From 1ebbd8278b8ab925ab4dc8ccd5bbd8bf47ae998a Mon Sep 17 00:00:00 2001 From: Hasindu Gamaarachchi Date: Thu, 16 Sep 2021 17:28:26 +1000 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index de13050b..e33daf6e 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ *slow5lib* is a software library for reading & writing SLOW5 files. *slow5lib* is designed to facilitate use of data in SLOW5 format by third-party software packages. Existing packages that read/write data in FAST5 format can be easily modified to support SLOW5. **About SLOW5 format:** -SLOW5 is a new file format for storing signal data from Oxford Nanopore Technologies (ONT) devices. SLOW5 was developed to overcome inherent limitations in the standard FAST5 signal data format that prevent efficient, scalable analysis and cause many headaches for developers. SLOW5 can be encoded in human-readable ASCII format, or a more compact and efficient binary format (BLOW5) - this is analogous to the seminal SAM/BAM format for storing DNA sequence alignments. The BLOW5 binary format supports *zlib* (DEFLATE) compression, or other compression methods, thereby minimising the data storage footprint while still permitting efficient parallel access. Detailed benchmarking experiments have shown that SLOW5 format is an order of magnitude faster and significantly smaller than FAST5. +SLOW5 is a new file format for storing signal data from Oxford Nanopore Technologies (ONT) devices. SLOW5 was developed to overcome inherent limitations in the standard FAST5 signal data format that prevent efficient, scalable analysis and cause many headaches for developers. SLOW5 can be encoded in human-readable ASCII format, or a more compact and efficient binary format (BLOW5) - this is analogous to the seminal SAM/BAM format for storing DNA sequence alignments. The BLOW5 binary format supports *zlib* (DEFLATE) compression, or other compression methods (see [notes](https://github.com/hasindu2008/slow5lib#notes)), thereby minimising the data storage footprint while still permitting efficient parallel access. Detailed benchmarking experiments have shown that SLOW5 format is an order of magnitude faster and significantly smaller than FAST5. Full documentation: https://hasindu2008.github.io/slow5lib