Principal algorithms for the control of Kourovka Observatory SBG camera

We report the algorithms used in the software of the upgraded SBG camera. Fast-moving satellites are observed in the "rotated" coordinate system where one of the axes points towards the pole of the object's orbit. The ephemeris for this coordinate system is computed based on the ephemeris for the equatorial coordinate system using special transition matrices. The parameters of the matrices are the coordinates of the orbital pole, which are found by averaging the vector products of the radius vectors of the consecutive positions of the satellite. The position angle of the image is computed as the difference between the hour angles of the orbital and celestial poles in the coordinate system, the pole of which coincides with the optical center of the frame. The speed of object tracking is computed via quadratic interpolation of the ephemeris in the "rotated" coordinate system. © 2012 Pleiades Publishing, Ltd

Additional file 1: Figure S1. of Transversions have larger regulatory effects than transitions

and Tables S7. and S8. Figure S1. Amplicons targeting DHS and active histone markers in multiple cell lines. In total, 104 DHS were captured using 174 amplicons. Amplicons were tiled across target regions and also captured at least 50 bp upstream and downstream of each DHS. Amplicon are ~400-425 bp in length. Table S7. Effects of Tv’s on regulatory element activity in Patwardhan et al. dataset. Table S8. Population STARR-seq primer sequences. (DOCX 255 kb

Additional file 4: Table S6. of Transversions have larger regulatory effects than transitions

Haplotype Effects. (XLSX 64 kb

Additional file 5: Table S2. of Transversions have larger regulatory effects than transitions

Custom Amplicon Coordinates (BED format). (XLSX 12 kb

Additional file 2: Table S1. of Transversions have larger regulatory effects than transitions

DHS coordinates at 3q25 (BED format). (XLSX 11 kb

Scaling of an antibody validation procedure enables quantification of antibody performance in major research applications.

Antibodies are critical reagents to detect and characterize proteins. It is commonly understood that many commercial antibodies do not recognize their intended targets, but information on the scope of the problem remains largely anecdotal, and as such, feasibility of the goal of at least one potent and specific antibody targeting each protein in a proteome cannot be assessed. Focusing on antibodies for human proteins, we have scaled a standardized characterization approach using parental and knockout cell lines (Laflamme et al., 2019) to assess the performance of 614 commercial antibodies for 65 neuroscience-related proteins. Side-by-side comparisons of all antibodies against each target, obtained from multiple commercial partners, have demonstrated that: (i) more than 50% of all antibodies failed in one or more applications, (ii) yet, ~50-75% of the protein set was covered by at least one high-performing antibody, depending on application, suggesting that coverage of human proteins by commercial antibodies is significant; and (iii) recombinant antibodies performed better than monoclonal or polyclonal antibodies. The hundreds of underperforming antibodies identified in this study were found to have been used in a large number of published articles, which should raise alarm. Encouragingly, more than half of the underperforming commercial antibodies were reassessed by the manufacturers, and many had alterations to their recommended usage or were removed from the market. This first study helps demonstrate the scale of the antibody specificity problem but also suggests an efficient strategy toward achieving coverage of the human proteome; mine the existing commercial antibody repertoire, and use the data to focus new renewable antibody generation efforts