Pipeline release! nf-core/sarek v3.8.1 - 3.8.1 - Laitaure!
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
Please see the changelog: https://github.com/nf-core/sarek/releases/tag/3.8.1
#annotation #cancer #gatk4 #genomics #germline #preprocessing #somatic #targetpanels #variantcalling #wholeexomesequencing #wholegenomesequencing #nfcore #openscience #nextflow #bioinformatics
Pipeline release! nf-core/sarek v3.8.0 - 3.8.0 - Sitojaure!
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
Please see the changelog: https://github.com/nf-core/sarek/releases/tag/3.8.0
#annotation #cancer #gatk4 #genomics #germline #preprocessing #somatic #targetpanels #variantcalling #wholeexomesequencing #wholegenomesequencing #nfcore #openscience #nextflow #bioinformatics
Cooked up an another neat feature in 0.0.8 version of iScribby. You can now copy and paste images in using the marquee tool.
https://iscribby.com/changelog
#dotnet #annotation #avaloniaui #software #devlog #productivity #productivitytools #drawing
Pipeline release! nf-core/proteinannotator v1.0.0 - Yellow Saiga!
Generation of sequence-level annotations for amino acid sequences
Please see the changelog: https://github.com/nf-core/proteinannotator/releases/tag/1.0.0
#annotation #proteomics #nfcore #openscience #nextflow #bioinformatics
François Chollet (@fchollet)
비검증(non-verifiable) 도메인에서는 현재 AI 성능을 향상시키려면 더 많은 주석(annotated) 훈련 데이터를 큐레이션하는 방법뿐이며 이는 비용이 많이 들고 개선 효과는 로그적이라는 주장입니다. 또한 거의 모든 직무에 비검증 요소가 포함되어 있다는 점을 지적합니다. (데이터·학습 한계 관련 통찰)
For non-verifiable domains, the only way you can improve AI performance at this time is via curating more annotated training data, which is expensive and only yields logarithmic improvements. And here's the thing: nearly all jobs have non-verifiable elements. There's virtually
Pipeline release! nf-core/mag v5.4.0 - mag 5.4.0 - Yellow Frog!
Assembly and binning of metagenomes
Please see the changelog: https://github.com/nf-core/mag/releases/tag/5.4.0
#annotation #assembly #binning #longreadsequencing #metagenomes #metagenomics #nanopore #nanoporesequencing #nfcore #openscience #nextflow #bioinformatics
Another batch of juicy features in 0.0.7 version of iScribby. You can now draw basic shapes on your screen like arrows, circles, squares and straight lines.
https://iscribby.com/changelog
#dotnet #annotation #avaloniaui #software #devlog #productivity #productivitytools #drawing
Ultralytics (@ultralytics)
MobileSAM과 검출 모델을 결합해 분할(segmentation) 데이터셋을 자동 주석(automatic annotation)하는 워크플로를 소개. 검출 모델로 객체를 찾고 MobileSAM으로 고품질 분할 마스크를 자동 생성해 데이터셋 제작을 가속화하고 수작업 라벨링 부담을 크게 줄일 수 있다고 설명함.
https://x.com/ultralytics/status/2013300450674475495
#mobilesam #segmentation #dataset #annotation #computervision
Auto-annotate segmentation datasets with MobileSAM! ✍️ Use a detection model together with MobileSAM to automatically generate high-quality segmentation masks—ideal for accelerating dataset creation and significantly reducing manual labeling effort. Read more ➡️
[metacode - 액션 코멘트 표준화를 위한 선언적 주석 언어와 파서
Metacode는 Python 생태계에서 다양한 도구들이 사용하는 특수 주석을 표준화하기 위한 선언적 주석 언어와 파서를 제안합니다. 이를 통해 액션 코멘트의 혼란을 해소하고, 주석의 구조화와 효율적인 처리를 지원합니다. 이 라이브러리는 주석의 표준화, 여러 도구에 대한 주석의 동시 처리, 선택적 파싱 기능 등을 포함하며, 타 언어로의 확장도 가능합니다.
Another delicious feature in 0.0.6 version of iScribby. You can now set a background - draw on a blackboard, whiteboard or a semi-transparent overlay if needed.
https://iscribby.com/changelog
#dotnet #annotation #avaloniaui #software #devlog #productivity
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