aa2rbh | R Documentation |
This function calculates (conditional-)reciprocal best hit
(CRBHit) pairs from two AA AAStringSet
's.
Conditional-reciprocal best hit pairs were introduced by
Aubry S, Kelly S et al. (2014).
Sequence searches are performed with last
Kiełbasa, SM et al. (2011) [default]
or with mmseqs2
Steinegger, M and Soeding, J (2017)
or with diamond
Buchfink, B et al. (2021).
If one specifies aa1 and aa2 as the same input a selfblast is conducted.
aa2rbh(
aa1,
aa2,
searchtool = "last",
lastpath = paste0(find.package("CRBHits"), "/extdata/last-1542/bin/"),
lastD = 1e+06,
mmseqs2path = NULL,
mmseqs2sensitivity = 5.7,
diamondpath = NULL,
diamondsensitivity = "--sensitive",
diamondmaxtargetseqs = "-k0",
outpath = "/tmp",
crbh = TRUE,
keepSingleDirection = FALSE,
eval = 0.001,
qcov = 0,
tcov = 0,
pident = 0,
alnlen = 0,
rost1999 = FALSE,
filter = NULL,
plotCurve = FALSE,
fit.type = "mean",
fit.varweight = 0.1,
fit.min = 5,
threads = 1,
remove = TRUE
)
aa1 |
aa1 sequences as |
aa2 |
aa2 sequences as |
searchtool |
specify sequence search algorithm last, mmseqs2 or diamond [default: last] |
lastpath |
specify the PATH to the last binaries [default: /extdata/last-1542/bin/] |
lastD |
last option D: query letters per random alignment [default: 1e6] |
mmseqs2path |
specify the PATH to the mmseqs2 binaries [default: NULL] |
mmseqs2sensitivity |
specify the sensitivity option of mmseqs2 [default: 5.7] |
diamondpath |
specify the PATH to the diamond binaries [default: NULL] |
diamondsensitivity |
specify the sensitivity option of diamond [default: –sensitive] |
diamondmaxtargetseqs |
specify the maximum number of target sequences per query option of diamond [default: -k0] |
outpath |
specify the output PATH [default: /tmp] |
crbh |
specify if conditional-reciprocal hit pairs should be retained as secondary hits [default: TRUE] |
keepSingleDirection |
specify if single direction secondary hit pairs should be retained [default: FALSE] |
eval |
evalue [default: 1e-3] |
qcov |
query coverage [default: 0.0] |
tcov |
target coverage [default: 0.0] |
pident |
percent identity [default: 0.0] |
alnlen |
alignment length [default: 0.0] |
rost1999 |
specify if hit pairs should be filter by equation 2 of Rost 1999 [default: FALSE] |
filter |
specify additional custom filters as list to be applied on hit pairs [default: NULL] |
plotCurve |
specify if crbh fitting curve should be plotted [default: FALSE] |
fit.type |
specify if mean or median should be used for fitting [default: mean] |
fit.varweight |
factor for fitting function to consider neighborhood [default: 0.1] |
fit.min |
specify minimum neighborhood alignment length [default: 5] |
threads |
number of parallel threads [default: 1] |
remove |
specify if last result files should be removed [default: TRUE] |
List of three (crbh=FALSE)
1: $crbh.pairs
2: $crbh1 matrix; query > target
3: $crbh2 matrix; target > query
List of four (crbh=TRUE)
1: $crbh.pairs
2: $crbh1 matrix; query > target
3: $crbh2 matrix; target > query
4: $rbh1_rbh2_fit; evalue fitting function
Kristian K Ullrich
Aubry S, Kelly S et al. (2014) Deep Evolutionary Comparison of Gene Expression Identifies Parallel Recruitment of Trans-Factors in Two Independent Origins of C4 Photosynthesis. PLOS Genetics, 10(6) e1004365.
Kiełbasa, SM et al. (2011) Adaptive seeds tame genomic sequence comparison. Genome research, 21(3), 487-493.
Rost B. (1999). Twilight zone of protein sequence alignments. Protein Engineering, 12(2), 85-94.
cds2rbh
## compile last-1542 within CRBHits
CRBHits::make_last()
## load example sequence data
data("ath", package="CRBHits")
data("aly", package="CRBHits")
ath.aa <- MSA2dist::cds2aa(ath)
aly.aa <- MSA2dist::cds2aa(aly)
## get CRBHit pairs
ath_aly_crbh <- aa2rbh(
aa1=ath.aa,
aa2=aly.aa,
plotCurve=TRUE)
dim(ath_aly_crbh$crbh.pairs)
## get classical reciprocal best hit (RBHit) pairs
ath_aly_rbh <- aa2rbh(
aa1=ath.aa,
aa2=aly.aa,
crbh=FALSE)
dim(ath_aly_rbh$crbh.pairs)
## selfblast
ath_selfblast_crbh <- aa2rbh(
aa1=ath.aa,
aa2=ath.aa,
plotCurve=TRUE)
## see ?cds2rbh for more examples
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.