berkeley-express(1)
Streaming quantification for high-throughput sequencing
DESCRIPTION
File Usage: express [options] <target_seqs.fa> <hits.(sam/bam)>
Piped Usage: bowtie [options] -S <index> <reads.fq> | express [options] <target_seqs.fa>
Required arguments:
- <target_seqs.fa>
-
target sequence file in fasta format
- <hits.(sam/bam)>
-
read alignment file in SAM or BAM format
Standard Options:
- -h [ --help ]
-
produce help message
- -o [ --output-dir ] arg (=.)
-
write all output files to this directory
- -D [ --preprocess ]
-
run preprocess script for eXpressD
- -m [ --frag-len-mean ] arg (=200)
-
prior estimate for average fragment
length
- -s [ --frag-len-stddev ] arg (=80)
-
prior estimate for fragment length std
deviation
- -H [ --haplotype-file ] arg
-
path to a file containing haplotype pairs
- -B [ --additional-batch ] arg (=0)
-
number of additional batch EM rounds
after initial online round
- -O [ --additional-online ] arg (=0) number of additional online EM rounds
-
after initial online round
- -L [ --max-read-len ] arg (=250)
-
maximum allowed length of a read
- --output-align-prob
-
output alignments (sam/bam) with
probabilistic assignments
- --output-align-samp
-
output alignments (sam/bam) with sampled
assignments
- --fr-stranded
-
accept only forward->reverse alignments
(second-stranded protocols)
- --rf-stranded
-
accept only reverse->forward alignments
(first-stranded protocols)
- --f-stranded
-
accept only forward single-end alignments
(second-stranded protocols)
- --r-stranded
-
accept only reverse single-end alignments
(first-stranded protocols)
- --no-update-check
-
disables automatic check for update via
web
- --logtostderr
-
prints all logging messages to stderr
Advanced Options:
- -f [ --forget-param ] arg (=0.84999999999999998)
-
sets the 'forgetting factor' parameter
(0.5 < c <= 1)
- --library-size arg
-
specifies library size for FPKM instead
of calculating from alignments
- --max-indel-size arg (=10)
-
sets the maximum allowed indel size,
affecting geometric indel prior
- --calc-covar
-
calculate and output covariance matrix
- --expr-alpha arg (=0.0050000000000000001)
-
sets the strength of the prior, per bp
- --stop-at arg (=0)
-
sets the number of fragments to
process, disabled with 0
- --burn-out arg (=5000000)
-
sets number of fragments after which to
stop updating auxiliary parameters
- --no-bias-correct
-
disables bias correction
- --no-error-model
-
disables error modelling
- --aux-param-file arg
-
path to file containing auxiliary
parameters to use instead of learning