text
box (Requires clicking 'Go')
Interaction: Search (All require clicking 'Go')
1. 'NONE' - No search function on (default)
2. 'INDEL' - Shows the insertions and deletions in red
3. 'MATCH' - Shows the positions that match in both the
pattern and subject
4. 'SEQ' - The amino acid to be searched for
Error Messages:
Error messages are generated in the following scenarios
in the top left of the VIZ tab
1. 'ERROR: No Sequence Text':
Generated if either sequence text box is empty
2. 'ERROR: No Sequence File':
Generated if either sequence file selection is
empty
3. 'ERROR: Identical Pattern and Subject':
Generated if the two sequence inputs (header
information and sequences) are identical
4. 'ERROR: Identical Sequences':
Generated if the two sequence inputs (sequences
only) are the same
5. 'ERROR: Non-Custom Gap':
Bad gap value for the BLOSUM/PAM matrices
provided (empty value or not a number)
6. 'ERROR: Non-Custom Ext':
Bad extension value for the BLOSUM/PAM matrices
provided (empty value or not a number)
7. 'ERROR: Bad Sequence or Matrix':
Error in Biostring's pairwiseAlignment function.
Could indicate, among other possibilities, a
poorly constructed sequence not indicated by
another error message or a poorly constructed
custom matrix/custom matrix master file.
8. 'ERROR: No Custom Matrix Selected':
Custom matrix turned on without selecting a custom
matrix master file
9. 'ERROR: Custom Gap':
Bad gap cost for the custom matrix read from the
custom matrix file (not a number)
10. 'ERROR: Custom Ext':
Bad extension cost for the custom matrix read from the
custom matrix file (not a number)
Notes:
1. Log-odds score (or any substitution value entered
into a custom matrix) for pairs involving a gap are
reported as undefined
References:
1. Pages, H., Aboyoun, P., Gentleman, R., DebRoy, S.:
Biostrings: String Objects Representing Biological
Sequences, and Matching Algorithms. R package version
2.32.0
2. Pearson, W.R., Lipman, D.J.: Improved tools for
biological sequence comparison. Proc. Natl. Acad. Sci.
USA 85(8), 2444{2448 (1988)
3. Pommie, C., Levadoux, S., Sabatier, R., Lefranc, G.,
Lefranc, M.: Imgt standardized criteria for statistical
analysis of immunoglobulin v-region amino acid
properties. Journal of Molecular Recognition 17(1),
(2004)
4. R Core Team: R: A Language and Environment for
Statistical Computing. R Foundation for Statistical
Computing, Vienna, Austria (2013). R Foundation for
Statistical Computing. http://www.R-project.org/
5. RStudio, Inc.: Shiny: Web Application Framework for R.
(2014). R package version 0.10.1.
http://CRAN.R-project.org/package=shiny
6. Rios, S., Fernandez, M.F., Caltabiano, G., Campillo,
M., Pardo, L., Gonzalez, A.: Gpcrtm: An amino acid
substitution matrix for the transmembrane region of
class a g protein-coupled receptors. BMC Bioinformatics
16(206). (2015)
7. Yu, Y., Altschul, S.F.: The construction of amino
acid substitution matrices for the comparison of proteins
with non-standard compositions. Bioinformatics 21(7):
902-911. (2004)
8. Radivojac, P., Obradovic, Z., Brown, C.J., Dunker, A.K.:
Improving sequence alignments for intrinsically disordered
proteins. Pacific Symposium on Biocomputing 7:589-600.
(2002)
9. May, A.: Percent sequence identity; the need to be explicit.
Structure, 12(17). (2004)
10. Raghava, G. and Barton, G.: Quantification of the variation in
percentage identity for protein sequence alignments. BMC
Bioinformatics, 7(415). (2006)
Try the SubVis package in your browser
Any scripts or data that you put into this service are public.
SubVis documentation built on May 2, 2019, 9:31 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
About:
SubVis version 2.0.2 Scott Barlowe, Heather Coan, and Robert Youker Western Carolina University Uses: R (>= 3.3.0), JavaScript Licensing: GNU General Purpose License
Description:
Software tool for visual analysis of substitution matrix effects on pairwise protein sequence alignment. Utilizes Shiny for interface components, R for alignment processing, and JavaScript for visualization.
Other Project Pages:
1. https://github.com/sabarlowe/SubVis
Known Issues:
None
Included Data:
Location: (extdata/Example_custom_matrix and
extdata/Example_FASTA_files)
1. Four protein sequences in FASTA format
(gpr12.fasta, gpr6.fasta)
(Human.fasta, Xenla.fasta)
(fNucl.fasta, pFalc.fasta)
2. A custom matrix developed by Rios et al. (gpcrtm.txt)
A scaled and scaled adjusted matrix reported by
Yu and Altschul (scaled_BLSM.txt, scaled_adj_BLSM.txt)
The DISORDER matrix proposed by Radivojac et al.
(disorder_mat.txt)
3. BLOSUM62 matrix used for varying penalties (BLS.txt)
4. Three custom master files (masterFile_gpcrtm.txt,
masterFile_scaled_adj_bls.txt, and masterFile_disorder.txt)
listing the file names of custom matrices and their associated
gap and extension costs
Getting Started:
(Requires availability of a web browser):
1. Install R version >= 3.3.0
2. Install required R packages (and any dependencies):
'shiny'
'Biostrings'
3. Install and load SubVis package
4. Launch SubVis at the RStudio prompt with
'> SubVis::startSubVis()'
NOTE: ENTERING SEQUENCE TEXT (INSTEAD OF FILE UPLOAD)
AND USING CUSTOM MATRICES REQUIRES READ/WRITE
PERMISSIONS IN THE SUBVIS INSTALLATION DIRECTORY
Main Tabs: Options, VIZ, and Help
After launching, there are three tabs: Options, VIZ, and
Help
Options Tab: Loading Data, Matrices, and Parameters
The Options tab includes the following features/requirements:
1. Protein sequences (one per file) must be in FASTA
format. There are three sets of example FASTA files
in the extdata/Example_FASTA_files folder.
2. Sequences can be loaded by either entering the text
(including by copy/paste) or by file selection.
In the case of text entry, text files with the FASTA
sequences are created in the extdata/Example_FASTA_files
directory located in the SubVis installation directory.
These files can be saved for future use.
NOTE: ENTERING SEQUENCE TEXT (INSTEAD OF FILE UPLOAD)
REQUIRES READ/WRITE PERMISSIONS IN THE SUBVIS
INSTALLATION DIRECTORY
3. An error message will be generated if
a. Either textbox or file selection is empty
b. Spaces (other than newlines) are in the sequences
c. The header and sequences of both are identical
d. The sequences are identical
4. BLOSUM and PAM matrices can be selected by checking
the appropriate box. Gaps and extension costs can be
changed with the associated text boxes.
An error message will be generated if
a. The gap entry is empty or is not a number
b. The extension entry is empty or is not a number
5. Multiple custom matrices in the form of the
predefined matrices can be loaded from
text files. The basic form is
First row --> Characters representing lookup
table
First col --> Transpose of first row starting
at the second row
A B C D E F . . .
A
B
C
D
E
F
...
All other entries (intersection of amino acids)
are substitution values
Custom matrices are loaded by selecting a master file.
This file lists the filenames of the custom matrices.
Both files should be located in the
extdata/Example_custom_matrix folder located in the
SubVis installation directory. The format is:
custom_matrix_name0 gap_cost0 extension_cost0
custom_matrix_name1 gap_cost1 extension_cost1
custom_matrix_name2 gap_cost2 extension_cost2
...and so on...
Spaces separate the custom matrix name, gap cost, and
extension cost for each matrix.
EACH LINE MUST END WITH A NEWLINE CHARACTER TO AVOID
ERRORS/WARNINGS. THIS INCLUDES THE LAST LINE LISTING
A CUSTOM MATRIX. THERE MUST BE A SINGLE BLANK LINE
AFTER THE LAST ENTRY.
In the display, the custom matrix is labeled "CM"
followed by the number associated with its place in
the order matrices are listed in the custom matrix
master file (for example, CM0, CM1, etc.).
An error message will be generated if
a. The custom matrix radio button is set to "ON" and the
file selection is empty
b. The format of the custom matrix is not acceptable
NOTE: USING CUSTOM MATRICES REQUIRES READ/WRITE
PERMISSIONS IN THE SUBVIS INSTALLATION DIRECTORY
6. The score type can be selected with the drop-down menu
7. After all parameters are entered, clicking the "GO" button
located under the "PERFORM ALIGNMENT" label will change
the view to the Overview visualization
Note: Each time a change in the Options tab is made,
the "GO" button must be clicked
VIZ Tab: Overview, Detail View, and Search View
There are three options that can be selected with a drop-down
menu: Overview, Detail view, and Search view
Overview:
Each row (except the last) represents a percent identity
type. Within each row, the PID for the selected matrices
are sorted. The last row is the sorted overall score.
PID types include the following variances in denominator
calculations as investigated by May and by Raghava
and Barton:
PID 1 - Denominator should be defined as aligned positions
plus internal gap positions.
PID 2 - Denominator should be defined as aligned positions.
PID 3 - Denominator should be defined as the length of the shorter
sequence.
PID 4 - Denominator should be defined as the average of the two
sequences.
All PID colors are normalized together. The score colors
are normalized separate from the PIDs. A legend in the
bottom left shows the color scheme along with the minimum
and maximum values for the PID and score.
Interaction: Mouse move
1. When the mouse moves over a matrix type, the
corresponding matrix in the other rows are identified.
At the same time, detail information for the selected
matrix (matrix type, percent identity, and score) are
shown in the bottom right. When the mouse moves over
the overall score, PID 4 for the selected matrix is
shown.
Interaction: Size
1. '+' enlarges the displayed items and '-' shrinks the
displayed items
Detail View:
The overall score is located under the matrix type for each
alignment pair along the left side. Amino acids are represented
by a color-coded box.
Interaction: Size
1. '+' enlarges the displayed items
2. '-' shrinks the displayed items
Interaction: Mouse over an amino acid
1. A histogram displays the number of each amino acid in that
column
2. The log-odds score (or any substitution value entered
into a custom matrix) and the amino acid substitution
are displayed under the score for each alignment
3. The amino acid, log-odds score (or any substitution value
entered into a custom matrix), and the amino acid
substitution are shown in the top right
4. The gap and extension costs for the selected amino acid
(under the mouse) are shown in the top left
Interaction: Classification
1. Amino acids can be classified according to [1] and whether
an amino acid substitution is conserved (log-odds > 0)
or not (log-odds < 0)
Interaction: Amino Acid Representation
1. 'Alpha On/Off' - Shows amino acid abbreviation instead of boxes
Interaction: Navigation
1. 'S' - Go to position 1
2. 'E' - Go to the end of the alignment with the maximum
length
3. 'U' - Scroll up if all matrix types will not fit onto
display space
4. 'D' - Scroll down if all matrix types will not fit
onto display space
5. '<' - Go backward in the alignment
6. '>' - Go forward in the alignment
7. 'Pair' - Show both the pattern and subject for each matrix
type
8. 'Patt' - Show only the pattern for each matrix type
9. 'Subj' - Show only the subject for each matrix type
Search View:
Interaction: POS (Requires clicking 'GO')
1. Go to a position by entering the column number in text
box (Requires clicking 'Go')
Interaction: Search (All require clicking 'Go')
1. 'NONE' - No search function on (default)
2. 'INDEL' - Shows the insertions and deletions in red
3. 'MATCH' - Shows the positions that match in both the
pattern and subject
4. 'SEQ' - The amino acid to be searched for
Error Messages:
Error messages are generated in the following scenarios
in the top left of the VIZ tab
1. 'ERROR: No Sequence Text':
Generated if either sequence text box is empty
2. 'ERROR: No Sequence File':
Generated if either sequence file selection is
empty
3. 'ERROR: Identical Pattern and Subject':
Generated if the two sequence inputs (header
information and sequences) are identical
4. 'ERROR: Identical Sequences':
Generated if the two sequence inputs (sequences
only) are the same
5. 'ERROR: Non-Custom Gap':
Bad gap value for the BLOSUM/PAM matrices
provided (empty value or not a number)
6. 'ERROR: Non-Custom Ext':
Bad extension value for the BLOSUM/PAM matrices
provided (empty value or not a number)
7. 'ERROR: Bad Sequence or Matrix':
Error in Biostring's pairwiseAlignment function.
Could indicate, among other possibilities, a
poorly constructed sequence not indicated by
another error message or a poorly constructed
custom matrix/custom matrix master file.
8. 'ERROR: No Custom Matrix Selected':
Custom matrix turned on without selecting a custom
matrix master file
9. 'ERROR: Custom Gap':
Bad gap cost for the custom matrix read from the
custom matrix file (not a number)
10. 'ERROR: Custom Ext':
Bad extension cost for the custom matrix read from the
custom matrix file (not a number)
Notes:
1. Log-odds score (or any substitution value entered
into a custom matrix) for pairs involving a gap are
reported as undefined
References:
1. Pages, H., Aboyoun, P., Gentleman, R., DebRoy, S.:
Biostrings: String Objects Representing Biological
Sequences, and Matching Algorithms. R package version
2.32.0
2. Pearson, W.R., Lipman, D.J.: Improved tools for
biological sequence comparison. Proc. Natl. Acad. Sci.
USA 85(8), 2444{2448 (1988)
3. Pommie, C., Levadoux, S., Sabatier, R., Lefranc, G.,
Lefranc, M.: Imgt standardized criteria for statistical
analysis of immunoglobulin v-region amino acid
properties. Journal of Molecular Recognition 17(1),
(2004)
4. R Core Team: R: A Language and Environment for
Statistical Computing. R Foundation for Statistical
Computing, Vienna, Austria (2013). R Foundation for
Statistical Computing. http://www.R-project.org/
5. RStudio, Inc.: Shiny: Web Application Framework for R.
(2014). R package version 0.10.1.
http://CRAN.R-project.org/package=shiny
6. Rios, S., Fernandez, M.F., Caltabiano, G., Campillo,
M., Pardo, L., Gonzalez, A.: Gpcrtm: An amino acid
substitution matrix for the transmembrane region of
class a g protein-coupled receptors. BMC Bioinformatics
16(206). (2015)
7. Yu, Y., Altschul, S.F.: The construction of amino
acid substitution matrices for the comparison of proteins
with non-standard compositions. Bioinformatics 21(7):
902-911. (2004)
8. Radivojac, P., Obradovic, Z., Brown, C.J., Dunker, A.K.:
Improving sequence alignments for intrinsically disordered
proteins. Pacific Symposium on Biocomputing 7:589-600.
(2002)
9. May, A.: Percent sequence identity; the need to be explicit.
Structure, 12(17). (2004)
10. Raghava, G. and Barton, G.: Quantification of the variation in
percentage identity for protein sequence alignments. BMC
Bioinformatics, 7(415). (2006)
Try the SubVis package in your browser
Any scripts or data that you put into this service are public.
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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