Major update! New embeddings and faster!

Updates

• Supports all read input types FASTA, FASTQ, GZIPPED, etc using klib/kseq.h
• Supports TSNE, UMAP and SONG embeddings for faster clustering
• Script to separate reads to bins available.
  Bug fixes
• Fixed not creation of sub folders when restarted
• Improved resume capability

MetaBCC-LR v-1.0.0

This is the first official release of the program

• Please raise issues at anuradha.wickramarachchi@anu.edu.au OR in the Issues section

Resume capabilities

Resume Capabilities

Previously users had to re-run the tool from the beginning if they had to change sampled count or the sensitivity. I consumes a significant time thus it is cumbersome. With the latest update resuming can be done with a different number of sampled reads. This makes the analysis much easier.

Other improvements

• Sensitivity figure is now labelled from 1 - 10 as 1 being the lowest and 10 being the highest. Previously it was the other way around. Now it is straight forward.
• No bins will be discarded no matter how small they are. This enables the recovery of smaller bins for downstream analysis.

Please note that this is a pre-release. Thank you!

Suggestions and bug reports are welcome. Cheers!

MetaBCC-LR-v-0.1

Preliminary release